Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
The role As QHSSE Coordinator you are responsible for SEA-KIT s Quality, Health, Safety, Security and Environment (QHSSE) guidelines and for ensuring that the company is in compliance with published policies, supporting standards and legislative framework. You coordinate and lead the QHSSE assurance activities for SEA-KIT, ensuring high standards are achieved and maintained across the company and its activities, and specifically the build/fit-out of its uncrewed surface vessels (USVs). Lead investigations into HSE incidents and near misses and coordinate the actions and responses arising from these. Provide day-to-day QHSSE advice and active assistance by ensuring that good standards and practices are identified, developed, implemented and adhered to across SEA-KIT s design, build, testing and commissioning operations. Define, lead and oversee all Quality processes in SEA-KIT s design, build and testing of its products. Perform quality checks and instigate problem solving to investigate and resolve any issues identified. Review non-conformances identified during the build/fit-out and testing of SEA-KIT s USVs to improve the quality of the vessel design and build. Lead the company s ISO 9001 annual recertification, and oversee external reviews and audits to maintain certification. Lead the implementation of required management systems and processes required for additional ISO certifications. SEA-KIT s head office and manufacturing yard is based in Tollesbury, Essex. The role involves some travel within the UK and potentially to international locations. Responsibilities Generate and cultivate a strong culture of HSE awareness. Management, implementation, maintenance and continuous improvement of the company s management system. Ensure adherence to relevant procedures. Lead investigations into HSE incidents and near misses. Review all Hazard Observation Cards (HOCs) submitted. Coordinate and close out actions arising from incidents, near misses and HOCs. Generate and cultivate a culture of high quality workmanship and rigorous testing standards. Ensure adherence by SEA-KIT staff and contracted third parties to relevant procedures Ensure QA/QC processes are in place and followed by all relevant staff. Monitor and update the company on updates or changes to legal or regulatory requirements. Oversee updates to and reviews of the company s Quality and HSE processes and procedures. Review all non-conformances and ensure follow-up actions are implemented and closed out. Provide management updates at monthly HSE meetings and monthly/quarterly management team meetings, including reports for senior management as required. Who we re looking for You have the right to work in the UK. You hold a bachelor s degree (preferred). You have a track record in Quality and HSE systems and assurance, with relevant QHSSE experience in a manufacturing and/or project environment. Experience in the implementation and maintenance of a Quality Management System/ ISO certification is essential. You are well organised, with good analytical and critical thinking skills, and excellent verbal and written communication skills. You are flexible and will be available for weekend or out of hours work, and willing and able to travel as required. What we offer SEA-KIT provides a positive and dynamic work environment. You will gain immersive experience, where you will be at the forefront of cutting-edge technology, with opportunities to stretch and develop yourself whilst contributing to the emerging market of carbon-reducing uncrewed surface vessels.
15/05/2024
Full time
The role As QHSSE Coordinator you are responsible for SEA-KIT s Quality, Health, Safety, Security and Environment (QHSSE) guidelines and for ensuring that the company is in compliance with published policies, supporting standards and legislative framework. You coordinate and lead the QHSSE assurance activities for SEA-KIT, ensuring high standards are achieved and maintained across the company and its activities, and specifically the build/fit-out of its uncrewed surface vessels (USVs). Lead investigations into HSE incidents and near misses and coordinate the actions and responses arising from these. Provide day-to-day QHSSE advice and active assistance by ensuring that good standards and practices are identified, developed, implemented and adhered to across SEA-KIT s design, build, testing and commissioning operations. Define, lead and oversee all Quality processes in SEA-KIT s design, build and testing of its products. Perform quality checks and instigate problem solving to investigate and resolve any issues identified. Review non-conformances identified during the build/fit-out and testing of SEA-KIT s USVs to improve the quality of the vessel design and build. Lead the company s ISO 9001 annual recertification, and oversee external reviews and audits to maintain certification. Lead the implementation of required management systems and processes required for additional ISO certifications. SEA-KIT s head office and manufacturing yard is based in Tollesbury, Essex. The role involves some travel within the UK and potentially to international locations. Responsibilities Generate and cultivate a strong culture of HSE awareness. Management, implementation, maintenance and continuous improvement of the company s management system. Ensure adherence to relevant procedures. Lead investigations into HSE incidents and near misses. Review all Hazard Observation Cards (HOCs) submitted. Coordinate and close out actions arising from incidents, near misses and HOCs. Generate and cultivate a culture of high quality workmanship and rigorous testing standards. Ensure adherence by SEA-KIT staff and contracted third parties to relevant procedures Ensure QA/QC processes are in place and followed by all relevant staff. Monitor and update the company on updates or changes to legal or regulatory requirements. Oversee updates to and reviews of the company s Quality and HSE processes and procedures. Review all non-conformances and ensure follow-up actions are implemented and closed out. Provide management updates at monthly HSE meetings and monthly/quarterly management team meetings, including reports for senior management as required. Who we re looking for You have the right to work in the UK. You hold a bachelor s degree (preferred). You have a track record in Quality and HSE systems and assurance, with relevant QHSSE experience in a manufacturing and/or project environment. Experience in the implementation and maintenance of a Quality Management System/ ISO certification is essential. You are well organised, with good analytical and critical thinking skills, and excellent verbal and written communication skills. You are flexible and will be available for weekend or out of hours work, and willing and able to travel as required. What we offer SEA-KIT provides a positive and dynamic work environment. You will gain immersive experience, where you will be at the forefront of cutting-edge technology, with opportunities to stretch and develop yourself whilst contributing to the emerging market of carbon-reducing uncrewed surface vessels.
