*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.
10/05/2024
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.
10/05/2024
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
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.
10/05/2024
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.
10/05/2024
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.
10/05/2024
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.
10/05/2024
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.
Head of Automation AI experience or knowledge required Fully remote Up to £85k + bonus We are working with a successful Test Consultancy who work with multiple high profile and SME accounts. They are a very forward thinking business, always striving to introduce the best and latest technologies for their clients. Candidates must have experience in, or a very good understanding of, the benefits of Artificial Intelligence within test. This is a hands on testing role which will utilise your experience in automation, driving continuous improvements and leading a team of QA Engineers and Developers. Skills and experience will include: Point of escalation for Automation Services and QA Engineers and Development resource Owner of the Automation product set, planning and managing enhancements with the team Strategic thinking and problem-solving skills, with the ability to translate business requirements into actionable automation (and possibly AI strategies) Focus on continuous QA improvements including usage of appropriate testing tools, test techniques, test automation including future technology opportunities (AI would be particularly interesting) Keep QA best practice standards up to date, along with supporting documentation for service support, onboarding, and maintenance Accountable for the test automation projects, mentor, and provide leadership to the QA automation developers and Leads Tech experience including: Designed and built automation frameworks on a range of technology and toolsets covering Unit, API, UI level automation, including but not limited to - Selenium, Specflow, Serenity BDD/Specflow, Appium, Cypress, Playwright, Postman, Rest Assured, Jmeter, BrowserStack, Saucelabs (or similar). Experience of coding with Java and .NET environments Experience of codeless automation tools, and ERP tool extensions (eg ATF in ServiceNow) Knowledge of automation solutions for non-functional phases of testing such as Accessibility, Performance, and Security. Providing automation solutions within a CI/CD environment Implementing automation across Cloud based pipelines and implementations such as Azure and AWS. Ideally, an understanding of the potential of AI within the QA landscape This is a fully remote role with occasional visits to Head Office. People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
10/05/2024
Full time
Head of Automation AI experience or knowledge required Fully remote Up to £85k + bonus We are working with a successful Test Consultancy who work with multiple high profile and SME accounts. They are a very forward thinking business, always striving to introduce the best and latest technologies for their clients. Candidates must have experience in, or a very good understanding of, the benefits of Artificial Intelligence within test. This is a hands on testing role which will utilise your experience in automation, driving continuous improvements and leading a team of QA Engineers and Developers. Skills and experience will include: Point of escalation for Automation Services and QA Engineers and Development resource Owner of the Automation product set, planning and managing enhancements with the team Strategic thinking and problem-solving skills, with the ability to translate business requirements into actionable automation (and possibly AI strategies) Focus on continuous QA improvements including usage of appropriate testing tools, test techniques, test automation including future technology opportunities (AI would be particularly interesting) Keep QA best practice standards up to date, along with supporting documentation for service support, onboarding, and maintenance Accountable for the test automation projects, mentor, and provide leadership to the QA automation developers and Leads Tech experience including: Designed and built automation frameworks on a range of technology and toolsets covering Unit, API, UI level automation, including but not limited to - Selenium, Specflow, Serenity BDD/Specflow, Appium, Cypress, Playwright, Postman, Rest Assured, Jmeter, BrowserStack, Saucelabs (or similar). Experience of coding with Java and .NET environments Experience of codeless automation tools, and ERP tool extensions (eg ATF in ServiceNow) Knowledge of automation solutions for non-functional phases of testing such as Accessibility, Performance, and Security. Providing automation solutions within a CI/CD environment Implementing automation across Cloud based pipelines and implementations such as Azure and AWS. Ideally, an understanding of the potential of AI within the QA landscape This is a fully remote role with occasional visits to Head Office. People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
