Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Our client a prestigious global enterprise has an opening for an Live Services Manager to join their UK office based in London. This role is responsible for the management and delivery of in-person, hybrid and virtual meetings & events through their full life production cycle. Responsibilities: Support in the development and implementation of Live offer and growth plan through existing clients and procurement of new business. Support in the identifying and exploiting opportunities within the company by raising the profile of the team and offer. Prepare and write effective proposals and statements of work. Manage Live clients on a day-to-day basis, taking responsibility for the successful delivery of projects and the quality of service provided to them. Help clients to determine the best solutions to meet the communications needs of each event (such as live experience design, presentation management and production, network infrastructure, codecs/streaming formats). Price and run projects commercially ensuing that all quotes correctly reflect the level of service that is being delivered. Oversee the successful delivery of in-person, hybrid and virtual meetings & events from concept to event to archive. Demonstrate the ability to lead complex projects and manage the project teams. Plan and manage the resourcing of projects over the year, identifying pinch points and gaps in the schedule. Demonstrate a strong interest in and awareness of the innovative tools and applications for meetings and events and keep up to date with trends in the business. Demonstrate a good knowledge of all aspects of audio-visual production and presentation technology, broadcast streaming encoding equipment and software. Seek and look for best practice on production technology, broadcast platforms and players, advising on where the business should develop and grow. Skills Required: A proven track record of experience running in-person, hybrid and virtual meetings & events for corporate companies. The ability to operate effectively in a highly pressured live event environment to the highest possible standards within tight deadlines. Excellent organisational, planning, management, and communication skills. Demonstrate successful live, hybrid and virtual event and on-demand streaming. Able to collaboration successfully with teams across multiple projects. A good understanding and general ability to work with audio-visual production technologies across, lighting, video and sound for live meetings and events; web streaming technology management including analogue phone lines, video conferencing, ISDN, IP, fibre and satellite distribution. Understanding of corporate presentation platform and technologies including media Servers web compression technologies Flash/Windows Media and browser compatibilities. Familiarity with Content Management Systems. Good knowledge of encoding software (Wire cast, FMLE). Good knowledge of HTML, CSS, Microsoft Office. Basic knowledge of Photoshop and AV Editing Tools. High Proficiency with Microsoft Office (Word, Excel, and PowerPoint). Strong interest in and awareness of the social media and live event and webcasting world.
17/05/2024
Full time
Our client a prestigious global enterprise has an opening for an Live Services Manager to join their UK office based in London. This role is responsible for the management and delivery of in-person, hybrid and virtual meetings & events through their full life production cycle. Responsibilities: Support in the development and implementation of Live offer and growth plan through existing clients and procurement of new business. Support in the identifying and exploiting opportunities within the company by raising the profile of the team and offer. Prepare and write effective proposals and statements of work. Manage Live clients on a day-to-day basis, taking responsibility for the successful delivery of projects and the quality of service provided to them. Help clients to determine the best solutions to meet the communications needs of each event (such as live experience design, presentation management and production, network infrastructure, codecs/streaming formats). Price and run projects commercially ensuing that all quotes correctly reflect the level of service that is being delivered. Oversee the successful delivery of in-person, hybrid and virtual meetings & events from concept to event to archive. Demonstrate the ability to lead complex projects and manage the project teams. Plan and manage the resourcing of projects over the year, identifying pinch points and gaps in the schedule. Demonstrate a strong interest in and awareness of the innovative tools and applications for meetings and events and keep up to date with trends in the business. Demonstrate a good knowledge of all aspects of audio-visual production and presentation technology, broadcast streaming encoding equipment and software. Seek and look for best practice on production technology, broadcast platforms and players, advising on where the business should develop and grow. Skills Required: A proven track record of experience running in-person, hybrid and virtual meetings & events for corporate companies. The ability to operate effectively in a highly pressured live event environment to the highest possible standards within tight deadlines. Excellent organisational, planning, management, and communication skills. Demonstrate successful live, hybrid and virtual event and on-demand streaming. Able to collaboration successfully with teams across multiple projects. A good understanding and general ability to work with audio-visual production technologies across, lighting, video and sound for live meetings and events; web streaming technology management including analogue phone lines, video conferencing, ISDN, IP, fibre and satellite distribution. Understanding of corporate presentation platform and technologies including media Servers web compression technologies Flash/Windows Media and browser compatibilities. Familiarity with Content Management Systems. Good knowledge of encoding software (Wire cast, FMLE). Good knowledge of HTML, CSS, Microsoft Office. Basic knowledge of Photoshop and AV Editing Tools. High Proficiency with Microsoft Office (Word, Excel, and PowerPoint). Strong interest in and awareness of the social media and live event and webcasting world.