Sustainability Manager - Permanent - ASAP start XXX are a leading global workplace technology integrator, providing AV and managed services across multiple client partnerships globally. As the Head of Environmental Social Governance at XXX, you will provide visionary leadership in shaping and implementing ESG and sustainability strategies. Your role will encompass comprehensive reporting, including ESG, Scope 1, 2, and 3, as well as managing compliance with the BSI 14001 Standard. After establishing the ESG objectives and targets, the in-house Sustainability Manager will need to continuously monitor the outcome and report as per the deliverables in the responsibilities below. Key Responsibilities ESG & Sustainability Strategy: develop, execute, and oversee a comprehensive ESG and sustainability strategy aligned with our corporate mission, values, and long-term objectives whilst ensuring alignment with global standards and investor expectations. Scope 1, 2 and 3 reporting: oversee the collection, analysis, and reporting of Scope 1, 2 & 3 data to demonstrate environmental impact and progress. BSI 14001 Standard Management: manage the continuous improvement of BSI 14001 Environmental Management System (EMS) to maintain certification. Stakeholder Engagement: foster relationships with internal and external stakeholders, including employees, clients, suppliers, and industry peers, to promote ESG and sustainability collaboration and support. Sustainability Initiatives: plan and execute sustainability programs, emphasising resource efficiency, responsible sourcing, and circular economy principles. Ethical Practices: ensure ethical practices throughout our operations, including fair labour, diversity, and anti-corruption measures. Community Engagement: develop partnerships with local communities, contributing to philanthropic activities, volunteerism, and community-based projects. ESG & Sustainability Reporting: prepare and publish annual ESG and sustainability reports, adhering to relevant regulations, global reporting frameworks, and investor disclosure requirements. Risk Management: identify and mitigate ESG and sustainability-related risks through proactive measures and strategy development. Innovation & Best Practices: stay informed of ESG and sustainability trends, emerging best practices, and industry benchmarks, and integrate these into our initiatives. Supplier Engagement: work closely with our suppliers to promote sustainable practices, ensure ethical sourcing, and responsible production methods. Ensure improvement is measured and tracked. Glidepath to Net-Zeo: provide a transition programme identifying clear milestones and industry recognised certifications including EcoVadis, SBTI etc. Requirements Bachelor's degree in ESG, sustainability, business, or a related field (Masters' degree preferred). Leadership experience in ESG & Sustainability, preferably within the workplace technology industry. Demonstrated experience in ESG reporting, Scope 1, 2 & 3 emissions, and BSI 14001 management. Exceptional communication, stakeholder management, and leadership skills. Strong analytical and problem-solving abilities. Ability to inspire and lead cross-function teams toward ESG & sustainability goals. Familiarity with ESG reporting and relevant certifications. A strong commitment to advancing social responsibility and sustainability as drivers of positive change. Genuine passion for ESG and eager to become part of our ambitious plans. Proven track record and experience creating and deploying ESG processes. Experience in sustainability management and strategy development. If you are looking for your next permanent position, contact me on the details below.
