Head of Client Services Opportunity Lynx Recruitment is currently working with a global creative and media agency who are looking for an experienced Client Director to join their team. You will have the opportunity to work in a huge range of industries and with some of the biggest brands across the globe. In this role, you will be a trusted advisor to clients, ensure client satisfaction, optimise resourcing, and identify growth opportunities. You'll adapt processes for profitability, lead internal coordination, and drive collaboration. Additionally, you'll contribute to new business pitches, showcasing the agency's capabilities to secure new opportunities. Key responsibilities of this role include: Lead and develop the Account Management Team to boost productivity, revenue and growth Oversee financial processes, including budget management, invoicing, and reporting, to ensure accuracy and compliance Foster strong client relationships through regular communication, feedback, and strategic guidance Identify growth opportunities within existing clients and drive revenue growth Manage a high-performing team, stepping in for agency-client relationships as needed About the candidate: Must be degree educated with either a minimum of a 2:1 or Merit 9+ years managing paid media accounts Extensive Performance Marketing Leadership across various channels and experience optimising media campaigns Ability to develop media strategies, influence clients and build strong relationships Applicants must be degree educated within an IT or Business-related field.
20/05/2024
Full time
Head of Client Services Opportunity Lynx Recruitment is currently working with a global creative and media agency who are looking for an experienced Client Director to join their team. You will have the opportunity to work in a huge range of industries and with some of the biggest brands across the globe. In this role, you will be a trusted advisor to clients, ensure client satisfaction, optimise resourcing, and identify growth opportunities. You'll adapt processes for profitability, lead internal coordination, and drive collaboration. Additionally, you'll contribute to new business pitches, showcasing the agency's capabilities to secure new opportunities. Key responsibilities of this role include: Lead and develop the Account Management Team to boost productivity, revenue and growth Oversee financial processes, including budget management, invoicing, and reporting, to ensure accuracy and compliance Foster strong client relationships through regular communication, feedback, and strategic guidance Identify growth opportunities within existing clients and drive revenue growth Manage a high-performing team, stepping in for agency-client relationships as needed About the candidate: Must be degree educated with either a minimum of a 2:1 or Merit 9+ years managing paid media accounts Extensive Performance Marketing Leadership across various channels and experience optimising media campaigns Ability to develop media strategies, influence clients and build strong relationships Applicants must be degree educated within an IT or Business-related field.
We are currently looking on behalf of one of our important clients for a Head of Laboratory Test Development & Validation (German Speaking). The role is a permanent position based in Bern Canton & comes with good home office allowance. Your Role: Oversee the personnel & technical management of a specialist group of 4 Engineers & 3 Laboratory Technicians. Develop & validate new physical measurement & testing methods. Provide technical support for Design Verification Laboratories. Hold responsibility for the operation & maintenance of a Development Laboratory. Plan, coordinate & execute measurement & testing orders in relation to Product Innovation & Product Development. Place, award & support contracts to external service providers if required. Your Skills: At least 5 years of relevant professional experience including experience within Development Laboratories. Skilled & experienced in Leading teams. Ideally experienced in Design Verification & the Medical Technology sector. Your Profile: Completed relevant Scientific or Technical University Degree. Communicative, strong leadership skills & solution-oriented. Fluent English & good German language skills (to at least B2 Level) are a mandatory requirement.
20/05/2024
Full time
We are currently looking on behalf of one of our important clients for a Head of Laboratory Test Development & Validation (German Speaking). The role is a permanent position based in Bern Canton & comes with good home office allowance. Your Role: Oversee the personnel & technical management of a specialist group of 4 Engineers & 3 Laboratory Technicians. Develop & validate new physical measurement & testing methods. Provide technical support for Design Verification Laboratories. Hold responsibility for the operation & maintenance of a Development Laboratory. Plan, coordinate & execute measurement & testing orders in relation to Product Innovation & Product Development. Place, award & support contracts to external service providers if required. Your Skills: At least 5 years of relevant professional experience including experience within Development Laboratories. Skilled & experienced in Leading teams. Ideally experienced in Design Verification & the Medical Technology sector. Your Profile: Completed relevant Scientific or Technical University Degree. Communicative, strong leadership skills & solution-oriented. Fluent English & good German language skills (to at least B2 Level) are a mandatory requirement.