Site Reliability Engineer (x2) Permanent/Remote £50,000 - £85,000 We have an exciting opportunity to join a leading FinTech business as a Site Reliability Engineer. There are currently two available roles. The two Site Reliability Engineers will work closely and collaboratively with a variety of teams to ensure the foundations of the platform, ensuring that it is scalable and robust. The right candidates will have strong experience with AWS and MongoDB, deploying infrastructure as code (ideally Terraform) and proficient with a variety of CI/CD tools. Experience Proficient with AWS - Lambda, API Gateway, SQS, and scaling AWS solutions with networking architectures from scratch. Skilled in managing and optimising databases at scale. (MongoDB) Build robust observability platforms, mitigates alert fatigue, and understands SLO/SLA concepts. Proficient with Terraform with ability to Automate infrastructure provisioning and deployment processes. Proven experience responding to and resolving incidents, focusing on prevention. Experienced with GitHub Actions, Jenkins, CircleCI, GitLab, and others, for streamlined development and deployment. Ability to translate technical concepts for both technical and non-technical audiences, fostering clear communication. Responsibilities Utilise your expertise in AWS and MongoDB to design highly scalable and robust architecture Deploy infrastructure as code Ensure the availability and recoverability of our platform Empower squads to own end-to-end with by driving best practice in key areas such as deployment practices, infrastructure, and observability
17/05/2024
Full time
Site Reliability Engineer (x2) Permanent/Remote £50,000 - £85,000 We have an exciting opportunity to join a leading FinTech business as a Site Reliability Engineer. There are currently two available roles. The two Site Reliability Engineers will work closely and collaboratively with a variety of teams to ensure the foundations of the platform, ensuring that it is scalable and robust. The right candidates will have strong experience with AWS and MongoDB, deploying infrastructure as code (ideally Terraform) and proficient with a variety of CI/CD tools. Experience Proficient with AWS - Lambda, API Gateway, SQS, and scaling AWS solutions with networking architectures from scratch. Skilled in managing and optimising databases at scale. (MongoDB) Build robust observability platforms, mitigates alert fatigue, and understands SLO/SLA concepts. Proficient with Terraform with ability to Automate infrastructure provisioning and deployment processes. Proven experience responding to and resolving incidents, focusing on prevention. Experienced with GitHub Actions, Jenkins, CircleCI, GitLab, and others, for streamlined development and deployment. Ability to translate technical concepts for both technical and non-technical audiences, fostering clear communication. Responsibilities Utilise your expertise in AWS and MongoDB to design highly scalable and robust architecture Deploy infrastructure as code Ensure the availability and recoverability of our platform Empower squads to own end-to-end with by driving best practice in key areas such as deployment practices, infrastructure, and observability
Job Title: RTE/Release Manager - CRM Program Location: Brussels, Belgium Duration: 6 months or more Rate: €650 - €800 per day (DOE) About the Role: We are seeking a highly experienced Release Train Engineer (RTE)/Release Manager to join our team for a CRM program based in Brussels. The ideal candidate will have extensive experience in managing releases and interdependencies across various streams within the program. This role requires someone with a senior level of expertise who can effectively manage the coordination of activities, particularly with Indian offshore teams. Key Responsibilities: Lead and coordinate release planning and execution activities for the CRM program. Manage interdependencies between different streams and releases to ensure smooth delivery. Work closely with Indian offshore teams, providing guidance and ensuring alignment with program objectives. Drive continuous improvement in release processes and practices to enhance efficiency and quality. Collaborate with stakeholders to identify and mitigate risks associated with releases. Provide leadership and mentorship to team members, fostering a culture of collaboration and accountability. Requirements: Proven experience as a Release Train Engineer (RTE) or Release Manager in large-scale CRM programs. Strong understanding of Agile methodologies, particularly in the context of release management. Experience working with Indian offshore teams, including effective communication and coordination. Excellent interpersonal and communication skills, with the ability to interact with stakeholders at all levels. Ability to manage complex interdependencies and navigate challenges effectively. Demonstrated leadership skills with a track record of driving results in a fast-paced environment. Prior experience in senior-level roles within IT or software development. English and French or Dutch language Additional Information: This is an exciting opportunity for a seasoned RTE/Release Manager to play a pivotal role in a high-profile CRM program. The position offers competitive compensation and the chance to work with a dynamic team in a collaborative environment. If you meet the above requirements and are ready to take on this challenge, we encourage you to apply and join us in shaping the future of our CRM program.
17/05/2024
Project-based
Job Title: RTE/Release Manager - CRM Program Location: Brussels, Belgium Duration: 6 months or more Rate: €650 - €800 per day (DOE) About the Role: We are seeking a highly experienced Release Train Engineer (RTE)/Release Manager to join our team for a CRM program based in Brussels. The ideal candidate will have extensive experience in managing releases and interdependencies across various streams within the program. This role requires someone with a senior level of expertise who can effectively manage the coordination of activities, particularly with Indian offshore teams. Key Responsibilities: Lead and coordinate release planning and execution activities for the CRM program. Manage interdependencies between different streams and releases to ensure smooth delivery. Work closely with Indian offshore teams, providing guidance and ensuring alignment with program objectives. Drive continuous improvement in release processes and practices to enhance efficiency and quality. Collaborate with stakeholders to identify and mitigate risks associated with releases. Provide leadership and mentorship to team members, fostering a culture of collaboration and accountability. Requirements: Proven experience as a Release Train Engineer (RTE) or Release Manager in large-scale CRM programs. Strong understanding of Agile methodologies, particularly in the context of release management. Experience working with Indian offshore teams, including effective communication and coordination. Excellent interpersonal and communication skills, with the ability to interact with stakeholders at all levels. Ability to manage complex interdependencies and navigate challenges effectively. Demonstrated leadership skills with a track record of driving results in a fast-paced environment. Prior experience in senior-level roles within IT or software development. English and French or Dutch language Additional Information: This is an exciting opportunity for a seasoned RTE/Release Manager to play a pivotal role in a high-profile CRM program. The position offers competitive compensation and the chance to work with a dynamic team in a collaborative environment. If you meet the above requirements and are ready to take on this challenge, we encourage you to apply and join us in shaping the future of our CRM program.