15/05/2024
Full time
Sustainability Manager - Permanent - ASAP start XXX are a leading global workplace technology integrator, providing AV and managed services across multiple client partnerships globally. As the Head of Environmental Social Governance at XXX, you will provide visionary leadership in shaping and implementing ESG and sustainability strategies. Your role will encompass comprehensive reporting, including ESG, Scope 1, 2, and 3, as well as managing compliance with the BSI 14001 Standard. After establishing the ESG objectives and targets, the in-house Sustainability Manager will need to continuously monitor the outcome and report as per the deliverables in the responsibilities below. Key Responsibilities ESG & Sustainability Strategy: develop, execute, and oversee a comprehensive ESG and sustainability strategy aligned with our corporate mission, values, and long-term objectives whilst ensuring alignment with global standards and investor expectations. Scope 1, 2 and 3 reporting: oversee the collection, analysis, and reporting of Scope 1, 2 & 3 data to demonstrate environmental impact and progress. BSI 14001 Standard Management: manage the continuous improvement of BSI 14001 Environmental Management System (EMS) to maintain certification. Stakeholder Engagement: foster relationships with internal and external stakeholders, including employees, clients, suppliers, and industry peers, to promote ESG and sustainability collaboration and support. Sustainability Initiatives: plan and execute sustainability programs, emphasising resource efficiency, responsible sourcing, and circular economy principles. Ethical Practices: ensure ethical practices throughout our operations, including fair labour, diversity, and anti-corruption measures. Community Engagement: develop partnerships with local communities, contributing to philanthropic activities, volunteerism, and community-based projects. ESG & Sustainability Reporting: prepare and publish annual ESG and sustainability reports, adhering to relevant regulations, global reporting frameworks, and investor disclosure requirements. Risk Management: identify and mitigate ESG and sustainability-related risks through proactive measures and strategy development. Innovation & Best Practices: stay informed of ESG and sustainability trends, emerging best practices, and industry benchmarks, and integrate these into our initiatives. Supplier Engagement: work closely with our suppliers to promote sustainable practices, ensure ethical sourcing, and responsible production methods. Ensure improvement is measured and tracked. Glidepath to Net-Zeo: provide a transition programme identifying clear milestones and industry recognised certifications including EcoVadis, SBTI etc. Requirements Bachelor's degree in ESG, sustainability, business, or a related field (Masters' degree preferred). Leadership experience in ESG & Sustainability, preferably within the workplace technology industry. Demonstrated experience in ESG reporting, Scope 1, 2 & 3 emissions, and BSI 14001 management. Exceptional communication, stakeholder management, and leadership skills. Strong analytical and problem-solving abilities. Ability to inspire and lead cross-function teams toward ESG & sustainability goals. Familiarity with ESG reporting and relevant certifications. A strong commitment to advancing social responsibility and sustainability as drivers of positive change. Genuine passion for ESG and eager to become part of our ambitious plans. Proven track record and experience creating and deploying ESG processes. Experience in sustainability management and strategy development. If you are looking for your next permanent position, contact me on the details below.
Project Leader months + +On site in Broughton - Chester +Inside IR35 Skills: +Project Management tools +Understanding of Wing Operational processes Accountabilities include: Provide Industrial assessments (MOD) at all project milestone gates ensuring that all Broughton Plant requirements are included. Define & monitor an industrial top level project plan for each modification and/or new development project Ensure the alignment of all plans with central programme requirements and individual functional stakeholders Contribute to resource planning workload and funding requirements Ensure all plans are produced and managed to a level of detail to ensure the accurate delivery of time, cost, quality and safety requirements Ensure regular engagement and communication with programme work package managers/MFT leaders to enable the management and appropriate escalation of project risks and opportunities. Apply a risk & opportunity review process including the maintenance of a local risk & opportunities register and reporting chart. Exploit opportunities to introduce improvements to the product industrial system and identify potential design improvements, without introducing risk to the programme. Chair the weekly governance process inclusive of project leaders and key stakeholders. Lead and develop a team of Local Representatives Develop and deploy, with Operational support, communication and awareness training into the Operations team (including line-side support functions) and engagement of the operational stakeholders Provide Local Representative support and leadership of issue resolution during development builds and regular progress reports. Support the OSWX team governance process inclusive of improving the ways of working through Project Management principles Deputise for Single Aisle HO Industrialization Main Activities Drive a "Safety First" culture in the team Chairing Project reviews Manage Project plans Project Industrial Assessments Chair Risk & Opportunity reviews Project governance review participant Project milestone review contributor. Design review participant. Coordinate & manage industrial trials Support Flight Test A/C refurbishment programmes Managing Local Representative (BC) resource Monitoring Balance Scorecard performance Deputising for Head Of Industrialisation. Outputs Successful industrialization of all new developments, modifications and flight test A/Crefurbishment via:- Project review action tracker Project Plan Risk & opportunities register. Project issue tracker. Stakeholder Engagement and Management Operational Communication packs. Project closure documentation. Lessons learned and continuous improvement Blue collar development plan. Skillset and Experience: Essential: Understanding of Wing Operational processes Good communication and negotiating skills. Experience and successful demonstration of managing similar MFT projects. Application of project management tools and techniques
