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.
Job Description: We are seeking a highly skilled and experienced Cloud Specialist with expertise in Azure and AWS cloud architecture to join our dynamic team. As a Cloud Specialist, your primary responsibility will be to design, implement, and maintain reliable cloud-based solutions on Azure and AWS platforms to meet our clients' diverse needs. You will be an integral part of our project teams, working closely with our clients and cross-functional teams to drive successful cloud adoption strategies. Roles and Responsibilities: Design and implement complex and scalable cloud-based solutions on Azure and AWS platforms to meet client requirements, ensuring high availability, performance, scalability, and security. Assess clients' existing infrastructure, applications, and business requirements to architect cloud solutions that align with their strategic goals and technical objectives. Collaborate with clients, project managers, and other technical teams to define cloud migration strategies, develop project plans, and ensure project deliverables are met within budget and timeline. Conduct technical assessments and provide recommendations to optimize clients' cloud environments, ensuring they are cost-effective, secure, and aligned with industry best practices. Lead and participate in cloud design and architecture discussions, providing technical guidance and expertise to project teams and clients. Develop and maintain cloud architecture documentation, including diagrams, reference architectures, and technical specifications. Stay up-to-date with the latest trends and advancements in cloud technologies, monitoring industry changes and making recommendations for continuous improvement of our cloud solutions and services. Skills and Qualifications: Bachelor's degree in computer science, information systems, or a related field. (Master's degree preferred) 5+ years of experience as a cloud architect or similar role, designing and implementing cloud solutions on Azure and AWS platforms. In-depth knowledge and hands-on experience with Azure and AWS cloud services, including compute, networking, storage, databases, and security. Proven expertise in designing and implementing highly available, scalable, and secure cloud architectures using cloud-native and hybrid cloud technologies. Hands-on experience with infrastructure-as-code tools (eg, Terraform, CloudFormation), DevOps practices, and CI/CD pipelines. Strong understanding of cloud security best practices, including identity and access management, encryption, monitoring, and compliance. Excellent written and verbal communication skills, with the ability to translate technical concepts into clear and concise documentation and presentations. Strong problem-solving and troubleshooting skills, with the ability to quickly identify and resolve issues in cloud environments. Certifications in Azure and AWS (eg, Azure Solutions Architect Expert, AWS Certified Solutions Architect - Professional) are highly desirable
17/05/2024
Full time
Job Description: We are seeking a highly skilled and experienced Cloud Specialist with expertise in Azure and AWS cloud architecture to join our dynamic team. As a Cloud Specialist, your primary responsibility will be to design, implement, and maintain reliable cloud-based solutions on Azure and AWS platforms to meet our clients' diverse needs. You will be an integral part of our project teams, working closely with our clients and cross-functional teams to drive successful cloud adoption strategies. Roles and Responsibilities: Design and implement complex and scalable cloud-based solutions on Azure and AWS platforms to meet client requirements, ensuring high availability, performance, scalability, and security. Assess clients' existing infrastructure, applications, and business requirements to architect cloud solutions that align with their strategic goals and technical objectives. Collaborate with clients, project managers, and other technical teams to define cloud migration strategies, develop project plans, and ensure project deliverables are met within budget and timeline. Conduct technical assessments and provide recommendations to optimize clients' cloud environments, ensuring they are cost-effective, secure, and aligned with industry best practices. Lead and participate in cloud design and architecture discussions, providing technical guidance and expertise to project teams and clients. Develop and maintain cloud architecture documentation, including diagrams, reference architectures, and technical specifications. Stay up-to-date with the latest trends and advancements in cloud technologies, monitoring industry changes and making recommendations for continuous improvement of our cloud solutions and services. Skills and Qualifications: Bachelor's degree in computer science, information systems, or a related field. (Master's degree preferred) 5+ years of experience as a cloud architect or similar role, designing and implementing cloud solutions on Azure and AWS platforms. In-depth knowledge and hands-on experience with Azure and AWS cloud services, including compute, networking, storage, databases, and security. Proven expertise in designing and implementing highly available, scalable, and secure cloud architectures using cloud-native and hybrid cloud technologies. Hands-on experience with infrastructure-as-code tools (eg, Terraform, CloudFormation), DevOps practices, and CI/CD pipelines. Strong understanding of cloud security best practices, including identity and access management, encryption, monitoring, and compliance. Excellent written and verbal communication skills, with the ability to translate technical concepts into clear and concise documentation and presentations. Strong problem-solving and troubleshooting skills, with the ability to quickly identify and resolve issues in cloud environments. Certifications in Azure and AWS (eg, Azure Solutions Architect Expert, AWS Certified Solutions Architect - Professional) are highly desirable
Location: Barcelona, Spain Languages Required: Fluent English and Spanish Company Overview: Join a dynamic and innovative company at the forefront of supply chain solutions. They specialise in optimising warehouse operations using cutting-edge technologies, and we are seeking a talented Solution Architect with expertise in Manhattan Warehouse Management System (WMS) implementations to join a team in Barcelona. Job Summary: The Solution Architect will be responsible for designing and implementing warehouse management solutions using Manhattan WMS. This role requires a deep understanding of warehouse operations, strong technical skills, and the ability to communicate effectively in both English and Spanish. The ideal candidate will have a proven track record of successful Manhattan WMS implementations and a passion for driving efficiency and innovation in supply chain processes. Key Responsibilities: Solution Design: Develop comprehensive warehouse management solutions using Manhattan WMS that meet client requirements and industry best practices. Implementation: Lead the implementation of Manhattan WMS, ensuring seamless integration with existing systems and processes. Project Management: Oversee project timelines, budgets, and deliverables, coordinating with cross-functional teams to ensure successful project completion. Client Engagement: Act as the primary point of contact for clients, providing expert advice and ensuring client satisfaction throughout the project life cycle. Technical Leadership: Provide technical guidance and mentorship to junior team members, fostering a collaborative and innovative work environment. Documentation: Create and maintain detailed documentation for solutions, including design specifications, configuration guides, and user manuals. Continuous Improvement: Stay current with industry trends and advancements in warehouse management technologies, continuously seeking opportunities to improve solutions and services. Qualifications: Experience: Minimum of 5 years of experience in implementing Manhattan WMS solutions. Technical Skills: Strong proficiency in Manhattan WMS and related technologies. Experience with SQL, Scripting, and integration tools is a plus. Languages: Fluent in English and Spanish, both written and spoken. Education: Bachelor's degree in Computer Science, Engineering, Supply Chain Management, or a related field. Project Management: Demonstrated experience in managing large-scale projects, with the ability to handle multiple priorities and deadlines. Communication: Excellent verbal and written communication skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders. Problem-Solving: Strong analytical and problem-solving abilities, with a focus on delivering innovative and effective solutions. Team Player: Ability to work collaboratively in a team environment, with a strong emphasis on fostering positive relationships and teamwork.