Job Title: Technology Architect Location: UK/London, Remote Salary : 80-90K Contract Type: Full Time About The Company You will be joining a team of creators and champions of the best British TV, and hosts to the world's largest collection. Who are on a mission to bring the most engaging and relevant British TV experience to fans all around the world. Job Purpose This creative company is on the lookout for a dynamic Technology Architect to join their passionate team, focusing on creating and refining scalable video streaming products with a global scope. This pivotal role is Embedded within a diverse and skilled team, where creativity, collaboration, and a commitment to quality are highly valued. As a Technology Architect, you'll play a crucial role in both contributing to and shaping the team's strategy and technological direction. Your responsibilities will include working closely with the Lead Solution Architect in a hands-on capacity, directly influencing and shaping their pioneering global video streaming services. You'll engage in various projects, from enhancing current streaming platforms to designing innovative solutions for global content delivery, ensuring that the organisation continue to offer top tier streaming experiences. A Technical Architect would: Have a solid understanding of cloud services like AWS or MSFT Azure and how they can be leveraged in different scenarios. Translate technical requirements into detailed architecture for robust and scalable systems. Work closely with development teams to understand their needs and assist in implementing CI/CD pipelines. Have experience with software development processes and be able to guide and support teams in adhering to best practices. Act as a bridge between the technical team and the Lead Solution Architect, ensuring that the technical details align with the overall solution architecture. Responsibilities Technical Leadership Collaborate closely with the Lead Architect and act as a key member in technology sessions, providing technical expertise and oversight on new and existing solutions. Oversee 3rd party application architectures and integration's while ensuring best practices and compliance with corporate policies and standards. Demonstrate the ability to work autonomously, taking direction and executing with precision. Provide technical oversight to product development, support, and quality assurance teams. Analyse existing systems and identify areas for improvement or optimization. Evaluate new technologies and trends to propose enhancements or updates to the current systems. Knowledge and experience with specific technologies and tools, such as Kubernetes, Docker, .Net, Python, or Node.js, are highly desirable. Business & Analysis Monitor service operations performance, ensuring core KPIs are met. Oversee SLA reporting and conduct ad hoc analysis, providing transparency into the global technology stack's performance. Act as an internal technology consultant, leading and managing strategic projects with a proactive approach. Collaborate across all stakeholder teams to understand business needs and goals. Document and prioritise requirements alongside the product team, with consideration for both functional and non-functional aspects. Develop detailed use cases and user stories that outline specific interactions and workflows. Skills and Personal Attributes Strong analytical skills to assess and resolve issues quickly and effectively. Demonstrable experience in Software Engineering and Architecture. Ability to translate business and operational requirements into solution designs. Strong communication skills and the ability to work autonomously given direction. Proactivity and a strong desire to take initiative. Familiarity with Agile working practices. Willingness to learn and adapt to new technologies and changes. Effectively managing one's own time and prioritising tasks to meet deadlines. Understanding and respect for diverse cultures and practices. Qualifications and Experience AWS Certified Solutions Architect-Associate or Professional is highly desirable. Mid-level experience in software design patterns and cloud-based solutions. Must have experience with AWS; knowledge of Azure is a plus. Experience in developing direct-to-consumer technologies and cloud-scale microservices development. Experience with OTT (Over-The-Top) is a strong plus. Knowledge of scalable digital consumer product architectures, preferably in SVOD and/or media supply chain areas Familiarity with connected TV platforms (Roku, tvOS, Samsung, LG, etc.) and mobile applications (iOS, Android), with an emphasis on understanding their architectures and integrations rather than hands-on development. If you are looking for a new opportunity and interested in thus role then please apply today! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
17/05/2024
Full time
Job Title: Technology Architect Location: UK/London, Remote Salary : 80-90K Contract Type: Full Time About The Company You will be joining a team of creators and champions of the best British TV, and hosts to the world's largest collection. Who are on a mission to bring the most engaging and relevant British TV experience to fans all around the world. Job Purpose This creative company is on the lookout for a dynamic Technology Architect to join their passionate team, focusing on creating and refining scalable video streaming products with a global scope. This pivotal role is Embedded within a diverse and skilled team, where creativity, collaboration, and a commitment to quality are highly valued. As a Technology Architect, you'll play a crucial role in both contributing to and shaping the team's strategy and technological direction. Your responsibilities will include working closely with the Lead Solution Architect in a hands-on capacity, directly influencing and shaping their pioneering global video streaming services. You'll engage in various projects, from enhancing current streaming platforms to designing innovative solutions for global content delivery, ensuring that the organisation continue to offer top tier streaming experiences. A Technical Architect would: Have a solid understanding of cloud services like AWS or MSFT Azure and how they can be leveraged in different scenarios. Translate technical requirements into detailed architecture for robust and scalable systems. Work closely with development teams to understand their needs and assist in implementing CI/CD pipelines. Have experience with software development processes and be able to guide and support teams in adhering to best practices. Act as a bridge between the technical team and the Lead Solution Architect, ensuring that the technical details align with the overall solution architecture. Responsibilities Technical Leadership Collaborate closely with the Lead Architect and act as a key member in technology sessions, providing technical expertise and oversight on new and existing solutions. Oversee 3rd party application architectures and integration's while ensuring best practices and compliance with corporate policies and standards. Demonstrate the ability to work autonomously, taking direction and executing with precision. Provide technical oversight to product development, support, and quality assurance teams. Analyse existing systems and identify areas for improvement or optimization. Evaluate new technologies and trends to propose enhancements or updates to the current systems. Knowledge and experience with specific technologies and tools, such as Kubernetes, Docker, .Net, Python, or Node.js, are highly desirable. Business & Analysis Monitor service operations performance, ensuring core KPIs are met. Oversee SLA reporting and conduct ad hoc analysis, providing transparency into the global technology stack's performance. Act as an internal technology consultant, leading and managing strategic projects with a proactive approach. Collaborate across all stakeholder teams to understand business needs and goals. Document and prioritise requirements alongside the product team, with consideration for both functional and non-functional aspects. Develop detailed use cases and user stories that outline specific interactions and workflows. Skills and Personal Attributes Strong analytical skills to assess and resolve issues quickly and effectively. Demonstrable experience in Software Engineering and Architecture. Ability to translate business and operational requirements into solution designs. Strong communication skills and the ability to work autonomously given direction. Proactivity and a strong desire to take initiative. Familiarity with Agile working practices. Willingness to learn and adapt to new technologies and changes. Effectively managing one's own time and prioritising tasks to meet deadlines. Understanding and respect for diverse cultures and practices. Qualifications and Experience AWS Certified Solutions Architect-Associate or Professional is highly desirable. Mid-level experience in software design patterns and cloud-based solutions. Must have experience with AWS; knowledge of Azure is a plus. Experience in developing direct-to-consumer technologies and cloud-scale microservices development. Experience with OTT (Over-The-Top) is a strong plus. Knowledge of scalable digital consumer product architectures, preferably in SVOD and/or media supply chain areas Familiarity with connected TV platforms (Roku, tvOS, Samsung, LG, etc.) and mobile applications (iOS, Android), with an emphasis on understanding their architectures and integrations rather than hands-on development. If you are looking for a new opportunity and interested in thus role then please apply today! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a M365 Platform Manager. This manager will have a heavy focus with MS Teams. The team is seeking at least three to four years' experience in MS Teams that includes audio/visual conferencing, analytics, Team Premium, and MT SME. Also will need experience with SharePoint Online, OneDrive, OneNote, Planner Streams, PowerShell, etc. They will manage a team of consultants and focus on policies, compliance, change management, etc. Responsibilities: Provide leadership in establishing robust M365 service administration protocols Administers M365 collaboration tools, including SharePoint Online, MS Teams, OneNote, OneDrive, Streams, Planner, Viva Engage, etc Continually develops the processes and policies for provisioning Forms a community with the Global Assistant Director of M365 Platform, the Cloud Architect, the Enterprise Application Architect (and with others as needed) to provide collective oversight of the M365 ecosystem Promotes optimal useability of M365 services Monitors Microsoft's roadmap for upgrades to M365 services and establishes the mechanisms by which we share relevant changes with our people Works with the office of the Director of Information Governance in ensuring content management policies for M365 are in compliance and updated as business needs evolve Works closely with the Security team, prioritizing safety of the firm's systems and content Identifies potential points of integration between M365 services on the core device-top and works with technical colleagues to deliver key integrations Promotes use of the data available via the Microsoft admin portal to identify areas of untapped benefit, and to foster our continuing path towards a data-driven organization Provides level three support for functional requests relating to M365 collaboration services Develop and/or lead change management efforts across all phases of projects and initiatives to drive the Firm's culture of continuous improvement Ensures vendors provide proper levels of support, maintain SLA's, and provide root cause analysis for escalated issues Ensures all team, departmental and firm policies and procedures are adhered to, including technical change management and service continuity Completes all administrative tasks, ie, (time tracking, project and task updates, trouble ticket notes, status reports, responding to email, etc.) accurately and on time Qualifications Bachelor's degree in Computer Science or a related field. 5+ years of M365 product experience Prior experience in M365, specifically MS Teams and SharePoint Online administration, and guiding their use within an organization In depth knowledge of SharePoint Online and Microsoft Teams is required Holistic knowledge of the M365 Suite is required Knowledge of Intapp Workspaces is helpful PowerShell Scripting Proven change management skills M365 certification, such as MS Teams Specialist, SPO Admin and or Development
16/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a M365 Platform Manager. This manager will have a heavy focus with MS Teams. The team is seeking at least three to four years' experience in MS Teams that includes audio/visual conferencing, analytics, Team Premium, and MT SME. Also will need experience with SharePoint Online, OneDrive, OneNote, Planner Streams, PowerShell, etc. They will manage a team of consultants and focus on policies, compliance, change management, etc. Responsibilities: Provide leadership in establishing robust M365 service administration protocols Administers M365 collaboration tools, including SharePoint Online, MS Teams, OneNote, OneDrive, Streams, Planner, Viva Engage, etc Continually develops the processes and policies for provisioning Forms a community with the Global Assistant Director of M365 Platform, the Cloud Architect, the Enterprise Application Architect (and with others as needed) to provide collective oversight of the M365 ecosystem Promotes optimal useability of M365 services Monitors Microsoft's roadmap for upgrades to M365 services and establishes the mechanisms by which we share relevant changes with our people Works with the office of the Director of Information Governance in ensuring content management policies for M365 are in compliance and updated as business needs evolve Works closely with the Security team, prioritizing safety of the firm's systems and content Identifies potential points of integration between M365 services on the core device-top and works with technical colleagues to deliver key integrations Promotes use of the data available via the Microsoft admin portal to identify areas of untapped benefit, and to foster our continuing path towards a data-driven organization Provides level three support for functional requests relating to M365 collaboration services Develop and/or lead change management efforts across all phases of projects and initiatives to drive the Firm's culture of continuous improvement Ensures vendors provide proper levels of support, maintain SLA's, and provide root cause analysis for escalated issues Ensures all team, departmental and firm policies and procedures are adhered to, including technical change management and service continuity Completes all administrative tasks, ie, (time tracking, project and task updates, trouble ticket notes, status reports, responding to email, etc.) accurately and on time Qualifications Bachelor's degree in Computer Science or a related field. 5+ years of M365 product experience Prior experience in M365, specifically MS Teams and SharePoint Online administration, and guiding their use within an organization In depth knowledge of SharePoint Online and Microsoft Teams is required Holistic knowledge of the M365 Suite is required Knowledge of Intapp Workspaces is helpful PowerShell Scripting Proven change management skills M365 certification, such as MS Teams Specialist, SPO Admin and or Development
Job Title - Service Management Lead - Finance Shared Services Location - Newcastle Upon Tyne - Hybrid (3 dpw on-site) Salary - £40 - £45K Per Annum Benefits - Excellent Benefits The Client - Curo are Partnering with a Global Organisation, consisting of Designers, Engineers and Consultants, dedicated to sustainable development. They support their clients to solve the most complex challenges, turning their ideas into reality, leveraging the latest technology. The Candidate - This role requires a candidate with excellent commercial acumen, who can ensure consistency with professional and clear formatted documents. This role will be focused on the on the process of on boarding of new client accounts, including monthly reporting packs, service review documents, and documenting financial processes. There will be no team or stakeholder management, this is a project based role in support of the Delivery Managers. There will be involvement in client review meetings, however this will be from the perspective of governance and risk, and ensuring that actions and follow up's are recorded. This role requires a natural rapport builder with the ability to manage up and down, as well as being able to take stock and document current processes, and support in change management. The key deliverable is a Service Catalogue, with new uniform processes and procedures, to maximise efficiency, and streamline where possible. The Role - The Service Management Lead, in Finance Shared Services is responsible for leading the global implementation and operation of processes and activities to facilitate