14/05/2024
Full time
Project Leader months + +On site in Broughton - Chester +Inside IR35 Skills: +Project Management tools +Understanding of Wing Operational processes Accountabilities include: Provide Industrial assessments (MOD) at all project milestone gates ensuring that all Broughton Plant requirements are included. Define & monitor an industrial top level project plan for each modification and/or new development project Ensure the alignment of all plans with central programme requirements and individual functional stakeholders Contribute to resource planning workload and funding requirements Ensure all plans are produced and managed to a level of detail to ensure the accurate delivery of time, cost, quality and safety requirements Ensure regular engagement and communication with programme work package managers/MFT leaders to enable the management and appropriate escalation of project risks and opportunities. Apply a risk & opportunity review process including the maintenance of a local risk & opportunities register and reporting chart. Exploit opportunities to introduce improvements to the product industrial system and identify potential design improvements, without introducing risk to the programme. Chair the weekly governance process inclusive of project leaders and key stakeholders. Lead and develop a team of Local Representatives Develop and deploy, with Operational support, communication and awareness training into the Operations team (including line-side support functions) and engagement of the operational stakeholders Provide Local Representative support and leadership of issue resolution during development builds and regular progress reports. Support the OSWX team governance process inclusive of improving the ways of working through Project Management principles Deputise for Single Aisle HO Industrialization Main Activities Drive a "Safety First" culture in the team Chairing Project reviews Manage Project plans Project Industrial Assessments Chair Risk & Opportunity reviews Project governance review participant Project milestone review contributor. Design review participant. Coordinate & manage industrial trials Support Flight Test A/C refurbishment programmes Managing Local Representative (BC) resource Monitoring Balance Scorecard performance Deputising for Head Of Industrialisation. Outputs Successful industrialization of all new developments, modifications and flight test A/Crefurbishment via:- Project review action tracker Project Plan Risk & opportunities register. Project issue tracker. Stakeholder Engagement and Management Operational Communication packs. Project closure documentation. Lessons learned and continuous improvement Blue collar development plan. Skillset and Experience: Essential: Understanding of Wing Operational processes Good communication and negotiating skills. Experience and successful demonstration of managing similar MFT projects. Application of project management tools and techniques
Perm - Senior Natural Gas Operator - Oil Trading - Copenhagen, Denmark Global Oil Trading company requires Senior Natural Gas Operator to work with Global Operations and Trading teams. The role Review and comment on contracts/tenders to ensure consistency with the trade ticket/recap. Execute daily operational activities: Conduct daily position checks for all European hubs Check and circulate send-outs for all terminals Executes a trade for transport/gas with their scheduling counterpart, keeping Traders in copy of confirms whenever changes to schedules, or pipeline restrictions indicate an unbalanced position, logging the trade and entering in corporate resource management platform. Appoint third party providers in line with group policy Liaise/coordinate with Finance, providing them with accurate and timely data needed for issuing of L/C's and obtaining P/Us Send daily nominations for within-day and day ahead; highlight imbalances to traders (if any) for all hubs within scope of role and act on the market to Handle all aspects of customs exportation/importation where applicable Ensure timely invoicing/payment of cargoes Monitor accounts receivables and control issue of interest invoices where applicable Maintain good records on all operations Ensure that corporate resources management platform is updated regularly and at all times reflects the latest information available/exceptions are kept to a minimum Monitor and advise deals desk of all costs related with each transaction (P&L awareness) Ensure operations are optimised to best commercial advantage, ensuring all contractual obligations are met (eg minimising/maximising of volumes/reducing exposures). Participate in short and long-term transport capacity auctions after consulting with Trading team. Send cost analysis for decision-making purposes. Assisting in storage auctions preparations, being able to analyse and process documentary, financial and other requirements and communicate them to all involved teams. Negotiate the Terminal sendouts with the Terminal Operators within contractual realms to maximise the value for the natural gas book. Manage storage logistics, handling day-to-day ops, checking storage levels, booking capacities for ops, understanding potential for penalties. Closing swap trades directly with c/p and matching trades on daily basis with all c/p's. Update storage injections/withdrawals on regular basis to gauge proper start of day position for each day along with P&L reconciliation for deals desk. Complete storage reconciliations; identify and investigate loss/gain differences. Understand