17/05/2024
Project-based
Location: Barcelona, Spain Languages Required: Fluent English and Spanish Company Overview: Join a dynamic and innovative company at the forefront of supply chain solutions. They specialise in optimising warehouse operations using cutting-edge technologies, and we are seeking a talented Solution Architect with expertise in Manhattan Warehouse Management System (WMS) implementations to join a team in Barcelona. Job Summary: The Solution Architect will be responsible for designing and implementing warehouse management solutions using Manhattan WMS. This role requires a deep understanding of warehouse operations, strong technical skills, and the ability to communicate effectively in both English and Spanish. The ideal candidate will have a proven track record of successful Manhattan WMS implementations and a passion for driving efficiency and innovation in supply chain processes. Key Responsibilities: Solution Design: Develop comprehensive warehouse management solutions using Manhattan WMS that meet client requirements and industry best practices. Implementation: Lead the implementation of Manhattan WMS, ensuring seamless integration with existing systems and processes. Project Management: Oversee project timelines, budgets, and deliverables, coordinating with cross-functional teams to ensure successful project completion. Client Engagement: Act as the primary point of contact for clients, providing expert advice and ensuring client satisfaction throughout the project life cycle. Technical Leadership: Provide technical guidance and mentorship to junior team members, fostering a collaborative and innovative work environment. Documentation: Create and maintain detailed documentation for solutions, including design specifications, configuration guides, and user manuals. Continuous Improvement: Stay current with industry trends and advancements in warehouse management technologies, continuously seeking opportunities to improve solutions and services. Qualifications: Experience: Minimum of 5 years of experience in implementing Manhattan WMS solutions. Technical Skills: Strong proficiency in Manhattan WMS and related technologies. Experience with SQL, Scripting, and integration tools is a plus. Languages: Fluent in English and Spanish, both written and spoken. Education: Bachelor's degree in Computer Science, Engineering, Supply Chain Management, or a related field. Project Management: Demonstrated experience in managing large-scale projects, with the ability to handle multiple priorities and deadlines. Communication: Excellent verbal and written communication skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders. Problem-Solving: Strong analytical and problem-solving abilities, with a focus on delivering innovative and effective solutions. Team Player: Ability to work collaboratively in a team environment, with a strong emphasis on fostering positive relationships and teamwork.
Role Title: Digital Lab Systems Engineer (Test Engineer) Duration: 12 months Location: Harwell, UK (Hybrid) Rate: £300 per day - Umbrella only Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role summary The Digital Lab System Engineer will support the delivery of software solutions to enable the operation of laboratory equipment in Quality Control for the QC Labs in Harwell UK. This role will be actively involved in the complete life cycle for laboratory digital solutions. Mainly initial qualification and deployment, but also post-production administration, maintenance activities and system retirement. Here's What You'll Do: Coordinate activities related to the delivery of bench-top laboratory systems for QC Labs in Harwell. Work independently to develop and author System requirements, System Configuration Specification, System Administration SOP, execute test scripts following cGxP. Author, review and approve life cycle documents like Impact assessment, Regulatory applicability and criticality assessments, ERES assessments, etc. Provide administrative support to operate systems and instruments including role management, access management and configuration maintenance. Represent Digital Quality in system validation activities in conjunction with IT Infra, Validation and QA related to implementation of new lab systems and instrument systems and their on-going support. Provide second-tier support to troubleshoot operation and interface of enterprise laboratory systems such as Chromeleon, LIMS, Logilab SDMS, MODA, etc. Provide root cause analysis and triage support to resolve technical issues and deviation investigations related to the operations of lab systems. Participate in the periodic reviews of the systems used in the QC Laboratories, support periodic maintenance activities on the digital systems and assist as digital administrator for the systems. Onsite support will be required. Additional duties may be assigned from time to time. Key Skills/requirements Experience with lab systems, lab instruments or lab automation, implementing and maintaining laboratory systems. Experience authoring and reviewing computer system validation life cycle documents. Experience with CFR21 Part11 and Annex 11 regulations. Good understanding of digital network principles (segmentation, VLANs, Firewall rules). Solid experience with Microsoft Windows environments (client and server). Demonstrated ability to work independently and collaboratively in cross-functional teams. Strong proficiency in English. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
17/05/2024
Project-based
Role Title: Digital Lab Systems Engineer (Test Engineer) Duration: 12 months Location: Harwell, UK (Hybrid) Rate: £300 per day - Umbrella only Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role summary The Digital Lab System Engineer will support the delivery of software solutions to enable the operation of laboratory equipment in Quality Control for the QC Labs in Harwell UK. This role will be actively involved in the complete life cycle for laboratory digital solutions. Mainly initial qualification and deployment, but also post-production administration, maintenance activities and system retirement. Here's What You'll Do: Coordinate activities related to the delivery of bench-top laboratory systems for QC Labs in Harwell. Work independently to develop and author System requirements, System Configuration Specification, System Administration SOP, execute test scripts following cGxP. Author, review and approve life cycle documents like Impact assessment, Regulatory applicability and criticality assessments, ERES assessments, etc. Provide administrative support to operate systems and instruments including role management, access management and configuration maintenance. Represent Digital Quality in system validation activities in conjunction with IT Infra, Validation and QA related to implementation of new lab systems and instrument systems and their on-going support. Provide second-tier support to troubleshoot operation and interface of enterprise laboratory systems such as Chromeleon, LIMS, Logilab SDMS, MODA, etc. Provide root cause analysis and triage support to resolve technical issues and deviation investigations related to the operations of lab systems. Participate in the periodic reviews of the systems used in the QC Laboratories, support periodic maintenance activities on the digital systems and assist as digital administrator for the systems. Onsite support will be required. Additional duties may be assigned from time to time. Key Skills/requirements Experience with lab systems, lab instruments or lab automation, implementing and maintaining laboratory systems. Experience authoring and reviewing computer system validation life cycle documents. Experience with CFR21 Part11 and Annex 11 regulations. Good understanding of digital network principles (segmentation, VLANs, Firewall rules). Solid experience with Microsoft Windows environments (client and server). Demonstrated ability to work independently and collaboratively in cross-functional teams. Strong proficiency in English. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Job Title: UK Oracle Cloud Time and Labour Consultant Contract: 6-Month Overview We are seeking an experienced Oracle Cloud Time and Labour Consultant for a 6-month contract to lead the delivery of Oracle Cloud Time and Labour (T&L) implementations in the UK. The ideal candidate will have a proven track record of at least two full-cycle implementations, preferably within the UK public sector. Experience in UK Compensation is also preferred. This role demands a proactive, hands-on professional who can deliver high-quality solutions within a limited timeframe . Key Responsibilities Lead Implementations: Manage and execute the end-to-end delivery of Oracle Cloud Time and Labour modules, ensuring successful and timely implementation. Client Collaboration: Engage with clients to understand their business processes and requirements, particularly within the UK public sector, and provide expert guidance. Solution Design and Configuration: Design, configure, and customize Oracle Cloud T&L solutions to meet client-specific needs. Integration: Ensure seamless integration of Oracle Cloud T&L with other Oracle Cloud modules and third-party systems. Troubleshooting: Identify, analyze, and resolve any issues that arise during the implementation process to ensure optimal system performance. Training and Documentation: Provide comprehensive training to end-users and develop detailed documentation to support system usage and maintenance. Continuous Improvement: Stay informed about the latest Oracle Cloud releases and updates, incorporating new features and best practices into implementations. Qualifications Experience: Minimum of 3-5 years of experience with Oracle Cloud Time and Labour, with at least two successful full-cycle implementations, preferably in the UK public sector. Experience in UK Compensation is a strong advantage. Technical Proficiency: Deep understanding of Oracle Cloud HCM suite, specifically Time and Labour functionalities. Knowledge of SQL, PL/SQL, and Oracle Cloud reporting tools is beneficial. Project Management: Demonstrated ability to lead projects, manage timelines, and deliver within a set timeframe. Analytical Skills: Strong problem-solving skills with the ability to troubleshoot and resolve complex issues. Communication Skills: Excellent verbal and written communication skills, capable of conveying complex information clearly to diverse stakeholders. Certifications: Oracle Cloud certifications in Time and Labour or HCM are highly desirable. Personal Attributes Client-focused: Dedicated to understanding and fulfilling client needs and expectations. Proactive: Takes initiative and ownership to drive projects forward and resolve issues independently. Collaborative: Works effectively with cross-functional teams and fosters a positive, productive work environment. Adaptable: Flexible in adapting to changing business requirements and learning new technologies. Contract Details Duration: 6 months Location: UK (with potential for remote work depending on client requirements) Compensation: Competitive daily rate, commensurate with experience and qualifications Application Process Join our team for a challenging and rewarding opportunity to deliver impactful Oracle Cloud solutions within the UK public sector! This job description outlines the essential duties and qualifications for the Oracle Cloud Time and Labour Consultant role. It is intended to serve as a guideline and may be subject to adjustments based on the company's evolving needs.
17/05/2024
Project-based
Job Title: UK Oracle Cloud Time and Labour Consultant Contract: 6-Month Overview We are seeking an experienced Oracle Cloud Time and Labour Consultant for a 6-month contract to lead the delivery of Oracle Cloud Time and Labour (T&L) implementations in the UK. The ideal candidate will have a proven track record of at least two full-cycle implementations, preferably within the UK public sector. Experience in UK Compensation is also preferred. This role demands a proactive, hands-on professional who can deliver high-quality solutions within a limited timeframe . Key Responsibilities Lead Implementations: Manage and execute the end-to-end delivery of Oracle Cloud Time and Labour modules, ensuring successful and timely implementation. Client Collaboration: Engage with clients to understand their business processes and requirements, particularly within the UK public sector, and provide expert guidance. Solution Design and Configuration: Design, configure, and customize Oracle Cloud T&L solutions to meet client-specific needs. Integration: Ensure seamless integration of Oracle Cloud T&L with other Oracle Cloud modules and third-party systems. Troubleshooting: Identify, analyze, and resolve any issues that arise during the implementation process to ensure optimal system performance. Training and Documentation: Provide comprehensive training to end-users and develop detailed documentation to support system usage and maintenance. Continuous Improvement: Stay informed about the latest Oracle Cloud releases and updates, incorporating new features and best practices into implementations. Qualifications Experience: Minimum of 3-5 years of experience with Oracle Cloud Time and Labour, with at least two successful full-cycle implementations, preferably in the UK public sector. Experience in UK Compensation is a strong advantage. Technical Proficiency: Deep understanding of Oracle Cloud HCM suite, specifically Time and Labour functionalities. Knowledge of SQL, PL/SQL, and Oracle Cloud reporting tools is beneficial. Project Management: Demonstrated ability to lead projects, manage timelines, and deliver within a set timeframe. Analytical Skills: Strong problem-solving skills with the ability to troubleshoot and resolve complex issues. Communication Skills: Excellent verbal and written communication skills, capable of conveying complex information clearly to diverse stakeholders. Certifications: Oracle Cloud certifications in Time and Labour or HCM are highly desirable. Personal Attributes Client-focused: Dedicated to understanding and fulfilling client needs and expectations. Proactive: Takes initiative and ownership to drive projects forward and resolve issues independently. Collaborative: Works effectively with cross-functional teams and fosters a positive, productive work environment. Adaptable: Flexible in adapting to changing business requirements and learning new technologies. Contract Details Duration: 6 months Location: UK (with potential for remote work depending on client requirements) Compensation: Competitive daily rate, commensurate with experience and qualifications Application Process Join our team for a challenging and rewarding opportunity to deliver impactful Oracle Cloud solutions within the UK public sector! This job description outlines the essential duties and qualifications for the Oracle Cloud Time and Labour Consultant role. It is intended to serve as a guideline and may be subject to adjustments based on the company's evolving needs.