the effective governance of services provided by the Finance SSC teams. This includes the documentation and definition of the services provided to each country supported, the establishment and agreement of targets to be delivered from the services, the establishment and coordination of a consistent service review process with agreed stakeholders and SSC members, the tracking of actions and status and effective change control to manage changes in scope of services. The Service Management Lead enables and facilitates the governance processes as a support to the SSC leadership, but accountability for the services and outcomes sits with the operational teams in the SSC. Key responsibilities: Establish and maintain a service definition to ensure ongoing clarity in scope of service expected outcomes for all countries supported Develop RACI (Responsible, Accountable, Consulted, and Informed) documentation for the activities supported, clarifying respective responsibilities between the SSC and its partners. Facilitate review between SSC managers and SSC stakeholders to align on definition of service Work with the SSC managers to propose appropriate Service Levels and KPIs (Key Performance Indicators) for the services delivered and support the agreement of these metrics with Stakeholders. Establish and oversee a program of standardized service review meetings between SSC and internal customers to discuss service progress, process performance, issues, and challenges, ensuring the outcomes to the meetings are captured and actions followed up on both the customer and SSC sides. Establish a change control process to allow for appropriate review of services provided and changes requested with a view to maximizing standardization, ensuring effective resourcing and realistic deliverables. Ensure compliance with relevant laws, regulations, and global standard policies and procedures including tax and accounting regulations. Define, implement, and maintain documentation online to maximize the transparency of all aspects of the services provided and processes supported. Requirements: Experience in a highly governed or regulated environment such as financial services or shared services or outsourcing Expertise in stakeholder management, preferably in a complex environment Excellent understanding of finance processes Background in process mapping and documentation, with expertise in production of service definition/contractual scoping documentation. First-hand experience of operational environments where the governance of service has been necessary to ensure successful delivery Expert in the production of RACI documentation Excellent relationship builder, maximizing trust and reliability Superb communicator Advanced MS Office skills with the ability to present information in a credible and professional structure and format to support buy in. Curious and interested mindset who will constantly seek to understand and improve the understanding of others A partner and supportive approach to the work aimed at promoting and recognizing the efforts and achievements of SSC teams to support building their confidence and sense of fulfilment. To apply for this Service Management Lead - Finance Shared Services permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
16/05/2024
Full time
Job Title - Service Management Lead - Finance Shared Services Location - Newcastle Upon Tyne - Hybrid (3 dpw on-site) Salary - £40 - £45K Per Annum Benefits - Excellent Benefits The Client - Curo are Partnering with a Global Organisation, consisting of Designers, Engineers and Consultants, dedicated to sustainable development. They support their clients to solve the most complex challenges, turning their ideas into reality, leveraging the latest technology. The Candidate - This role requires a candidate with excellent commercial acumen, who can ensure consistency with professional and clear formatted documents. This role will be focused on the on the process of on boarding of new client accounts, including monthly reporting packs, service review documents, and documenting financial processes. There will be no team or stakeholder management, this is a project based role in support of the Delivery Managers. There will be involvement in client review meetings, however this will be from the perspective of governance and risk, and ensuring that actions and follow up's are recorded. This role requires a natural rapport builder with the ability to manage up and down, as well as being able to take stock and document current processes, and support in change management. The key deliverable is a Service Catalogue, with new uniform processes and procedures, to maximise efficiency, and streamline where possible. The Role - The Service Management Lead, in Finance Shared Services is responsible for leading the global implementation and operation of processes and activities to facilitate the effective governance of services provided by the Finance SSC teams. This includes the documentation and definition of the services provided to each country supported, the establishment and agreement of targets to be delivered from the services, the establishment and coordination of a consistent service review process with agreed stakeholders and SSC members, the tracking of actions and status and effective change control to manage changes in scope of services. The Service Management Lead enables and facilitates the governance processes as a support to the SSC leadership, but accountability for the services and outcomes sits with the operational teams in the SSC. Key responsibilities: Establish and maintain a service definition to ensure ongoing clarity in scope of service expected outcomes for all countries supported Develop RACI (Responsible, Accountable, Consulted, and Informed) documentation for the activities supported, clarifying respective responsibilities between the SSC and its partners. Facilitate review between SSC managers and SSC stakeholders to align on definition of service Work with the SSC managers to propose appropriate Service Levels and KPIs (Key Performance Indicators) for the services delivered and support the agreement of these metrics with Stakeholders. Establish and oversee a program of standardized service review meetings between SSC and internal customers to discuss service progress, process performance, issues, and challenges, ensuring the outcomes to the meetings are captured and actions followed up on both the customer and SSC sides. Establish a change control process to allow for appropriate review of services provided and changes requested with a view to maximizing standardization, ensuring effective resourcing and realistic deliverables. Ensure compliance with relevant laws, regulations, and global standard policies and procedures including tax and accounting regulations. Define, implement, and maintain documentation online to maximize the transparency of all aspects of the services provided and processes supported. Requirements: Experience in a highly governed or regulated environment such as financial services or shared services or outsourcing Expertise in stakeholder management, preferably in a complex environment Excellent understanding of finance processes Background in process mapping and documentation, with expertise in production of service definition/contractual scoping documentation. First-hand experience of operational environments where the governance of service has been necessary to ensure successful delivery Expert in the production of RACI documentation Excellent relationship builder, maximizing trust and reliability Superb communicator Advanced MS Office skills with the ability to present information in a credible and professional structure and format to support buy in. Curious and interested mindset who will constantly seek to understand and improve the understanding of others A partner and supportive approach to the work aimed at promoting and recognizing the efforts and achievements of SSC teams to support building their confidence and sense of fulfilment. To apply for this Service Management Lead - Finance Shared Services permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Contract Role, Hybrid Working, Sustainability Consultant, Sustainable Supply Chains, Sustainability Manager, Reporting, Sustainability Framework/Strategies, Biodiversity, Human Rights, TCFD, Sustainable Future, Reporting, Delivery of Sustainability Framework, NetZero Transition, Project Management, Power BI Analytics My leading client is looking a Sustainability Consultant who can assist with the delivery of a