regulatory changes and potential impacts to business. Maximise recoveries and ensure that all claims to third parties are correctly documented and presented. Secure payment of third party claims. Maintain good working practises with other trade support divisions - claims/deals desk/trade finance/chartering Establish and/or maintain good working relationships with contractual operations counterparts/third party service providers on a regular basis Participate in setting-up new business, checking GTC's for each hub and escalating risks and red flags accordingly. Training of less experienced members of the operations team to develop and increase knowledge/commercial awareness. Follow strictly internal procedures and company's policies. Adhere to Code of Conduct/HSEC Policy and Business Principles. Identify and escalate operational issues to Regional Manager seeking guidance as appropriate. Possess technical skills to improve processes and build automation Your background: Able to interpret the operational requirements of each contract, can review and comment on operational aspects of same. Understands the basic legal framework supporting natural gas contracts Has a good understanding of common pipeline operations and terminology. Able to ensure satisfactory commercial operation of natural gas flows under minimal supervision. Has a good understanding of relevant market infrastructure and business practices, has experience in communications with pipeline and storage operators Has experience in handling pipeline transport and storage capacity auctions. Has a good understanding of the different types of financial instruments and their uses. If interested in this position please send me your updated CV or email for a confidential call.
14/05/2024
Full time
Perm - Senior Natural Gas Operator - Oil Trading - Copenhagen, Denmark Global Oil Trading company requires Senior Natural Gas Operator to work with Global Operations and Trading teams. The role Review and comment on contracts/tenders to ensure consistency with the trade ticket/recap. Execute daily operational activities: Conduct daily position checks for all European hubs Check and circulate send-outs for all terminals Executes a trade for transport/gas with their scheduling counterpart, keeping Traders in copy of confirms whenever changes to schedules, or pipeline restrictions indicate an unbalanced position, logging the trade and entering in corporate resource management platform. Appoint third party providers in line with group policy Liaise/coordinate with Finance, providing them with accurate and timely data needed for issuing of L/C's and obtaining P/Us Send daily nominations for within-day and day ahead; highlight imbalances to traders (if any) for all hubs within scope of role and act on the market to Handle all aspects of customs exportation/importation where applicable Ensure timely invoicing/payment of cargoes Monitor accounts receivables and control issue of interest invoices where applicable Maintain good records on all operations Ensure that corporate resources management platform is updated regularly and at all times reflects the latest information available/exceptions are kept to a minimum Monitor and advise deals desk of all costs related with each transaction (P&L awareness) Ensure operations are optimised to best commercial advantage, ensuring all contractual obligations are met (eg minimising/maximising of volumes/reducing exposures). Participate in short and long-term transport capacity auctions after consulting with Trading team. Send cost analysis for decision-making purposes. Assisting in storage auctions preparations, being able to analyse and process documentary, financial and other requirements and communicate them to all involved teams. Negotiate the Terminal sendouts with the Terminal Operators within contractual realms to maximise the value for the natural gas book. Manage storage logistics, handling day-to-day ops, checking storage levels, booking capacities for ops, understanding potential for penalties. Closing swap trades directly with c/p and matching trades on daily basis with all c/p's. Update storage injections/withdrawals on regular basis to gauge proper start of day position for each day along with P&L reconciliation for deals desk. Complete storage reconciliations; identify and investigate loss/gain differences. Understand regulatory changes and potential impacts to business. Maximise recoveries and ensure that all claims to third parties are correctly documented and presented. Secure payment of third party claims. Maintain good working practises with other trade support divisions - claims/deals desk/trade finance/chartering Establish and/or maintain good working relationships with contractual operations counterparts/third party service providers on a regular basis Participate in setting-up new business, checking GTC's for each hub and escalating risks and red flags accordingly. Training of less experienced members of the operations team to develop and increase knowledge/commercial awareness. Follow strictly internal procedures and company's policies. Adhere to Code of Conduct/HSEC Policy and Business Principles. Identify and escalate operational issues to Regional Manager seeking guidance as appropriate. Possess technical skills to improve processes and build automation Your background: Able to interpret the operational requirements of each contract, can review and comment on operational aspects of same. Understands the basic legal framework supporting natural gas contracts Has a good understanding of common pipeline operations and terminology. Able to ensure satisfactory commercial operation of natural gas flows under minimal supervision. Has a good understanding of relevant market infrastructure and business practices, has experience in communications with pipeline and storage operators Has experience in handling pipeline transport and storage capacity auctions. Has a good understanding of the different types of financial instruments and their uses. If interested in this position please send me your updated CV or email for a confidential call.