A Lead Dynamics 365 Engineer working alongside partners in a Tech for Good company in the environmental space. Client Details The company itself are fully carbon neutral and works in the environmental space. They deliver a range of services including solar panels and electric car charging points. This is a hybrid role where you will WFH and travel to the Billericay office twice a month. Description Responsibilities of the role: To design, build and configure the Microsoft Dynamics 365 components required to meet the business plan Accountable for the non functional performance of the Microsoft Dynamics and Power Platform (accessibility, performance, scale-ability, security and resilience) Technical collaboration with D365 partners This is a mixed role of working out the solution alongside implementation and you will be the most senior person in Dynamics in the organisation Responsible for the technical definition of work packages in the D365 transformation programme that will enable the delivery of the Technology Transformation Roadmap and Business Plan goals Profile Must haves: Experience of solution architecture/design of ideally D365 CE and Finance, if not both then an expert in one and integrated with the other/knowledge of the other and willing to learn D365 dual use rights Familiar with whole Power Platform, not just Dynamics Worked in a medium sized business and lead the technical aspect Successfully worked with partners Experience of utilising D365 to deliver business outcomes such as improved revenue, efficiency and cost reduction Experience with customising and configuring D365 apps, tables, processes and workflows Previous experience effectively communicating a complex transformation or technology road to a range of stakeholders including Executive Leadership, whole IT division and corporate audience Knowledge of Azure DevOps solution control, pipelines and release processes Job Offer Hybrid working role with travel to the office twice a month Yearly bonus Nursery vouchers Cycle to work scheme Subsidised GYM nationally or free access at Head Office Training, development, coaching within their Leadership academy Job specific accreditation's Medigold employee support
10/05/2024
Full time
A Lead Dynamics 365 Engineer working alongside partners in a Tech for Good company in the environmental space. Client Details The company itself are fully carbon neutral and works in the environmental space. They deliver a range of services including solar panels and electric car charging points. This is a hybrid role where you will WFH and travel to the Billericay office twice a month. Description Responsibilities of the role: To design, build and configure the Microsoft Dynamics 365 components required to meet the business plan Accountable for the non functional performance of the Microsoft Dynamics and Power Platform (accessibility, performance, scale-ability, security and resilience) Technical collaboration with D365 partners This is a mixed role of working out the solution alongside implementation and you will be the most senior person in Dynamics in the organisation Responsible for the technical definition of work packages in the D365 transformation programme that will enable the delivery of the Technology Transformation Roadmap and Business Plan goals Profile Must haves: Experience of solution architecture/design of ideally D365 CE and Finance, if not both then an expert in one and integrated with the other/knowledge of the other and willing to learn D365 dual use rights Familiar with whole Power Platform, not just Dynamics Worked in a medium sized business and lead the technical aspect Successfully worked with partners Experience of utilising D365 to deliver business outcomes such as improved revenue, efficiency and cost reduction Experience with customising and configuring D365 apps, tables, processes and workflows Previous experience effectively communicating a complex transformation or technology road to a range of stakeholders including Executive Leadership, whole IT division and corporate audience Knowledge of Azure DevOps solution control, pipelines and release processes Job Offer Hybrid working role with travel to the office twice a month Yearly bonus Nursery vouchers Cycle to work scheme Subsidised GYM nationally or free access at Head Office Training, development, coaching within their Leadership academy Job specific accreditation's Medigold employee support
Information Security Analyst required for a growing charity based in Glasgow. They are a charity for a brilliant cause providing free support and information in all their centres across the UK as well as online. They have big ambitions to open more centres within the next few years and with all this growth, all of their IT will be brought in house! You will be the first Information Security Officer within the company working closely with the Head of IT and Data Protection officer, ensuring that security guidance is provided to support the entire organisation. You will design, implement, and take ownership of all policies and procedures and develop and implement DLP policies for all the businesses data. You will perform any internal audits, external audits on any platforms used by the company to ensure they meet the security standards and take lead on arranging penetration testing. You will take leadership on coordinating internal phishing campaigns for staff awareness, security training, ensuring all network infrastructure is securely configured and monitor all platforms and systems for unusual activity or threats. You will have the following Skills/Experience - * Strong experience working with and deploying SIEM systems * Certified (or working towards) CISSP or CISM level * Experience with cloud platforms such as O365 and Azure * A good understanding of Network Firewalls and protocols * Strong knowledge and experience of ISO 27001 and ISF Standards * Demonstrable experience in a similar role * Strong understanding of and experience of applying GDPR standards and codes of practice With you being the main IT Security Analyst within the company you may need to travel to their sites on occasion. They are keen to have you in the office, (with some flexibility) and there may be some occasional unsociable hours should there be any work that needs completed on a certain day/afterhours - this shouldn't happen to often! The salary on offer is between £33K- £44K depending on experience, along with a benefits package. If you want to join a company who benefits people in need and want to help develop their team, please apply or call Nicole at Cathcart Technology for more information.
