*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.
About Us We are the International Division of our client, quoted on the LSE. Our client provides innovative and high-quality engineered components for the fenestration industry. The Division operates in Europe, Africa, Asia, Australia and Latin America. It is headquartered in Bologna and besides in Italy, it has manufacturing operations in the UK, China and Australia, along with sales and distribution units with light assembly facilities in Argentina, France, Greece, India, Spain, Turkey, Brasil, Germany and the United Arab Emirates. Our client's products are sold into residential and commercial applications all over the world under the Schlegel brand for sealing solutions to aluminium, PVCu and timber applications, the Giesse brand for hardware systems in aluminium doors and windows and the Reguitti brand for doors and windows handles. What You'll Do For our plant located in Henlow, we are looking for a Maintenance Engineer to join our team. Your main tasks & responsibilities Maintain and service all production machinery, using a multi-skilled approach, in accordance with manufacturers OEM'S Provide frontline engineering support Assist the Engineering Supervisor in minimising machine down time by proposing and introducing improved maintenance programmes and continuous improvement ideas Execute DPM/PPM systems Carry out property/facility maintenance duties as required Carry out routine statutory checks as required Complete a breakdown/fault log on a daily basis Liaise with the cell leaders on a daily basis providing engineering support Liaise with contracted service providers when on site, sign on/off in line with the companies site visitor/"permit to work" procedures Ensure TDI Monitoring system is operating correctly at all times Monitor engineering stock usage, order spares as required to provide continuous production support Participate in continuous improvement programmes Complete additional skills training as required by the company To provide out of hours "call-out" service Carry out such other duties as the management team may reasonably require To adhere to all Health, Safety and Environmental procedures To report any unsafe acts or Health, Safety and Environmental incidents Key Contacts Engineering Manager Engineering Supervisor Plant Manager Production Manager Shift Supervisors Key Outputs Contribute to smooth operation of production plant and site facilities. Key Skills Ideally Electrically Biased Multi Skilled Apprenticeship and NVQ level 3 Electrical 18th Edition qualification desirable Technically competent Knowledge of electrical/mechanical DPM/PPM procedures an advantage Knowledge of hydraulic and pneumatic systems an advantage Conversant with electrical/PLC control systems desirable Conversant with H&S rules, regulations and best practices (LOTO) Ability to prioritise workload and concisely record information Basic IT Knowledge Be able to work independently and part of a team "Hands on" and "can do" approach Additional Information Competitive Salary Immediate start
09/05/2024
Full time
About Us We are the International Division of our client, quoted on the LSE. Our client provides innovative and high-quality engineered components for the fenestration industry. The Division operates in Europe, Africa, Asia, Australia and Latin America. It is headquartered in Bologna and besides in Italy, it has manufacturing operations in the UK, China and Australia, along with sales and distribution units with light assembly facilities in Argentina, France, Greece, India, Spain, Turkey, Brasil, Germany and the United Arab Emirates. Our client's products are sold into residential and commercial applications all over the world under the Schlegel brand for sealing solutions to aluminium, PVCu and timber applications, the Giesse brand for hardware systems in aluminium doors and windows and the Reguitti brand for doors and windows handles. What You'll Do For our plant located in Henlow, we are looking for a Maintenance Engineer to join our team. Your main tasks & responsibilities Maintain and service all production machinery, using a multi-skilled approach, in accordance with manufacturers OEM'S Provide frontline engineering support Assist the Engineering Supervisor in minimising machine down time by proposing and introducing improved maintenance programmes and continuous improvement ideas Execute DPM/PPM systems Carry out property/facility maintenance duties as required Carry out routine statutory checks as required Complete a breakdown/fault log on a daily basis Liaise with the cell leaders on a daily basis providing engineering support Liaise with contracted service providers when on site, sign on/off in line with the companies site visitor/"permit to work" procedures Ensure TDI Monitoring system is operating correctly at all times Monitor engineering stock usage, order spares as required to provide continuous production support Participate in continuous improvement programmes Complete additional skills training as required by the company To provide out of hours "call-out" service Carry out such other duties as the management team may reasonably require To adhere to all Health, Safety and Environmental procedures To report any unsafe acts or Health, Safety and Environmental incidents Key Contacts Engineering Manager Engineering Supervisor Plant Manager Production Manager Shift Supervisors Key Outputs Contribute to smooth operation of production plant and site facilities. Key Skills Ideally Electrically Biased Multi Skilled Apprenticeship and NVQ level 3 Electrical 18th Edition qualification desirable Technically competent Knowledge of electrical/mechanical DPM/PPM procedures an advantage Knowledge of hydraulic and pneumatic systems an advantage Conversant with electrical/PLC control systems desirable Conversant with H&S rules, regulations and best practices (LOTO) Ability to prioritise workload and concisely record information Basic IT Knowledge Be able to work independently and part of a team "Hands on" and "can do" approach Additional Information Competitive Salary Immediate start
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.