Sustainability Framework by assessing, analysing, developing, implementing, monitoring, and measuring a programme of initiatives - to develop a Net Zero Transition Plan. The span of the role will cover everything from carbon, biodiversity, human rights, social value, water, waste and other priority workstreams. You will be tasked with reviewing and analyse sustainability technologies and solutions. Conduct detailed feasibility studies and make practical recommendations for adoption and operation. Support and coordinate the sustainability team's programme of activities. Develop project plans, feasibility and technical analyses, and financial business cases for operational implementation. Develop KPIs and performance management reports in line with our sustainability strategy. Collaborate with Group and Divisional functions to monitor and measure the impact of initiatives. Key Skills Passion for everything related to sustainability - Uk and Global viewpoints Background construction/sustainable supply chains. Power BI Analystics Development of corporate sustainability strategies across a broad range of issues including biodiversity, waste, social mobility, human rights, greenhouse gas reporting and transition plan creation and evaluation. Numerate with strong analytical skills, and able to produce high quality reports and materials autonomously. Experience of TCFD reporting. Project Management Challenging Conventional Practise If this sounds of interest, please send me your CV ASAP
16/05/2024
Project-based
Contract Role, Hybrid Working, Sustainability Consultant, Sustainable Supply Chains, Sustainability Manager, Reporting, Sustainability Framework/Strategies, Biodiversity, Human Rights, TCFD, Sustainable Future, Reporting, Delivery of Sustainability Framework, NetZero Transition, Project Management, Power BI Analytics My leading client is looking a Sustainability Consultant who can assist with the delivery of a Sustainability Framework by assessing, analysing, developing, implementing, monitoring, and measuring a programme of initiatives - to develop a Net Zero Transition Plan. The span of the role will cover everything from carbon, biodiversity, human rights, social value, water, waste and other priority workstreams. You will be tasked with reviewing and analyse sustainability technologies and solutions. Conduct detailed feasibility studies and make practical recommendations for adoption and operation. Support and coordinate the sustainability team's programme of activities. Develop project plans, feasibility and technical analyses, and financial business cases for operational implementation. Develop KPIs and performance management reports in line with our sustainability strategy. Collaborate with Group and Divisional functions to monitor and measure the impact of initiatives. Key Skills Passion for everything related to sustainability - Uk and Global viewpoints Background construction/sustainable supply chains. Power BI Analystics Development of corporate sustainability strategies across a broad range of issues including biodiversity, waste, social mobility, human rights, greenhouse gas reporting and transition plan creation and evaluation. Numerate with strong analytical skills, and able to produce high quality reports and materials autonomously. Experience of TCFD reporting. Project Management Challenging Conventional Practise If this sounds of interest, please send me your CV ASAP
Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for an Associate Principal, Appian Development. This role will focus on design, development, testing, and implementation of Appian. Responsibilities: Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Integrating disparate data from REST and WebSocket services within a cohesive user interface Participating in innovative design and proof of concepts with emerging technologies and solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Writes unit and integration tests based on chosen DevOps frameworks Qualifications: BS degree in Computer Science, similar technical field (required) Appian certified developer (required) Blue Prism certified associate developer or higher (preferred) 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required)
15/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for an Associate Principal, Appian Development. This role will focus on design, development, testing, and implementation of Appian. Responsibilities: Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Integrating disparate data from REST and WebSocket services within a cohesive user interface Participating in innovative design and proof of concepts with emerging technologies and solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Writes unit and integration tests based on chosen DevOps frameworks Qualifications: BS degree in Computer Science, similar technical field (required) Appian certified developer (required) Blue Prism certified associate developer or higher (preferred) 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required)
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for an Associate Principal, Appian Development. This role will focus on design, development, testing, and implementation of Appian. Responsibilities: Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Integrating disparate data from REST and WebSocket services within a cohesive user interface Participating in innovative design and proof of concepts with emerging technologies and solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Writes unit and integration tests based on chosen DevOps frameworks Qualifications: BS degree in Computer Science, similar technical field (required) Appian certified developer (required) Blue Prism certified associate developer or higher (preferred) 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required)
15/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for an Associate Principal, Appian Development. This role will focus on design, development, testing, and implementation of Appian. Responsibilities: Applies expert knowledge of Java, Python, JavaScript, NodeJS, Angular 2.0 or ReactJS and middle-ware technologies in independently designing and developing key services with a focus on continuous integration and delivery Participates in code reviews, proactively identifying and mitigating potential issues and defects as well as assisting with continuous improvement Integrating disparate data from REST and WebSocket services within a cohesive user interface Participating in innovative design and proof of concepts with emerging technologies and solutions Embrace industry best practices like continuous integration, continuous deployment, automated testing, TDD etc Follows agreed upon SDLC procedures to ensure that all information system products and services meet: both explicit and implicit quality standards, end-user functional requirements, architectural standards, performance requirements, audit requirements, security rules are upheld, and external facing reporting is properly represented Writes unit and integration tests based on chosen DevOps frameworks Qualifications: BS degree in Computer Science, similar technical field (required) Appian certified developer (required) Blue Prism certified associate developer or higher (preferred) 5+ years of Front End, User Experience, development (required) 5+ years of experience in JavaScript skills (required) 3 + years of experience automating workflows inside Appian and in conjunction with integration to other tools (required) 3+ years of experience in React application development (required) 3+ years of hands-on HTML5/CSS3 experience (required) Experience with Java and/or Python (required) Experience with popular Javascript frameworks such as React, Node JS, Vue, Angular 2.0 (required) Experience of working with websockets, HTTP 1.1 and HTTP/2 (required) Experience with RESTful APIs and JSON RPC (required) Ability to write clean, bug-free code that is easy to understand and easily maintainable (required) Experience with BDD methodologies & automated acceptance testing (required) 5+ years hands-on experience in Java, including good understanding of Java fundamentals such as Memory Model, Runtime Environment, Concurrency and Multithreading (required) Past/Current experience of 3+ years working on a large scale cloud native project (platform: Unix/Linux, Type of Systems: event-driven/transaction processing/high performance computing) as Technical Lead. These experiences should include developing/architecting core libraries or framework used by the platform to support fundamental services like storage, alert notifications, security, etc. (required) Appian Process Modeling, Smart Services, Rules and Tempo event services, database, and Web services (required) Experience with cloud technologies and migrations using public cloud vendor preferably using cloud foundational services like AWS's VPCs, Security groups, EC2, RDS, S3 ACLs, KMS, AWS CLI and IAM etc. (required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Working knowledge of DevOps tools. Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc (required)