Position: Senior Audiovisual (AV) Systems Analyst Role Overview: The Senior AV Systems Analyst is a pivotal member of the Information Technology Services team, dedicated to the seamless operation and progressive enhancement of the organisation's audiovisual infrastructure. This role is instrumental in fostering an advanced educational environment through the maintenance and innovation of AV systems utilised in various university settings, including classrooms, lecture halls, conference rooms, and communal study areas. Key Responsibilities: Technical Leadership: Serve as the lead technical authority for AV systems, guiding the resolution of complex AV-related incidents and managing service requests with efficiency and expertise. Strategic Development: Collaborate with the AV Team Leader to strategise and implement advancements in AV services, ensuring alignment with the university's vision for cutting-edge learning and meeting spaces. Stakeholder Engagement: Maintain robust communication channels with internal teams and end-users, delivering clear, timely, and precise information to facilitate optimal AV usage. System Management: Oversee the monitoring, support, and maintenance of AV systems, guaranteeing high-performance standards and minimal downtime. Project Coordination: Participate in the deployment of innovative AV technologies, such as AV over IP solutions, interactive displays, and remote management tools, contributing to the university's multimillion-pound investment in AV excellence. Essential Qualifications: A bachelor's degree in a relevant field or equivalent professional experience demonstrating comprehensive AV technical proficiency. A proven track record in AV systems analysis, with substantial hands-on experience in managing and optimising a diverse range of AV equipment. Desired Skills: In-depth knowledge of current and emerging AV technologies. Strong problem-solving abilities and a customer-focused approach. Excellent organisational skills and attention to detail. The ability to work collaboratively within cross-functional teams. What We Offer: A dynamic and supportive work environment committed to innovation and excellence. Opportunities for professional development and growth within a leading educational institution. Access to state-of-the-art facilities and resources. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
17/05/2024
Full time
Position: Senior Audiovisual (AV) Systems Analyst Role Overview: The Senior AV Systems Analyst is a pivotal member of the Information Technology Services team, dedicated to the seamless operation and progressive enhancement of the organisation's audiovisual infrastructure. This role is instrumental in fostering an advanced educational environment through the maintenance and innovation of AV systems utilised in various university settings, including classrooms, lecture halls, conference rooms, and communal study areas. Key Responsibilities: Technical Leadership: Serve as the lead technical authority for AV systems, guiding the resolution of complex AV-related incidents and managing service requests with efficiency and expertise. Strategic Development: Collaborate with the AV Team Leader to strategise and implement advancements in AV services, ensuring alignment with the university's vision for cutting-edge learning and meeting spaces. Stakeholder Engagement: Maintain robust communication channels with internal teams and end-users, delivering clear, timely, and precise information to facilitate optimal AV usage. System Management: Oversee the monitoring, support, and maintenance of AV systems, guaranteeing high-performance standards and minimal downtime. Project Coordination: Participate in the deployment of innovative AV technologies, such as AV over IP solutions, interactive displays, and remote management tools, contributing to the university's multimillion-pound investment in AV excellence. Essential Qualifications: A bachelor's degree in a relevant field or equivalent professional experience demonstrating comprehensive AV technical proficiency. A proven track record in AV systems analysis, with substantial hands-on experience in managing and optimising a diverse range of AV equipment. Desired Skills: In-depth knowledge of current and emerging AV technologies. Strong problem-solving abilities and a customer-focused approach. Excellent organisational skills and attention to detail. The ability to work collaboratively within cross-functional teams. What We Offer: A dynamic and supportive work environment committed to innovation and excellence. Opportunities for professional development and growth within a leading educational institution. Access to state-of-the-art facilities and resources. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Global Enterprise Partners
Amsterdam, Noord-Holland
Software Architect - Amsterdam - 6months + Global Enterprise Partners is currently looking for a Software Architect for an initial contract of 6 months with our client. The project will be hybrid, Amsterdam. Software Architect requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in software development, with at least 5 years in a software architecture role. Proficiency in .NET, C#, Azure, Azure Service Bus, Azure Functions Bonus: React, NextJS, Vercel, GraphQL, GitHub, Azure DevOps Strong understanding of microservices architecture, Azure Service Bus, REST APIs, and domain-driven design. Demonstrated experience in designing and implementing scalable, high-performance systems. Experience leading Agile development teams and working with cross-functional stakeholders. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Strong knowledge of integrating SaaS solutions and managing a complex digital ecosystem. Passion for technology and staying up to date with fashion retail industry trends. Start date: Asap Duration: 6months + Rate: Depending on experience Location: Amsterdam, onsite If you are interested in this role please get in touch with Rosalie Tomesen with an updated CV.
17/05/2024
Project-based
Software Architect - Amsterdam - 6months + Global Enterprise Partners is currently looking for a Software Architect for an initial contract of 6 months with our client. The project will be hybrid, Amsterdam. Software Architect requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in software development, with at least 5 years in a software architecture role. Proficiency in .NET, C#, Azure, Azure Service Bus, Azure Functions Bonus: React, NextJS, Vercel, GraphQL, GitHub, Azure DevOps Strong understanding of microservices architecture, Azure Service Bus, REST APIs, and domain-driven design. Demonstrated experience in designing and implementing scalable, high-performance systems. Experience leading Agile development teams and working with cross-functional stakeholders. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Strong knowledge of integrating SaaS solutions and managing a complex digital ecosystem. Passion for technology and staying up to date with fashion retail industry trends. Start date: Asap Duration: 6months + Rate: Depending on experience Location: Amsterdam, onsite If you are interested in this role please get in touch with Rosalie Tomesen with an updated CV.