Job Title: Head of Production (Water Industry) Location: Green Lane, Walsall or Fulbourn Road, Cambridge (Hybrid - 3dpw in office location) Team : 3 direct reports, total team size 64 employees. Package: To 75k DOE + Company Car/Allowance + Bonus to 10% Travel: Frequent travel to Production sites including Cambridge and Hampton Loade Step into a pivotal role as our Head of Production and lead our passionate production teams to deliver pristine drinking water to communities across South Staffs and Cambridge. Drive transformative strategies that address industry challenges while championing our unwavering commitment to exceptional quality, safety, and environmental stewardship. This influential senior leadership position empowers you to oversee the day-to-day operations of water production and storage, ensuring a reliable and continuous water supply for all. Join us in making a meaningful impact-providing clean, safe water to enhance lives and sustain our communities. About us: At South Staffs Water, we deliver clean and reliable water supplies to around 1.7 million customers within the South Staffs and Cambridge regions. As a water only Company, providing clean, healthy water 24 hours a day, 365 days a year is at the very heart of what we do and that's where you come in. About the role: • Champion Human Organisation Performance (HOP) principles to drive health and safety performance improvements to mitigate critical risk / hazards. • Deliver water quality compliance risk index (CRI) outcome delivery incentive (ODI). • Deliver annual unplanned interruption outcome delivery incentive (ODI). • Deliver maintenance, compliance, and team activities within annual operating expenditure budgets. • Continuous employee engagement, staff retention and team development. The key deliverables: • Effective leadership of Production teams across both operating regions • Management and implementation of industry leading Health & Safety standards associated with all operational staff and sites. • Providing direction, strategies and tracking operational performance to ensure compliance with Defra, EA, HSE, DWI standards. • Liaising with external bodies, auditors, review bodies and regulators • Evaluation of key business processes to ensure internal controls and risk measures are effective. • Ensuring sufficient competent staff are in place and that training is evaluated and maintained at the required standard. • Effectively managing budgets for operational and capital spend • Developing strategies and tactical plans for the risk-based optimisation of maintenance and reactive interventions • Developing strategies for the management of interventions to balance the operational risks of failure. • Overall accountability for Competent Operator Scheme compliance and assurance. • Responsible for water quality compliance risk index (CRI) outcome delivery incentive (ODI). • Being part of emergency/incident standby rota. What you'll need: • Experience of Production leadership roles in a Water/Energy or similar environment • The ability to think strategically, make decisions, and set priorities. • Ability to lead, develop and motivate distributed teams in an agile environment. • Demonstrate well-honed emotional intelligence and communication skills, able to influence and build effective relationships across a range of internal and external stakeholders and act as an ambassador for the business. • Experience of managing operating and capital budgets is essential. • Demonstrate the ability to engage with internal and external stakeholders at a senior level. • Educated to degree level or equivalent experience • NEBOSH Diploma or NVQ Level 5 Diploma in H&S desired. • Hold or working towards Chartership of an Institution desired • Must hold a full UK Driving Licence. What you'll get in return: • Basic salary to £75k DOE • Bonus up to 10% • Car/Car Allowance • Matched pension contributions • Employee assistance and wellbeing programme • Private Health • Retail discounts • On-site gym • On-site nursery
25/04/2024
Full time
Job Title: Head of Production (Water Industry) Location: Green Lane, Walsall or Fulbourn Road, Cambridge (Hybrid - 3dpw in office location) Team : 3 direct reports, total team size 64 employees. Package: To 75k DOE + Company Car/Allowance + Bonus to 10% Travel: Frequent travel to Production sites including Cambridge and Hampton Loade Step into a pivotal role as our Head of Production and lead our passionate production teams to deliver pristine drinking water to communities across South Staffs and Cambridge. Drive transformative strategies that address industry challenges while championing our unwavering commitment to exceptional quality, safety, and environmental stewardship. This influential senior leadership position empowers you to oversee the day-to-day operations of water production and storage, ensuring a reliable and continuous water supply for all. Join us in making a meaningful impact-providing clean, safe water to enhance lives and sustain our communities. About us: At South Staffs Water, we deliver clean and reliable water supplies to around 1.7 million customers within the South Staffs and Cambridge regions. As a water only Company, providing clean, healthy water 24 hours a day, 365 days a year is at the very heart of what we do and that's where you come in. About the role: • Champion Human Organisation Performance (HOP) principles to drive health and safety performance improvements to mitigate critical risk / hazards. • Deliver water quality compliance risk index (CRI) outcome delivery incentive (ODI). • Deliver annual unplanned interruption outcome delivery incentive (ODI). • Deliver maintenance, compliance, and team activities within annual operating expenditure budgets. • Continuous employee engagement, staff retention and team development. The key deliverables: • Effective leadership of Production teams across both operating regions • Management and implementation of industry leading Health & Safety standards associated with all operational staff and sites. • Providing direction, strategies and tracking operational performance to ensure compliance with Defra, EA, HSE, DWI standards. • Liaising with external bodies, auditors, review bodies and regulators • Evaluation of key business processes to ensure internal controls and risk measures are effective. • Ensuring sufficient competent staff are in place and that training is evaluated and maintained at the required standard. • Effectively managing budgets for operational and capital spend • Developing strategies and tactical plans for the risk-based optimisation of maintenance and reactive interventions • Developing strategies for the management of interventions to balance the operational risks of failure. • Overall accountability for Competent Operator Scheme compliance and assurance. • Responsible for water quality compliance risk index (CRI) outcome delivery incentive (ODI). • Being part of emergency/incident standby rota. What you'll need: • Experience of Production leadership roles in a Water/Energy or similar environment • The ability to think strategically, make decisions, and set priorities. • Ability to lead, develop and motivate distributed teams in an agile environment. • Demonstrate well-honed emotional intelligence and communication skills, able to influence and build effective relationships across a range of internal and external stakeholders and act as an ambassador for the business. • Experience of managing operating and capital budgets is essential. • Demonstrate the ability to engage with internal and external stakeholders at a senior level. • Educated to degree level or equivalent experience • NEBOSH Diploma or NVQ Level 5 Diploma in H&S desired. • Hold or working towards Chartership of an Institution desired • Must hold a full UK Driving Licence. What you'll get in return: • Basic salary to £75k DOE • Bonus up to 10% • Car/Car Allowance • Matched pension contributions • Employee assistance and wellbeing programme • Private Health • Retail discounts • On-site gym • On-site nursery