- Head of Site Reliability/Infrastructure - Glasgow/Hybrid - Excellent Salary & Benefits Package - Immediate Start Fantastic new opportunity to the market to join our Glasgow-based Fintech client, specialising in managed Cloud provision. The business is entering a growth phase and now recruiting for a seasoned Head of Site Reliability with an infrastructure background, as they continue to grow their tech team from their newly opened, state-of-the-art tech hub in Glasgow. This is a key hire and the first in this space, as the business begins to build out their new Site Reliability team. The successful candidate will be responsible for building out the function, providing true leadership and co-ordination, whilst having a breadth of technical know-how. This opportunity is truly greenfield in nature and offers a blank canvas to implement plans and procedures with the aim of improving the infrastructure reliability, security and functionality with automation at the forefront. Reporting into the COO, you will be a natural leader of people and teams, with the goal of collaborating on the design, deployment, and maintenance of the global infrastructure and to provide system support for the Security, Network Operations and Development teams. The role would ideally suit an experienced automation-focused individual with comprehensive working infrastructure knowledge of Windows and Linux environments (RHEL, Ubuntu), as well as network operating systems experience. Commercial use of Infrastructure-As-Code (IAC) tooling such as Terraform and Ansible is also beneficial. Candidates who are proactive and dedicated are preferred, as this role is highly visible. You will also be a significant contributor to the team's IT success, supporting and delivering infrastructure and solutions and working directly with data centre, network, software development and project teams alike. Key Skills & Experience Proven experience in a site reliability engineering, DevOps, or similar role, with multiple years in a leadership position. Extensive background in cloud computing services (AWS, Google Cloud or Azure) Container orchestration technology exposure (eg Kubernetes). Proficiency in automation Knowledge of Scripting languages (Python, Shell or Go). Knowledge of Cyber Security principles and best practices. Knowledge of regulatory environments and compliance standards Exceptional problem-solving skills Ability to work under pressure in a fast-paced environment. Excellent communication and leadership abilities Strong track-record of building and motivating high-performing teams. Bachelor's or master's degree in Computer Science, Engineering, or a related field.The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below) The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below)
13/05/2024
Full time
- Head of Site Reliability/Infrastructure - Glasgow/Hybrid - Excellent Salary & Benefits Package - Immediate Start Fantastic new opportunity to the market to join our Glasgow-based Fintech client, specialising in managed Cloud provision. The business is entering a growth phase and now recruiting for a seasoned Head of Site Reliability with an infrastructure background, as they continue to grow their tech team from their newly opened, state-of-the-art tech hub in Glasgow. This is a key hire and the first in this space, as the business begins to build out their new Site Reliability team. The successful candidate will be responsible for building out the function, providing true leadership and co-ordination, whilst having a breadth of technical know-how. This opportunity is truly greenfield in nature and offers a blank canvas to implement plans and procedures with the aim of improving the infrastructure reliability, security and functionality with automation at the forefront. Reporting into the COO, you will be a natural leader of people and teams, with the goal of collaborating on the design, deployment, and maintenance of the global infrastructure and to provide system support for the Security, Network Operations and Development teams. The role would ideally suit an experienced automation-focused individual with comprehensive working infrastructure knowledge of Windows and Linux environments (RHEL, Ubuntu), as well as network operating systems experience. Commercial use of Infrastructure-As-Code (IAC) tooling such as Terraform and Ansible is also beneficial. Candidates who are proactive and dedicated are preferred, as this role is highly visible. You will also be a significant contributor to the team's IT success, supporting and delivering infrastructure and solutions and working directly with data centre, network, software development and project teams alike. Key Skills & Experience Proven experience in a site reliability engineering, DevOps, or similar role, with multiple years in a leadership position. Extensive background in cloud computing services (AWS, Google Cloud or Azure) Container orchestration technology exposure (eg Kubernetes). Proficiency in automation Knowledge of Scripting languages (Python, Shell or Go). Knowledge of Cyber Security principles and best practices. Knowledge of regulatory environments and compliance standards Exceptional problem-solving skills Ability to work under pressure in a fast-paced environment. Excellent communication and leadership abilities Strong track-record of building and motivating high-performing teams. Bachelor's or master's degree in Computer Science, Engineering, or a related field.The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below) The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below)