10/05/2024
Full time
Information Security Analyst required for a growing charity based in Glasgow. They are a charity for a brilliant cause providing free support and information in all their centres across the UK as well as online. They have big ambitions to open more centres within the next few years and with all this growth, all of their IT will be brought in house! You will be the first Information Security Officer within the company working closely with the Head of IT and Data Protection officer, ensuring that security guidance is provided to support the entire organisation. You will design, implement, and take ownership of all policies and procedures and develop and implement DLP policies for all the businesses data. You will perform any internal audits, external audits on any platforms used by the company to ensure they meet the security standards and take lead on arranging penetration testing. You will take leadership on coordinating internal phishing campaigns for staff awareness, security training, ensuring all network infrastructure is securely configured and monitor all platforms and systems for unusual activity or threats. You will have the following Skills/Experience - * Strong experience working with and deploying SIEM systems * Certified (or working towards) CISSP or CISM level * Experience with cloud platforms such as O365 and Azure * A good understanding of Network Firewalls and protocols * Strong knowledge and experience of ISO 27001 and ISF Standards * Demonstrable experience in a similar role * Strong understanding of and experience of applying GDPR standards and codes of practice With you being the main IT Security Analyst within the company you may need to travel to their sites on occasion. They are keen to have you in the office, (with some flexibility) and there may be some occasional unsociable hours should there be any work that needs completed on a certain day/afterhours - this shouldn't happen to often! The salary on offer is between £33K- £44K depending on experience, along with a benefits package. If you want to join a company who benefits people in need and want to help develop their team, please apply or call Nicole at Cathcart Technology for more information.
Sanderson Government & Defence
Gateshead, Tyne And Wear
Principal Engineer Gateshead (Onsite) £40k - £55k DOE Role details: We are working with a Defence Consultancy who provide innovative and complex defence solutions for land, sea and air. They design and build ruggedised electronic solutions for a wide range of applications and purposes. They are looking for a Principal Engineer to lead on all technical and engineering matters. Providing design, development, delivery and in-service support on a range of systems including Communications Information Services, Fighting Vehicles and Electronic Warfare. Responsibilities: Providing day to day technical and engineering consultancy. Liaison with clients, suppliers, Project Managers, senior managers, and other product & project stakeholders. Line Management of designated staff. Providing authorisation of documents and drawings pertinent to the designated field/product/project. Preparation of, and leading of various Reviews Requirements: Technical capability and an awareness of new developments in the associated field of engineering Ability to attend and lead client meetings and present visual presentations. Ability to breakdown tasks into a SOW and delegate tasks accordingly Competent to use a configuration management application to approve and direct document production. Eligibility: To be considered for the role, you must be eligible for UK Security Clearance.
09/05/2024
Full time
Principal Engineer Gateshead (Onsite) £40k - £55k DOE Role details: We are working with a Defence Consultancy who provide innovative and complex defence solutions for land, sea and air. They design and build ruggedised electronic solutions for a wide range of applications and purposes. They are looking for a Principal Engineer to lead on all technical and engineering matters. Providing design, development, delivery and in-service support on a range of systems including Communications Information Services, Fighting Vehicles and Electronic Warfare. Responsibilities: Providing day to day technical and engineering consultancy. Liaison with clients, suppliers, Project Managers, senior managers, and other product & project stakeholders. Line Management of designated staff. Providing authorisation of documents and drawings pertinent to the designated field/product/project. Preparation of, and leading of various Reviews Requirements: Technical capability and an awareness of new developments in the associated field of engineering Ability to attend and lead client meetings and present visual presentations. Ability to breakdown tasks into a SOW and delegate tasks accordingly Competent to use a configuration management application to approve and direct document production. Eligibility: To be considered for the role, you must be eligible for UK Security Clearance.