SAP PP Module Leader Up to £50,000 + Benefits Remote We are looking for an SAP PP Leader whose main responsibilities will be to deliver enhancements and projects, guiding users to optimal solutions across multiple SAP Clients. Also, to configure software and write functional specifications for system improvements. You will also provide quality support of SAP PP systems to internal customer globally in line with the SLA targets. You will Assist It managers and business teams in the creating of SAP projects proposals detailing time/resource/risks involved. You will inform and train other team members and end users on changes to the system, including the creation of high-quality internal help documentation. Skills: 5+ SAP PP experience (support and projects). Extensive practical configuration experience (implementing planning, demand, capacity management and manufacturing processes within SAP ERP). Expert SAP PP technical knowledge with experience of interfaces to MES. Experience in translating business requests into clear functional requirements and ability to communicate complex IT concepts requests into clear functional requirements and ability to communicate complex IT concepts into understandable business language. Leadership skills to guide the business to optimal solutions.
17/05/2024
Full time
SAP PP Module Leader Up to £50,000 + Benefits Remote We are looking for an SAP PP Leader whose main responsibilities will be to deliver enhancements and projects, guiding users to optimal solutions across multiple SAP Clients. Also, to configure software and write functional specifications for system improvements. You will also provide quality support of SAP PP systems to internal customer globally in line with the SLA targets. You will Assist It managers and business teams in the creating of SAP projects proposals detailing time/resource/risks involved. You will inform and train other team members and end users on changes to the system, including the creation of high-quality internal help documentation. Skills: 5+ SAP PP experience (support and projects). Extensive practical configuration experience (implementing planning, demand, capacity management and manufacturing processes within SAP ERP). Expert SAP PP technical knowledge with experience of interfaces to MES. Experience in translating business requests into clear functional requirements and ability to communicate complex IT concepts requests into clear functional requirements and ability to communicate complex IT concepts into understandable business language. Leadership skills to guide the business to optimal solutions.
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.
Senior Electronics Engineer Lynx is representing a rapidly growing company in Bristol, seeking an innovative Senior Electronics Engineer to join a team developing next-generation detection and sensing systems. You will play a leading role evolving cutting-edge products from concept through production. You Will: Drive analog and mixed-signal circuit design, analysis, prototyping and testing Define and execute technology roadmaps, research, system architecture Lead projects and cross-functional engineering teams Collaborate with software, production and field teams Mentor and develop junior engineers Author documentation, interface with customers We Require: Degree in electronics engineering or equivalent 8+ years hands-on hardware development experience Specialization in analog IC design, instrumentation, test philosophy Leadership: strategising, directing projects, motivating teams Programming: Python, MATLAB preferred Creative problem-solving, fast learner, passion for innovation We Offer: Competitive salary up to £70k Hybrid remote/office work environment Flexible hours, parental leave, sabbatical options Chance to pioneer future of detection technologies Learning/development budget New, modern and accessible facilities Relocation assistance available If you want to create breakthrough engineered products that push boundaries, we would love to hear from you. Apply today!
17/05/2024
Full time
Senior Electronics Engineer Lynx is representing a rapidly growing company in Bristol, seeking an innovative Senior Electronics Engineer to join a team developing next-generation detection and sensing systems. You will play a leading role evolving cutting-edge products from concept through production. You Will: Drive analog and mixed-signal circuit design, analysis, prototyping and testing Define and execute technology roadmaps, research, system architecture Lead projects and cross-functional engineering teams Collaborate with software, production and field teams Mentor and develop junior engineers Author documentation, interface with customers We Require: Degree in electronics engineering or equivalent 8+ years hands-on hardware development experience Specialization in analog IC design, instrumentation, test philosophy Leadership: strategising, directing projects, motivating teams Programming: Python, MATLAB preferred Creative problem-solving, fast learner, passion for innovation We Offer: Competitive salary up to £70k Hybrid remote/office work environment Flexible hours, parental leave, sabbatical options Chance to pioneer future of detection technologies Learning/development budget New, modern and accessible facilities Relocation assistance available If you want to create breakthrough engineered products that push boundaries, we would love to hear from you. Apply today!
*We are unable to sponsor for this contract role* Prestigious Enterprise Company is currently seeking a Data Quality Test Engineer with SQL testing experience. Candidate will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. This is a hands-on testing position which requires deep knowledge and understanding of all aspects of developing and executing Back End testing. The Test Engineer must be an advocate for all things Testing and Quality Assurance while driving and implementing best practices. The ideal candidate must possess strong analytical and critical thinking abilities. Data testing skills are required. Responsibilities: Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of a built or process, in order to facilitate requirements refinements. Identify issues in data, application configurations and screen designs, report and oversee issue resolution. Become an expert in business rules, system functionality and architecture. Plan and execute Manual, Functional, and Regression test suite. Independently develop, modify, and execute test plans based on requirements and design documents. Contribute to and maintain project documentation. Provide concise and consistent status reporting. Identify, report and track defects and User Experience issues through a system of record. Collaborate with external teams on root cause analysis. Maintain close interaction with business and technical peers during the project life cycle. Ensuring proper traceability from requirements to test artifacts. Actively participate in requirements and code reviews. Actively participate and drive improvements in Agile Scrum delivery. Be a thought leader in the test design and execution arena (manual and automated). Identify process bottlenecks and suggest improvement actions. Stay abreast of emerging technologies and testing approaches. Creation and input of test data, either manually or by using tools, programs, or masked production data to execute test cases. Qualifications Bachelor's degree in Computer Science or related area. Hands-on experience using SQL queries for results validation and data mining. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. At least 3-5 years of professional experience on a variety of projects in Test Strategy, Test Design, Test Execution analysis & reporting. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Understanding of Development and Test cycles, including respective best practices. Hands-on experience in Agile and Waterfall methodologies. Ability to troubleshoot issues, identifying root causes and support development team in development of resolutions. Strong communication and Client/Business interfacing and interpersonal skills are a must.