Facilities Officer| 23 Months (Outside IR35)| Onsite (Edinburgh)| Harvey Nash's client is recruiting for a Facilities Officer on a 23 month contract. Please note this role is full time, but part time (3 days a week) may be considered. Main Responsibilities Assist the Assistant Head: Operations in maintaining the estate, covering approximately 20,000 square feet across two floors. Coordinate and manage planned and reactive maintenance work, while maintaining associated records and ensuring yearly compliance. Take responsibility for Health & Safety activities, including First Aid, Fire Safety, and DSE assessments/monitoring. Manage equipment and supplies to meet requisite Health & Safety standards. Conduct quarterly H&S inspections and associated reporting/record-keeping. Update and deliver H&S inductions and annual training. Support the development, implementation, and review of risk assessments for all office-related services. Manage requests received into the Facilities and Health & Safety mailbox, responding within agreed SLAs and prioritizing effectively. Act as liaison for Inquiry HSLOs and Fire Marshals, organizing relevant training and attending meetings to address feedback and concerns. Work with the building management team/landlord to ensure compliance with H&S regulations under the supervision of the Assistant Head: Operations. Handle administrative functions related to subcontractors, permits to work, risk assessments, and method statements. Key Skills Technical Knowledge: Excellent customer services skills with a proven background in properties/facilities management or front of house services. IOSH/NEBOSH Qualification or relevant professional experience Excellent administrative skills including experience of Microsoft Office suite. Experience carrying out Health & Safety audits/inspections. A strong knowledge of H&S regulations, legal, and best practice requirementsTop of Form People Skills: Excellent interpersonal and communication skills Strong problem-solving skills with ability to work autonomously and with a flair for continuous improvement. Proven ability to prioritise own workload. Flexibility in working hours to meet business needs. This role falls outside of IR35 and is onsite site working in the Edinburgh office. Please note that for this role you must have or be happy to get a Basic Disclosure Scotland. To apply, please send your CV using the link.
13/05/2024
Project-based
Facilities Officer| 23 Months (Outside IR35)| Onsite (Edinburgh)| Harvey Nash's client is recruiting for a Facilities Officer on a 23 month contract. Please note this role is full time, but part time (3 days a week) may be considered. Main Responsibilities Assist the Assistant Head: Operations in maintaining the estate, covering approximately 20,000 square feet across two floors. Coordinate and manage planned and reactive maintenance work, while maintaining associated records and ensuring yearly compliance. Take responsibility for Health & Safety activities, including First Aid, Fire Safety, and DSE assessments/monitoring. Manage equipment and supplies to meet requisite Health & Safety standards. Conduct quarterly H&S inspections and associated reporting/record-keeping. Update and deliver H&S inductions and annual training. Support the development, implementation, and review of risk assessments for all office-related services. Manage requests received into the Facilities and Health & Safety mailbox, responding within agreed SLAs and prioritizing effectively. Act as liaison for Inquiry HSLOs and Fire Marshals, organizing relevant training and attending meetings to address feedback and concerns. Work with the building management team/landlord to ensure compliance with H&S regulations under the supervision of the Assistant Head: Operations. Handle administrative functions related to subcontractors, permits to work, risk assessments, and method statements. Key Skills Technical Knowledge: Excellent customer services skills with a proven background in properties/facilities management or front of house services. IOSH/NEBOSH Qualification or relevant professional experience Excellent administrative skills including experience of Microsoft Office suite. Experience carrying out Health & Safety audits/inspections. A strong knowledge of H&S regulations, legal, and best practice requirementsTop of Form People Skills: Excellent interpersonal and communication skills Strong problem-solving skills with ability to work autonomously and with a flair for continuous improvement. Proven ability to prioritise own workload. Flexibility in working hours to meet business needs. This role falls outside of IR35 and is onsite site working in the Edinburgh office. Please note that for this role you must have or be happy to get a Basic Disclosure Scotland. To apply, please send your CV using the link.
*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
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