Python Back End engineers are required by this leading Product company as they look to bring their development back in-house and build out the functionality on an already-successful platform operating in a niche space with a fantastic client base.You will be spearheading the creation and deployment of ground-breaking software solutions Key Responsibilities: Work as part of a cross-functional team to help drive the development of new features Lead change, innovation, and drive transformation within our teams: your expertise will identify opportunities for improvement in our Front End applications, tooling, and architecture. Ensure best practices and patterns: you will advocate and enforce best standards, and patterns. Your deep understanding of Front End technologies will help you to guide your peers - ensuring that our code is of high quality. Work on automation and process improvement: you will increase efficiency, reliability, and scalability, by creating automated processes that improve development workflows. Promote engineering ways of working: by taking the lead in establishing the importance of engineering first principles in your team and ensuring they are followed. Collaborate and share knowledge: you will engage with the engineering community, using your expertise to contribute to events and knowledge-sharing initiatives. You will inspire and motivate your peers to learn - improving their capabilities. Participate in hiring new engineers: you will be part of the interview and hiring process, using your experience and insights to identify top talent. You will help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures to meet scalability, reliability and security targets Good problem-solving skills with an emphasis on product development In-depth understanding of best practices, coding standards, and architectural patterns in Back End development. Experience in automating builds, code checks, and releases using industry-standard tools. Knowledge and experience of Agile methodologies and practices Experience of B2B2C SaaS products would be an advantage The role requires 2 days a week in the London office
08/05/2024
Full time
Python Back End engineers are required by this leading Product company as they look to bring their development back in-house and build out the functionality on an already-successful platform operating in a niche space with a fantastic client base.You will be spearheading the creation and deployment of ground-breaking software solutions Key Responsibilities: Work as part of a cross-functional team to help drive the development of new features Lead change, innovation, and drive transformation within our teams: your expertise will identify opportunities for improvement in our Front End applications, tooling, and architecture. Ensure best practices and patterns: you will advocate and enforce best standards, and patterns. Your deep understanding of Front End technologies will help you to guide your peers - ensuring that our code is of high quality. Work on automation and process improvement: you will increase efficiency, reliability, and scalability, by creating automated processes that improve development workflows. Promote engineering ways of working: by taking the lead in establishing the importance of engineering first principles in your team and ensuring they are followed. Collaborate and share knowledge: you will engage with the engineering community, using your expertise to contribute to events and knowledge-sharing initiatives. You will inspire and motivate your peers to learn - improving their capabilities. Participate in hiring new engineers: you will be part of the interview and hiring process, using your experience and insights to identify top talent. You will help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures to meet scalability, reliability and security targets Good problem-solving skills with an emphasis on product development In-depth understanding of best practices, coding standards, and architectural patterns in Back End development. Experience in automating builds, code checks, and releases using industry-standard tools. Knowledge and experience of Agile methodologies and practices Experience of B2B2C SaaS products would be an advantage The role requires 2 days a week in the London office
DV Cleared Head of Programmes- Defence, Air and Space - £Competitive Salary - Hybrid Basis Farnborough +bonus, pension,private medical My client is a boutique Defence, Air and Space SME who are looking for a DV Cleared Head of Programmes within Defence, Air and Space. The successful candidate will be responsible for the oversight, governance and delivery of designated Programmes and Projects and will have significant experience working with existing and emergent high technology products and organisations, and also have a demonstrable reputation for maintaining high value and trusted relationships with key stakeholders and clients across the Defence Air and Space sectors. Responsibilities: Oversea the delivery of Programmes and Projects with the client's portfolio Maintain high value relationships with both existing and potential clients, specifically in the Defence Air & Space sector. Engage, influence and work collaboratively with key stakeholders and customers in order to deliver high value outcomes. Support Programme and Projects teams, providing guidance and mentoring as required Ensure the Business Process and Policies are being followed and adhered to. Support