16/05/2024
Project-based
*We are unable to sponsor for this contract role* Prestigious Enterprise Company is currently seeking a Data Quality Test Engineer with SQL testing experience. Candidate will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. This is a hands-on testing position which requires deep knowledge and understanding of all aspects of developing and executing Back End testing. The Test Engineer must be an advocate for all things Testing and Quality Assurance while driving and implementing best practices. The ideal candidate must possess strong analytical and critical thinking abilities. Data testing skills are required. Responsibilities: Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of a built or process, in order to facilitate requirements refinements. Identify issues in data, application configurations and screen designs, report and oversee issue resolution. Become an expert in business rules, system functionality and architecture. Plan and execute Manual, Functional, and Regression test suite. Independently develop, modify, and execute test plans based on requirements and design documents. Contribute to and maintain project documentation. Provide concise and consistent status reporting. Identify, report and track defects and User Experience issues through a system of record. Collaborate with external teams on root cause analysis. Maintain close interaction with business and technical peers during the project life cycle. Ensuring proper traceability from requirements to test artifacts. Actively participate in requirements and code reviews. Actively participate and drive improvements in Agile Scrum delivery. Be a thought leader in the test design and execution arena (manual and automated). Identify process bottlenecks and suggest improvement actions. Stay abreast of emerging technologies and testing approaches. Creation and input of test data, either manually or by using tools, programs, or masked production data to execute test cases. Qualifications Bachelor's degree in Computer Science or related area. Hands-on experience using SQL queries for results validation and data mining. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. At least 3-5 years of professional experience on a variety of projects in Test Strategy, Test Design, Test Execution analysis & reporting. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Understanding of Development and Test cycles, including respective best practices. Hands-on experience in Agile and Waterfall methodologies. Ability to troubleshoot issues, identifying root causes and support development team in development of resolutions. Strong communication and Client/Business interfacing and interpersonal skills are a must.
NO SPONSORSHIP Principal, Product Manager - Financial Risk Management and Systems SALARY: $190k plus 15% bonus LOCATION: CHICAGO, IL Hybrid 3 days onsite Looking for a candidate with experience as a product manager/owner agile product manager experience financial services general security markets derivatives knowledge multiple asset classes like equities interest rates volatility commodities foreign currencies risk pillar specify control counter party clearing statements of derivatives financial risk management and regulated capital markets infrastructure Jira confluence tableau MS Applications 10 years of financial risk management Summary: The Product Owner at the will be responsible for maximizing the value of the Products delivered to our stakeholders by representing business interests, working with our technology teams to determine requirements, creating a product roadmap for development, and prioritizing the work. The Product Owner will work in a hybrid agile methodology collaborating with cross-functional teams. The Product Owner must ensure that the technology teams understand and are aligned with the Product vision and that leadership is kept aware of Product progress and status. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Stakeholder Engagement and Management o Act as the primary point of contact for stakeholders regarding the product backlog and product development o Interact with internal and external stakeholders such as regulators, exchanges and other external parties in explaining OCC's Products o Elicit, interpret, lead requirement workshop discussions with vendors, stakeholders and/or product owners; assist in the development of backlog items and acceptance criteria o Work with internal and external stakeholders to understand their needs and ensure that they are reflected in the product backlog o Maintain direct communications with senior and middle management o Coordinate preparation of materials for Management Committee, Board of Directors and Regulatory meetings as needed o Maintain Product Vision and Roadmap o Understand regulatory requirements and drivers impacting development goals and plans o Evaluate product changes and recommend needed process and system changes o Develop functional capabilities within the organization by driving innovation and continuous process improvements o Collaborate with cross-functional teams to define and prioritize the product backlog o Refine the product backlog to ensure that it is ready for development o Maintain product budget and forecast. Seek to optimize product delivery in the most cost effective manner. o Collaborate with technology partners and teams to drive strategic plans for the system development, integration and deployment o Work with the Project Owners/Managers, Technology Lead, and Scrum Master to ensure that the team is following the hybrid agile methodology and that any issues are addressed in a timely manner o Document and/or sign-off on acceptance criteria for user stories o Ensure that the product backlog is transparent, visible, and understood by all stakeholders o Ensure there is a clear traceability of requirements to deliverables o Ensure the product complies with all non-functional requirements o Comply with all product delivery controls and procedures Product Leadership Product Delivery Product Integrity Quality Management Team Leadership Qualifications: Previous experience as a Product Manager/Owner in a hybrid agile methodology is required Strong understanding of Agile product management methodologies and product development processes Excellent communication, collaboration, and presentation skills Strong interpersonal and influencing skills, including ability to interact effectively with peers, all levels of management, regulators and member firms Ability to work effectively with and lead cross-functional teams Strong analytical and problem-solving skills Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports Ability to prioritize and manage multiple tasks and projects simultaneously Ability to work independently in a fast-paced, dynamic environment Must be able to work under deadlines and manage multiple tasks Self-directed; Ability to work both independently with minimal direction or oversight in a team-oriented, collaborative environment Experience working in the financial services industry General securities markets, derivatives knowledge required Strong knowledge in multiple asset classes like equities, interest rates, volatility, commodities, and foreign currencies (Risk Pillar Specific) Experience with central counter-party clearing, settlement of derivatives, financial risk management and regulated capital markets infrastructure Willingness to roll up your sleeves and do whatever is necessary Technical Skills: Proficiency using Jira, Confluence, Tableau and Microsoft Office applications Education and/or Experience: Bachelor's degree MBA, MS or equivalent graduate degree in a relevant field preferred 10+ years of financial risk management experience leading teams and building robust business processes is required 2+ years of product management experience, preferably with Risk Management products and capabilities Demonstrated experience with ensuring effective process change management 10+ years of experience in financial services/regulated capital markets infrastructure. Experience with an exchange, regulator or clearing house preferred
16/05/2024
Full time