Lorien are supporting an established government savings bank that are expanding their proposition within the Retail Banking part of the organisation. With this, they are looking for a Head of Retail Strategy and Innovation. The role will be responsible for leading innovation and strategic thinking for customers, products and services. You will focus on the Design and Management of the banks future propositions, features and customer experience, whilst remaining in partnership with the Retail Services Senior Leadership team. The organisation are evolving and going through significant growth, 'Digital First' is their main objective whilst supporting their customers and design these services to be inclusive and accessible for all. As they aim to increase the pace at which they deliver change and enhancements to services and products, maintaining alignment with customer expectations and the increased competition in the UK savings market. Based on this, the role will include: Streamline processes. Clear process and ownership Greater focus on ongoing service innovation utilising insights and trends from wider industry. Strategy and proposition development should become less iterative and responsive, with documents reviewed and enhancements made on a more regular basis. Own the development of the organisations strategy long-term customer/Retail strategy Identify new Digital innovations to enhance customer experience including technical opportunities offered by suppliers to enrich customer offering and challenge current thinking Understand target customers, needs and barriers, and the market and economic outlook to predict future needs Define innovation approach for customer experience opportunities and problems Be the senior internal specialist for innovation and design thinking methodologies Skills Required: Strong communication skills - written and verbal - You will represent the business across the various levels and within the industry Strong Stakeholder engagement and relationships Customer Centric/Focus Strategic Thinking Forward Thinking Leadership Experience: Working in a innovation, strategy or digital environment Leading teams through transformation projects Agile Salary is paying between £70,000 - £77,000 with 27% pension, 25 days annual leave, 9 day fortnight scheme, performance related bonus plus further benefits. Deadline for applications is Sunday 19th May. Please apply if you feel you match on the above skills and would like to understand more about the role. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
15/05/2024
Full time
Lorien are supporting an established government savings bank that are expanding their proposition within the Retail Banking part of the organisation. With this, they are looking for a Head of Retail Strategy and Innovation. The role will be responsible for leading innovation and strategic thinking for customers, products and services. You will focus on the Design and Management of the banks future propositions, features and customer experience, whilst remaining in partnership with the Retail Services Senior Leadership team. The organisation are evolving and going through significant growth, 'Digital First' is their main objective whilst supporting their customers and design these services to be inclusive and accessible for all. As they aim to increase the pace at which they deliver change and enhancements to services and products, maintaining alignment with customer expectations and the increased competition in the UK savings market. Based on this, the role will include: Streamline processes. Clear process and ownership Greater focus on ongoing service innovation utilising insights and trends from wider industry. Strategy and proposition development should become less iterative and responsive, with documents reviewed and enhancements made on a more regular basis. Own the development of the organisations strategy long-term customer/Retail strategy Identify new Digital innovations to enhance customer experience including technical opportunities offered by suppliers to enrich customer offering and challenge current thinking Understand target customers, needs and barriers, and the market and economic outlook to predict future needs Define innovation approach for customer experience opportunities and problems Be the senior internal specialist for innovation and design thinking methodologies Skills Required: Strong communication skills - written and verbal - You will represent the business across the various levels and within the industry Strong Stakeholder engagement and relationships Customer Centric/Focus Strategic Thinking Forward Thinking Leadership Experience: Working in a innovation, strategy or digital environment Leading teams through transformation projects Agile Salary is paying between £70,000 - £77,000 with 27% pension, 25 days annual leave, 9 day fortnight scheme, performance related bonus plus further benefits. Deadline for applications is Sunday 19th May. Please apply if you feel you match on the above skills and would like to understand more about the role. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
The Information Manager will be a key figure within our Analytics department in the public sector, based in Cardiff. They will oversee data management, ensuring accuracy, compliance and utilisation of information to drive strategic decisions. Client Details Our client is a large public sector company in the transport industry. With over 1,000 employees, they are headquartered in Cardiff and committed to improving transport services across Wales. Description Transport for Wales (TfW) is the not-for-profit company driving forward the Welsh Government's vision of a high-quality, safe, integrated, affordable and accessible transport network in Wales. Our mission is to 'Keep Wales Moving' by providing customer-focused services, expert advice, and infrastructure investment. The Information Management of the IT & Digital Services Directorate will lead, shape and delivery information management and records management in TfW Enterprise Information Management System The Head of Information Management will support the development of a wider strategy within TfW by creating an Information Management strategy, standards and governance to ensure compliance with legal and regulatory requirements reflects best practice, is in line with our strategic objectives and continuous improvement. Develop and implement data management strategies and processes. Maintain data governance and compliance with GDPR. Oversee the collection, storage, and analysis of business data. Collaborate with IT team to ensure data security and solve technical issues. Prepare detailed reports for stakeholders based on data analysis. Identify and recommend new ways to streamline business processes. Ensure data accuracy and consistency across all platforms. Liaise with different departments to gather information and fulfil data requirements. Profile A successful Information Manager should have: * Strong knowledge of information protection, information security, automation, information architecture and governance principals * Excellent strategic thinking and advisory skills * Ability to collaborate effectively with cross-functional teams. * In depth understanding of industry best practices and emerging trends in information management * A thorough understanding and demonstrable experience of working on the Public Records Act and other relevant regulations * Strong knowledge on Microsoft environment on the use of Microsoft as an Enterprise Information Management System. Job Offer A competitive salary in the region of £54,000 per annum. Generous holiday entitlement. Commitment to professional development and career progression. A positive and collaborative company culture, with a focus on employee wellbeing. We strongly encourage talented individuals who believe they can meet the expectations of this role to apply. This is an excellent opportunity to grow professionally within the public sector in Cardiff.