the COO in managing workforce capability and internal capability development (people, process, tools) Actively promote and support ongoing recognition of both individuals and teams within your business area Overseeing client engagement to ensure effective and timely delivery of projects/products. Ongoing clear and concise communication and feedback, and setting of SMART objectives, with project teams to ensure they fully understand expectations. Overseeing client engagement to ensure effective and timely delivery of projects/products. Ongoing clear and concise communication and feedback, and setting of SMART objectives, with project teams to ensure they fully understand expectations. Review and manage the quality of project deliverables to standards required by the client's quality management policy as required. Work collaboratively across peer groups. Always look for ways to improve our service and quality. Keep up to date with skills and developments in the industry. Mentor new and less experienced team members. Requirements: Minimum DV security clearance 10 Years experience in the Defence Air & Space sector Deep understand of Portfolio, Programme and Project Management (P3M) Experience of working with new and emergent technologies Excellent communicator DV Cleared Head of Programmes- Defence, Air and Space - £Competitive Salary - Hybrid Basis Farnborough +bonus, pension,private medical Damia Group 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 our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
07/05/2024
Full time
DV Cleared Head of Programmes- Defence, Air and Space - £Competitive Salary - Hybrid Basis Farnborough +bonus, pension,private medical My client is a boutique Defence, Air and Space SME who are looking for a DV Cleared Head of Programmes within Defence, Air and Space. The successful candidate will be responsible for the oversight, governance and delivery of designated Programmes and Projects and will have significant experience working with existing and emergent high technology products and organisations, and also have a demonstrable reputation for maintaining high value and trusted relationships with key stakeholders and clients across the Defence Air and Space sectors. Responsibilities: Oversea the delivery of Programmes and Projects with the client's portfolio Maintain high value relationships with both existing and potential clients, specifically in the Defence Air & Space sector. Engage, influence and work collaboratively with key stakeholders and customers in order to deliver high value outcomes. Support Programme and Projects teams, providing guidance and mentoring as required Ensure the Business Process and Policies are being followed and adhered to. Support the COO in managing workforce capability and internal capability development (people, process, tools) Actively promote and support ongoing recognition of both individuals and teams within your business area Overseeing client engagement to ensure effective and timely delivery of projects/products. Ongoing clear and concise communication and feedback, and setting of SMART objectives, with project teams to ensure they fully understand expectations. Overseeing client engagement to ensure effective and timely delivery of projects/products. Ongoing clear and concise communication and feedback, and setting of SMART objectives, with project teams to ensure they fully understand expectations. Review and manage the quality of project deliverables to standards required by the client's quality management policy as required. Work collaboratively across peer groups. Always look for ways to improve our service and quality. Keep up to date with skills and developments in the industry. Mentor new and less experienced team members. Requirements: Minimum DV security clearance 10 Years experience in the Defence Air & Space sector Deep understand of Portfolio, Programme and Project Management (P3M) Experience of working with new and emergent technologies Excellent communicator DV Cleared Head of Programmes- Defence, Air and Space - £Competitive Salary - Hybrid Basis Farnborough +bonus, pension,private medical Damia Group 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 our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
Role: Sailpoint SME Location: London Duration: 6 months Key essential skills: 5+ years of experience in Identity and Access Management 4+ years of SailPoint IIQ experience Experience in SailPoint Identity IQ platform version upgrades (ideally v8 to v8.3/8.4) and migrations Expertise working with SailPoint Identity IQ platform - Access Lifecycle Management, Certifications, Role Management VS Code, SQL Management Studio, Jira, Git. Programming languages: Java, Python, SQL Server 2022. Databases: MSSQL, Oracle. Cloud Technology: Azure QA duties: usability, performance & automated testing, test scripts, cases and plans. Expertise in onboarding applications with various connectors like Active Directory, JDBC, SCIM 2.0, Azure Active Directory Expertise developing APIs (SCIM, REST) leveraging Java based development Experience of Privileged Access Management concepts and use cases. Desirable skills: Experience with SSO & MFA products like PingFederate, OKTA, ForgeRock, CyberArk, Delinea is a plus Excellent verbal and written communication skills Degree qualified in Computer Science or a related field CISSP, or other industry recognized security certification(s) are preferred. Overview: We are seeking an experienced