NO SPONSORSHIP Principal, Product Manager - Financial Risk Management and Systems SALARY: $190k plus 15% bonus LOCATION: CHICAGO, IL Hybrid 3 days onsite Looking for a candidate with experience as a product manager/owner agile product manager experience financial services general security markets derivatives knowledge multiple asset classes like equities interest rates volatility commodities foreign currencies risk pillar specify control counter party clearing statements of derivatives financial risk management and regulated capital markets infrastructure Jira confluence tableau MS Applications 10 years of financial risk management Summary: The Product Owner at the will be responsible for maximizing the value of the Products delivered to our stakeholders by representing business interests, working with our technology teams to determine requirements, creating a product roadmap for development, and prioritizing the work. The Product Owner will work in a hybrid agile methodology collaborating with cross-functional teams. The Product Owner must ensure that the technology teams understand and are aligned with the Product vision and that leadership is kept aware of Product progress and status. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Stakeholder Engagement and Management o Act as the primary point of contact for stakeholders regarding the product backlog and product development o Interact with internal and external stakeholders such as regulators, exchanges and other external parties in explaining OCC's Products o Elicit, interpret, lead requirement workshop discussions with vendors, stakeholders and/or product owners; assist in the development of backlog items and acceptance criteria o Work with internal and external stakeholders to understand their needs and ensure that they are reflected in the product backlog o Maintain direct communications with senior and middle management o Coordinate preparation of materials for Management Committee, Board of Directors and Regulatory meetings as needed o Maintain Product Vision and Roadmap o Understand regulatory requirements and drivers impacting development goals and plans o Evaluate product changes and recommend needed process and system changes o Develop functional capabilities within the organization by driving innovation and continuous process improvements o Collaborate with cross-functional teams to define and prioritize the product backlog o Refine the product backlog to ensure that it is ready for development o Maintain product budget and forecast. Seek to optimize product delivery in the most cost effective manner. o Collaborate with technology partners and teams to drive strategic plans for the system development, integration and deployment o Work with the Project Owners/Managers, Technology Lead, and Scrum Master to ensure that the team is following the hybrid agile methodology and that any issues are addressed in a timely manner o Document and/or sign-off on acceptance criteria for user stories o Ensure that the product backlog is transparent, visible, and understood by all stakeholders o Ensure there is a clear traceability of requirements to deliverables o Ensure the product complies with all non-functional requirements o Comply with all product delivery controls and procedures Product Leadership Product Delivery Product Integrity Quality Management Team Leadership Qualifications: Previous experience as a Product Manager/Owner in a hybrid agile methodology is required Strong understanding of Agile product management methodologies and product development processes Excellent communication, collaboration, and presentation skills Strong interpersonal and influencing skills, including ability to interact effectively with peers, all levels of management, regulators and member firms Ability to work effectively with and lead cross-functional teams Strong analytical and problem-solving skills Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports Ability to prioritize and manage multiple tasks and projects simultaneously Ability to work independently in a fast-paced, dynamic environment Must be able to work under deadlines and manage multiple tasks Self-directed; Ability to work both independently with minimal direction or oversight in a team-oriented, collaborative environment Experience working in the financial services industry General securities markets, derivatives knowledge required Strong knowledge in multiple asset classes like equities, interest rates, volatility, commodities, and foreign currencies (Risk Pillar Specific) Experience with central counter-party clearing, settlement of derivatives, financial risk management and regulated capital markets infrastructure Willingness to roll up your sleeves and do whatever is necessary Technical Skills: Proficiency using Jira, Confluence, Tableau and Microsoft Office applications Education and/or Experience: Bachelor's degree MBA, MS or equivalent graduate degree in a relevant field preferred 10+ years of financial risk management experience leading teams and building robust business processes is required 2+ years of product management experience, preferably with Risk Management products and capabilities Demonstrated experience with ensuring effective process change management 10+ years of experience in financial services/regulated capital markets infrastructure. Experience with an exchange, regulator or clearing house preferred
*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
*We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Oracle Applications DBA Tech Lead/Manager. This is a hands-on tech lead/manager. They will focus on all Oracle ERP applications and will focus heavily on Oracle EBS (11i/R12). This company is looking for someone with heavy Oracle Fusion Cloud experience. Responsibilities: You will support the following levels: Physical - you will be responsible for the physical and technical oriented aspects eg, storage, security, networking and more; Application - you will handle all application-related issues (eg, queries, users, Embedded SQL's etc.) You will ensure database resources are sized properly and a design strategy is developed to make sure that the database is maintained at a healthy size. You will ensure availability and performance of multi database and application environments with very large volumes and sizes. Responsible to manage Oracle Cloud OCI platform and maintain the ongoing integrations and configurations to keep the Cloud platform in a healthy condition. You will manage or perform routine DBA tasks like database maintenance, backups, recovery, table space management, upgrades, etc. You will execute periodic health checks for databases and recommend changes that should be executed in the production environment to ensure optimal performance. You will interact and work with multiple infrastructure, Security and IT teams as part of environment setup, maintenance and support. This is an important function of this role. Plans and responds to service outages including backup and restore. Monitors system performance diagnosing software and hardware failures to resolution Provides patch management and distribution capabilities to prevent new threats with minimized physical infrastructure impacts. Creates and tests data backups. Provides data cleansing services, verifies data integrity, and implements access controls. Performs database configuration, monitoring, and tuning. Routine maintenance including problem defect analysis and resolution, space, storage, object management, physical database layout, rollback segment management, and temporary space management. Supports logs and alerts, access rights and roles, database instance version control. New IDs, roles, authorizations, audits, locked/unlocked status, revocation. Performs memory usage monitoring, database parameter configuration, database resources, I/O distribution. Ensures system health, maintenance, technical security, recovery, and basic application technical tuning. Maintains Oracle Quarterly Releases and patch management schedules. Supports Systems Development, Migration, and Integration efforts as needed. Significant contributor to work plans for security analysis and recommendations Qualifications: Bachelor's Degree Computer Science or similar required 10+ years Oracle EBS (11i/R12) Minimum five (5) years in ERP Cloud platform 20+ years of experience as Oracle ERP APPS DBA Must have executed a minimum of two Upgrade cycles in the past. Will be responsible for Cutover Downtime reduction thru process improvements in each Upgrade iteration, Must have experience in EBS Application architecture, Concurrent managers, Workflow, layout of application on infrastructure, etc. Must have excellent knowledge in cloning, patching, backup recovery of ERP application including knowledge of ODI, FAW/ADW, Performance tuning, SQL profiling Must have hands on experience of RMAN, Backup Management and different Recovery techniques. Design and Implement disaster recovery plans. Support Oracle Cloud and EBS developers for custom coding, code migration, workflow and concurrent requests Knowledge of system administration functionality within Oracle Cloud ERP, Unix Shell Scripting skills on Oracle ODA's and OVM's Ability to manage and supervise DBA staff in the team. Responsible for providing day-to-day status and maintenance for Oracle EBS and ERP Cloud. Work with multiple application teams and developers.