15/05/2024
Full time
The Information Manager will be a key figure within our Analytics department in the public sector, based in Cardiff. They will oversee data management, ensuring accuracy, compliance and utilisation of information to drive strategic decisions. Client Details Our client is a large public sector company in the transport industry. With over 1,000 employees, they are headquartered in Cardiff and committed to improving transport services across Wales. Description Transport for Wales (TfW) is the not-for-profit company driving forward the Welsh Government's vision of a high-quality, safe, integrated, affordable and accessible transport network in Wales. Our mission is to 'Keep Wales Moving' by providing customer-focused services, expert advice, and infrastructure investment. The Information Management of the IT & Digital Services Directorate will lead, shape and delivery information management and records management in TfW Enterprise Information Management System The Head of Information Management will support the development of a wider strategy within TfW by creating an Information Management strategy, standards and governance to ensure compliance with legal and regulatory requirements reflects best practice, is in line with our strategic objectives and continuous improvement. Develop and implement data management strategies and processes. Maintain data governance and compliance with GDPR. Oversee the collection, storage, and analysis of business data. Collaborate with IT team to ensure data security and solve technical issues. Prepare detailed reports for stakeholders based on data analysis. Identify and recommend new ways to streamline business processes. Ensure data accuracy and consistency across all platforms. Liaise with different departments to gather information and fulfil data requirements. Profile A successful Information Manager should have: * Strong knowledge of information protection, information security, automation, information architecture and governance principals * Excellent strategic thinking and advisory skills * Ability to collaborate effectively with cross-functional teams. * In depth understanding of industry best practices and emerging trends in information management * A thorough understanding and demonstrable experience of working on the Public Records Act and other relevant regulations * Strong knowledge on Microsoft environment on the use of Microsoft as an Enterprise Information Management System. Job Offer A competitive salary in the region of £54,000 per annum. Generous holiday entitlement. Commitment to professional development and career progression. A positive and collaborative company culture, with a focus on employee wellbeing. We strongly encourage talented individuals who believe they can meet the expectations of this role to apply. This is an excellent opportunity to grow professionally within the public sector in Cardiff.
Senior KDB Developer - KDB, Q, KDB Plants, Fixed Income I am seeking an experienced KDB Developer to join my client who is a leading Investment Bank based in Canary Wharf. You will be joining the Fixed Income e-trading team to help develop enhancements and deliver automation. Key Responsibilities: Collaborate closely with the KDB Framework, actively engaging with business, traders, and quants to innovate and implement enhancements, focusing on automation. Provide Real Time support to quants and traders, troubleshooting issues efficiently within the dynamic trading environment. Lead the development of new features for the KDB data analytics platform, strengthening infrastructure, and delivering direct support to Fixed Income E-Trading/Sales/Quant desks. Take a proactive role in projects aimed at enhancing functionality and ensuring stability, driving alignment with business objectives. Develop and maintain tools to streamline support for our cutting-edge proprietary trading platform. Identify and pursue opportunities for automating manual tasks across global teams, continuously seeking efficiency improvements. Collaborate closely with traders and quants to analyze Real Time requirements, devise solutions, and oversee the entire life cycle from design through deployment. Work closely with systems development teams to ensure optimal design, deployment, capacity, and operability. Assume full ownership of issues, ensuring comprehensive resolution and driving continuous improvement efforts. Key Skills: KDB Q KDP Plants Fixed Income Experience with end-to-end KDB Solutions This is a contract role, initial 12 months, paying up to £1100 per day PAYE. You will be required to go into the office 2 days per week. Senior KDB Developer - KDB, Q, KDB Plants, Fixed Income
15/05/2024
Project-based
Senior KDB Developer - KDB, Q, KDB Plants, Fixed Income I am seeking an experienced KDB Developer to join my client who is a leading Investment Bank based in Canary Wharf. You will be joining the Fixed Income e-trading team to help develop enhancements and deliver automation. Key Responsibilities: Collaborate closely with the KDB Framework, actively engaging with business, traders, and quants to innovate and implement enhancements, focusing on automation. Provide Real Time support to quants and traders, troubleshooting issues efficiently within the dynamic trading environment. Lead the development of new features for the KDB data analytics platform, strengthening infrastructure, and delivering direct support to Fixed Income E-Trading/Sales/Quant desks. Take a proactive role in projects aimed at enhancing functionality and ensuring stability, driving alignment with business objectives. Develop and maintain tools to streamline support for our cutting-edge proprietary trading platform. Identify and pursue opportunities for automating manual tasks across global teams, continuously seeking efficiency improvements. Collaborate closely with traders and quants to analyze Real Time requirements, devise solutions, and oversee the entire life cycle from design through deployment. Work closely with systems development teams to ensure optimal design, deployment, capacity, and operability. Assume full ownership of issues, ensuring comprehensive resolution and driving continuous improvement efforts. Key Skills: KDB Q KDP Plants Fixed Income Experience with end-to-end KDB Solutions This is a contract role, initial 12 months, paying up to £1100 per day PAYE. You will be required to go into the office 2 days per week. Senior KDB Developer - KDB, Q, KDB Plants, Fixed Income