professional to join our team as an additional resource for our SailPoint upgrade project. The ideal candidate will have a strong background in Identity and Access Management (IAM), with significant experience specifically in SailPoint Identity IQ (IIQ) platform upgrades and migrations. Role & Responsibilities: Lead and support SailPoint Identity IQ platform version upgrades, particularly from v8 to v8.3/8.4, ensuring smooth transitions and minimal disruptions to operations. Utilize expertise in SailPoint Identity IQ platform to manage Access Lifecycle, Certifications, and Role Management processes effectively. Onboard applications using various connectors including but not limited to Active Directory, JDBC, SCIM 2.0, and Azure Active Directory. Develop APIs leveraging Java-based development, particularly SCIM and REST APIs. Demonstrate understanding and experience with Privileged Access Management (PAM) concepts and use cases. Collaborate with the team to ensure compatibility and integration of IAM solutions with other systems and platforms. Stay updated with industry best practices and emerging technologies related to IAM and SailPoin Outline Thebes Group: Thebes Group is a leading UK wide IT infrastructure technology consultancy. We are well-known for our extensive talent pool of highly competent IT professionals and exclusive Academy programmes, which provide a great opportunity to undertake technical training in core disciplines. Thebes work with a number of leading vendors, Government, financial institutions and insurance companies including investment banks, brokers and hedge funds. Thebes does IT solutions & services differently from most other IT service providers. As an Assured Outcome Provider (AOP) we have spent fifteen years willingly sharing the client's risk with them by focusing on outputs (ie quality service & solutions and ROI) rather than inputs (ie pricelists and headcount). We do this by fitting our skills, solutions & capabilities to needs, augmenting our staff with enthusiastic professionals from our Academy programme and remaining flexible as our clients needs change.
07/05/2024
Project-based
Role: Sailpoint SME Location: London Duration: 6 months Key essential skills: 5+ years of experience in Identity and Access Management 4+ years of SailPoint IIQ experience Experience in SailPoint Identity IQ platform version upgrades (ideally v8 to v8.3/8.4) and migrations Expertise working with SailPoint Identity IQ platform - Access Lifecycle Management, Certifications, Role Management VS Code, SQL Management Studio, Jira, Git. Programming languages: Java, Python, SQL Server 2022. Databases: MSSQL, Oracle. Cloud Technology: Azure QA duties: usability, performance & automated testing, test scripts, cases and plans. Expertise in onboarding applications with various connectors like Active Directory, JDBC, SCIM 2.0, Azure Active Directory Expertise developing APIs (SCIM, REST) leveraging Java based development Experience of Privileged Access Management concepts and use cases. Desirable skills: Experience with SSO & MFA products like PingFederate, OKTA, ForgeRock, CyberArk, Delinea is a plus Excellent verbal and written communication skills Degree qualified in Computer Science or a related field CISSP, or other industry recognized security certification(s) are preferred. Overview: We are seeking an experienced professional to join our team as an additional resource for our SailPoint upgrade project. The ideal candidate will have a strong background in Identity and Access Management (IAM), with significant experience specifically in SailPoint Identity IQ (IIQ) platform upgrades and migrations. Role & Responsibilities: Lead and support SailPoint Identity IQ platform version upgrades, particularly from v8 to v8.3/8.4, ensuring smooth transitions and minimal disruptions to operations. Utilize expertise in SailPoint Identity IQ platform to manage Access Lifecycle, Certifications, and Role Management processes effectively. Onboard applications using various connectors including but not limited to Active Directory, JDBC, SCIM 2.0, and Azure Active Directory. Develop APIs leveraging Java-based development, particularly SCIM and REST APIs. Demonstrate understanding and experience with Privileged Access Management (PAM) concepts and use cases. Collaborate with the team to ensure compatibility and integration of IAM solutions with other systems and platforms. Stay updated with industry best practices and emerging technologies related to IAM and SailPoin Outline Thebes Group: Thebes Group is a leading UK wide IT infrastructure technology consultancy. We are well-known for our extensive talent pool of highly competent IT professionals and exclusive Academy programmes, which provide a great opportunity to undertake technical training in core disciplines. Thebes work with a number of leading vendors, Government, financial institutions and insurance companies including investment banks, brokers and hedge funds. Thebes does IT solutions & services differently from most other IT service providers. As an Assured Outcome Provider (AOP) we have spent fifteen years willingly sharing the client's risk with them by focusing on outputs (ie quality service & solutions and ROI) rather than inputs (ie pricelists and headcount). We do this by fitting our skills, solutions & capabilities to needs, augmenting our staff with enthusiastic professionals from our Academy programme and remaining flexible as our clients needs change.