16/05/2024
Full time
*We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Oracle Applications DBA Tech Lead/Manager. This is a hands-on tech lead/manager. They will focus on all Oracle ERP applications and will focus heavily on Oracle EBS (11i/R12). This company is looking for someone with heavy Oracle Fusion Cloud experience. Responsibilities: You will support the following levels: Physical - you will be responsible for the physical and technical oriented aspects eg, storage, security, networking and more; Application - you will handle all application-related issues (eg, queries, users, Embedded SQL's etc.) You will ensure database resources are sized properly and a design strategy is developed to make sure that the database is maintained at a healthy size. You will ensure availability and performance of multi database and application environments with very large volumes and sizes. Responsible to manage Oracle Cloud OCI platform and maintain the ongoing integrations and configurations to keep the Cloud platform in a healthy condition. You will manage or perform routine DBA tasks like database maintenance, backups, recovery, table space management, upgrades, etc. You will execute periodic health checks for databases and recommend changes that should be executed in the production environment to ensure optimal performance. You will interact and work with multiple infrastructure, Security and IT teams as part of environment setup, maintenance and support. This is an important function of this role. Plans and responds to service outages including backup and restore. Monitors system performance diagnosing software and hardware failures to resolution Provides patch management and distribution capabilities to prevent new threats with minimized physical infrastructure impacts. Creates and tests data backups. Provides data cleansing services, verifies data integrity, and implements access controls. Performs database configuration, monitoring, and tuning. Routine maintenance including problem defect analysis and resolution, space, storage, object management, physical database layout, rollback segment management, and temporary space management. Supports logs and alerts, access rights and roles, database instance version control. New IDs, roles, authorizations, audits, locked/unlocked status, revocation. Performs memory usage monitoring, database parameter configuration, database resources, I/O distribution. Ensures system health, maintenance, technical security, recovery, and basic application technical tuning. Maintains Oracle Quarterly Releases and patch management schedules. Supports Systems Development, Migration, and Integration efforts as needed. Significant contributor to work plans for security analysis and recommendations Qualifications: Bachelor's Degree Computer Science or similar required 10+ years Oracle EBS (11i/R12) Minimum five (5) years in ERP Cloud platform 20+ years of experience as Oracle ERP APPS DBA Must have executed a minimum of two Upgrade cycles in the past. Will be responsible for Cutover Downtime reduction thru process improvements in each Upgrade iteration, Must have experience in EBS Application architecture, Concurrent managers, Workflow, layout of application on infrastructure, etc. Must have excellent knowledge in cloning, patching, backup recovery of ERP application including knowledge of ODI, FAW/ADW, Performance tuning, SQL profiling Must have hands on experience of RMAN, Backup Management and different Recovery techniques. Design and Implement disaster recovery plans. Support Oracle Cloud and EBS developers for custom coding, code migration, workflow and concurrent requests Knowledge of system administration functionality within Oracle Cloud ERP, Unix Shell Scripting skills on Oracle ODA's and OVM's Ability to manage and supervise DBA staff in the team. Responsible for providing day-to-day status and maintenance for Oracle EBS and ERP Cloud. Work with multiple application teams and developers.
*We are unable to sponsor for this role* *At the minimum year-long contract* A prestigious company is on the search for a Data Quality Test Engineer. The Test Engineer will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. Responsibilities Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of a built or process, in order to facilitate requirements refinements. Identify issues in data, application configurations and screen designs, report and oversee issue resolution. Plan and execute Manual, Functional, and Regression test suite. Independently develop, modify, and execute test plans based on requirements and design documents. Identify, report and track defects and User Experience issues through a system of record. Collaborate with external teams on root cause analysis. Ensuring proper traceability from requirements to test artifacts. Actively participate in requirements and code reviews. Actively participate and drive improvements in Agile Scrum delivery. Be a thought leader in the test design and execution arena (manual and automated). Creation and input of test data, either manually or by using tools, programs, or masked production data to execute test cases. Qualifications: Bachelor's degree in Computer Science or related area. At least 3-5 years of testing experience in data or ETL projects. Strong experience with writing queries in relational databases like Oracle and SQL server. Familiar with SQL server queries including calling stored procedures by passing parameters, functions, views, and indexes to be used during ETL process. Possess extensive and in-depth knowledge of developing SQL scripts using SQL functions, grouping operations, sub queries, analytical function and joins to test ETL projects. ETL testing using SQL server Integration Services (SSIS) and SSRS. Experience in testing database applications to validate source to destination data movement and transformation. Knowledge of automated data testing is preferred. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Hands-on experience in Agile and Waterfall methodologies.
16/05/2024
Project-based
*We are unable to sponsor for this role* *At the minimum year-long contract* A prestigious company is on the search for a Data Quality Test Engineer. The Test Engineer will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. Responsibilities Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of a built or process, in order to facilitate requirements refinements. Identify issues in data, application configurations and screen designs, report and oversee issue resolution. Plan and execute Manual, Functional, and Regression test suite. Independently develop, modify, and execute test plans based on requirements and design documents. Identify, report and track defects and User Experience issues through a system of record. Collaborate with external teams on root cause analysis. Ensuring proper traceability from requirements to test artifacts. Actively participate in requirements and code reviews. Actively participate and drive improvements in Agile Scrum delivery. Be a thought leader in the test design and execution arena (manual and automated). Creation and input of test data, either manually or by using tools, programs, or masked production data to execute test cases. Qualifications: Bachelor's degree in Computer Science or related area. At least 3-5 years of testing experience in data or ETL projects. Strong experience with writing queries in relational databases like Oracle and SQL server. Familiar with SQL server queries including calling stored procedures by passing parameters, functions, views, and indexes to be used during ETL process. Possess extensive and in-depth knowledge of developing SQL scripts using SQL functions, grouping operations, sub queries, analytical function and joins to test ETL projects. ETL testing using SQL server Integration Services (SSIS) and SSRS. Experience in testing database applications to validate source to destination data movement and transformation. Knowledge of automated data testing is preferred. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Hands-on experience in Agile and Waterfall methodologies.