Gleeson Recruitment Group have just been briefed on a fantastic opportunity for an experienced NetSuite Administrator to join a growing organization based in Staffordshire. As NetSuite Administrator, your primary responsibility will be overseeing and maintaining our NetSuite instance across multiple territories, optimising its performance and functionality as necessary. This pivotal role supports and fortifies our NetSuite ERP system, for accounting purposes and broader business operations. You'll collaborate closely with IT, finance and other departments, understanding their needs, implementing customisations, offering user support and fostering continuous improvement. In addition, streamlining and improving the efficiency of existing business processes, to ensure the reliable integration of financial data and full compliance with accounting standards, will be a key part of the role. KEY RESPONSIBILITIES: Manage User Roles and Permissions: Administer user access and permissions within NetSuite according to organisational roles and responsibilities, regularly review and update user roles to ensure appropriate access levels and security settings. Define role-based access controls (RBAC) to enforce segregation of duties (SoD) and prevent unauthorised access to sensitive data/transactions, and maintain role hierarchies within NetSuite to reflect organisational structure and reporting relationships. Use NetSuite's audit trail and activity monitoring features to track user actions, system changes and security events, conduct periodic access reviews to validate user access rights, identify dormant accounts and remove unnecessary privileges. Enforce compliance with security policies, data protection regulations and industry standards (eg, GDPR) by configuring role-based permissions and access controls. Collaborate with internal compliance, audit and security teams to ensure NetSuite configurations align with regulatory requirements and internal security standards. Conduct periodic reviews of user activity logs and audit trails to identify potential security risks, anomalies or compliance violations. Ensure two-factor authentication (2FA) is enabled for NetSuite users to enhance account security and prevent unauthorised access. Work with functional heads and system owners across the group to review and approve access requests, ensuring compliance with least privilege principles and business needs. PBCS Administration: Responsible for the administration and configuration of Oracle Planning and Budgeting Cloud Service (PBCS) to support financial planning, budgeting and forecasting activities. Manage data integration processes, including data mapping, transformation and loading, to ensure accurate and timely updates of financial data within PBCS. Ensuring that PBCS runs efficiently in accordance with Oracle NetSuite's guidance, optimising its performance and functionality to meet the business financial planning and reporting needs. Document and Standardise Processes: Document key business processes, accounting policies and internal controls within NetSuite, including workflow diagrams, process narratives and control matrices. Standardise processes and workflows across departments to enhance efficiency, reduce manual interventions, and streamline audit procedures, with the aim of reducing enquiries and testing requirements from auditors. Establish, implement and oversee processes and protocols for the following areas: New codes and/or cost centres Management of foreign exchange (FX) rates FX rate adjustments Opening and closing accounting periods; and A sign off and approval Matrix, to ensure clear audit trail and adherence to Segregation of Duties (SOD) principles Configure and Customise NetSuite: Work closely with business stakeholders to understand their requirements and translate them into NetSuite configurations. Customise NetSuite forms, fields and records to align with business processes and data management needs. Implement custom workflows, scripts and automation to streamline business operations and improve efficiency. Utilise existing tools to create custom dashboards, reports and saved searches tailored to specific user needs. Develop and maintain custom scripts, workflows and reports in NetSuite. Stay updated on new NetSuite features, releases and industry best practices, to recommend and implement improvements. Technical Support and Training: Serve as the primary point of contact for end-user support, troubleshooting system issues, and resolving technical queries. Conduct training sessions and workshops to educate users on NetSuite functionality, best practices and new features. Create user documentation, training materials and knowledge base articles to facilitate self-service support and user adoption of best practice. Required Skills and Qualifications: Proven experience as a NetSuite Administrator or similar role, with a strong understanding of NetSuite ERP and CRM modules. Working understanding of Oracle PBCS, in relation to its use for financial planning, budgeting and forecasting processes, to support decision-making and business performance analysis. Excellent problem-solving skills with the ability to troubleshoot complex issues and find effective solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Ability to manage multiple priorities and work in a fast-paced environment. Highly desirable are Oracle NetSuite certifications such as NetSuite Administrator or NetSuite ERP Consultant. At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.
07/05/2024
Full time
Gleeson Recruitment Group have just been briefed on a fantastic opportunity for an experienced NetSuite Administrator to join a growing organization based in Staffordshire. As NetSuite Administrator, your primary responsibility will be overseeing and maintaining our NetSuite instance across multiple territories, optimising its performance and functionality as necessary. This pivotal role supports and fortifies our NetSuite ERP system, for accounting purposes and broader business operations. You'll collaborate closely with IT, finance and other departments, understanding their needs, implementing customisations, offering user support and fostering continuous improvement. In addition, streamlining and improving the efficiency of existing business processes, to ensure the reliable integration of financial data and full compliance with accounting standards, will be a key part of the role. KEY RESPONSIBILITIES: Manage User Roles and Permissions: Administer user access and permissions within NetSuite according to organisational roles and responsibilities, regularly review and update user roles to ensure appropriate access levels and security settings. Define role-based access controls (RBAC) to enforce segregation of duties (SoD) and prevent unauthorised access to sensitive data/transactions, and maintain role hierarchies within NetSuite to reflect organisational structure and reporting relationships. Use NetSuite's audit trail and activity monitoring features to track user actions, system changes and security events, conduct periodic access reviews to validate user access rights, identify dormant accounts and remove unnecessary privileges. Enforce compliance with security policies, data protection regulations and industry standards (eg, GDPR) by configuring role-based permissions and access controls. Collaborate with internal compliance, audit and security teams to ensure NetSuite configurations align with regulatory requirements and internal security standards. Conduct periodic reviews of user activity logs and audit trails to identify potential security risks, anomalies or compliance violations. Ensure two-factor authentication (2FA) is enabled for NetSuite users to enhance account security and prevent unauthorised access. Work with functional heads and system owners across the group to review and approve access requests, ensuring compliance with least privilege principles and business needs. PBCS Administration: Responsible for the administration and configuration of Oracle Planning and Budgeting Cloud Service (PBCS) to support financial planning, budgeting and forecasting activities. Manage data integration processes, including data mapping, transformation and loading, to ensure accurate and timely updates of financial data within PBCS. Ensuring that PBCS runs efficiently in accordance with Oracle NetSuite's guidance, optimising its performance and functionality to meet the business financial planning and reporting needs. Document and Standardise Processes: Document key business processes, accounting policies and internal controls within NetSuite, including workflow diagrams, process narratives and control matrices. Standardise processes and workflows across departments to enhance efficiency, reduce manual interventions, and streamline audit procedures, with the aim of reducing enquiries and testing requirements from auditors. Establish, implement and oversee processes and protocols for the following areas: New codes and/or cost centres Management of foreign exchange (FX) rates FX rate adjustments Opening and closing accounting periods; and A sign off and approval Matrix, to ensure clear audit trail and adherence to Segregation of Duties (SOD) principles Configure and Customise NetSuite: Work closely with business stakeholders to understand their requirements and translate them into NetSuite configurations. Customise NetSuite forms, fields and records to align with business processes and data management needs. Implement custom workflows, scripts and automation to streamline business operations and improve efficiency. Utilise existing tools to create custom dashboards, reports and saved searches tailored to specific user needs. Develop and maintain custom scripts, workflows and reports in NetSuite. Stay updated on new NetSuite features, releases and industry best practices, to recommend and implement improvements. Technical Support and Training: Serve as the primary point of contact for end-user support, troubleshooting system issues, and resolving technical queries. Conduct training sessions and workshops to educate users on NetSuite functionality, best practices and new features. Create user documentation, training materials and knowledge base articles to facilitate self-service support and user adoption of best practice. Required Skills and Qualifications: Proven experience as a NetSuite Administrator or similar role, with a strong understanding of NetSuite ERP and CRM modules. Working understanding of Oracle PBCS, in relation to its use for financial planning, budgeting and forecasting processes, to support decision-making and business performance analysis. Excellent problem-solving skills with the ability to troubleshoot complex issues and find effective solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Ability to manage multiple priorities and work in a fast-paced environment. Highly desirable are Oracle NetSuite certifications such as NetSuite Administrator or NetSuite ERP Consultant. At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.