Change Management - Operations - London - Hybrid - £70k (FTC) An Operations Change Management VP is required by a leading Financial Markets Infrastructure Company based in London. The role is joining the team that is responsible for all changes impacting Operations; including the systems Operations staff use and the services they support. This is a Hybrid role requiring 2 days in the office each week. Reporting to the Head of Operational Change Management you will act as the Operations Stakeholder for all change Management. This will include ensuring that the correct Controls are in place and engaging with delivery teams to ensure smooth deployment and good governance. Key Skills & Experience: Strong Change Management Good Exposure to both Operational and Business Analysis Six Sigma (ideally) This environment is heavily regulated financial services client, so experience in a similar landscape is preferred. The role is an initial 12 month FTC In return the client will offer a starting base salary up to £70k plus bonus and benefits, and a great opportunity with prospects Change Management - Operations - London - Hybrid - £70k (FTC) Kite Human Capital - Hire Better We are unashamedly focused on working with only the best people, who care about customer value and maintain a fantastic working reputation. If you are someone that is committed to working hard to achieve great results, views challenge as an exciting opportunity and wants to work in some of the best possible assignments then please get in touch, we'd love to help you find your next position. We pride ourselves on rock solid integrity and honesty, and place client value at the centre of every decision we make. 2023 - Winner Most Innovative Recruitment Agency' 2023 - Winner Best Banking/Professional Service' 2018 - Winner Best Client Service' 2017 - Winner Agency of The Year' 2017 - Winner Banking & Financial Services Agency' 2016 - Winner Banking & Financial Services Agency'
20/05/2024
Change Management - Operations - London - Hybrid - £70k (FTC) An Operations Change Management VP is required by a leading Financial Markets Infrastructure Company based in London. The role is joining the team that is responsible for all changes impacting Operations; including the systems Operations staff use and the services they support. This is a Hybrid role requiring 2 days in the office each week. Reporting to the Head of Operational Change Management you will act as the Operations Stakeholder for all change Management. This will include ensuring that the correct Controls are in place and engaging with delivery teams to ensure smooth deployment and good governance. Key Skills & Experience: Strong Change Management Good Exposure to both Operational and Business Analysis Six Sigma (ideally) This environment is heavily regulated financial services client, so experience in a similar landscape is preferred. The role is an initial 12 month FTC In return the client will offer a starting base salary up to £70k plus bonus and benefits, and a great opportunity with prospects Change Management - Operations - London - Hybrid - £70k (FTC) Kite Human Capital - Hire Better We are unashamedly focused on working with only the best people, who care about customer value and maintain a fantastic working reputation. If you are someone that is committed to working hard to achieve great results, views challenge as an exciting opportunity and wants to work in some of the best possible assignments then please get in touch, we'd love to help you find your next position. We pride ourselves on rock solid integrity and honesty, and place client value at the centre of every decision we make. 2023 - Winner Most Innovative Recruitment Agency' 2023 - Winner Best Banking/Professional Service' 2018 - Winner Best Client Service' 2017 - Winner Agency of The Year' 2017 - Winner Banking & Financial Services Agency' 2016 - Winner Banking & Financial Services Agency'
CA SME Clearance required: SC Duration: 3 months, potential ext up to 12 months Location: UK based with some presence at client site in Warwick, Farnborough/Corsham, On site 4-5 days a week IR35 Status: Mandated PAYE only We are heading up a recruitment drive for a global consultancy that require a Certificate Authority SME to join them on a major Defence project that's based in 4/5 days per week in Warwick, Farnborough & Corsham. Job Description: Solution Design Architect/Subject Matter Expert (SME) with experience of designing and building Certificate Management services, Microsoft Active Directory Certificate Services (AD CS) public key infrastructure (PKI), use of On and off-line root (CA) service as endpoint trust anchors and using certificates within a CNI environment. - Experience in installation, configuration and troubleshooting Windows root and issuing CA - Ability to create certificate template and issue certificates - Understanding of CA/PKI aspects, IIS, Windows OS, OSCP, cert validation points - Identity Access Management (IAM) experience including; User and Group Management, Security and Access Control, Directory Replication and Availability, use of Lightweight Directory Access Protocol (LDAP) and Kerberos Authentication. - Defining Group Policy and secure user/group integration with a Backup and Recovery Solution. The design will need to contain the steps for CA & IAM build and deployment into a CNI environment so SME level knowledge is required. - Conduct testing and reporting result
20/05/2024
Project-based
CA SME Clearance required: SC Duration: 3 months, potential ext up to 12 months Location: UK based with some presence at client site in Warwick, Farnborough/Corsham, On site 4-5 days a week IR35 Status: Mandated PAYE only We are heading up a recruitment drive for a global consultancy that require a Certificate Authority SME to join them on a major Defence project that's based in 4/5 days per week in Warwick, Farnborough & Corsham. Job Description: Solution Design Architect/Subject Matter Expert (SME) with experience of designing and building Certificate Management services, Microsoft Active Directory Certificate Services (AD CS) public key infrastructure (PKI), use of On and off-line root (CA) service as endpoint trust anchors and using certificates within a CNI environment. - Experience in installation, configuration and troubleshooting Windows root and issuing CA - Ability to create certificate template and issue certificates - Understanding of CA/PKI aspects, IIS, Windows OS, OSCP, cert validation points - Identity Access Management (IAM) experience including; User and Group Management, Security and Access Control, Directory Replication and Availability, use of Lightweight Directory Access Protocol (LDAP) and Kerberos Authentication. - Defining Group Policy and secure user/group integration with a Backup and Recovery Solution. The design will need to contain the steps for CA & IAM build and deployment into a CNI environment so SME level knowledge is required. - Conduct testing and reporting result
Sanderson Government & Defence
Gateshead, Tyne And Wear
Principal Engineer Gateshead (Onsite) £50k - £65k DOE Role details: We are working with a Defence Consultancy who provide innovative and complex defence solutions for land, sea and air. They design and build ruggedised electronic solutions for a wide range of applications and purposes. They are looking for a Principal Engineer to lead on all technical and engineering matters. Providing design, development, delivery and in-service support on a range of systems including Communications Information Services, Fighting Vehicles and Electronic Warfare. Responsibilities: Providing day to day technical and engineering consultancy. Liaison with clients, suppliers, Project Managers, senior managers, and other product & project stakeholders. Line Management of designated staff. Providing authorisation of documents and drawings pertinent to the designated field/product/project. Preparation of, and leading of various Reviews Requirements: Technical capability and an awareness of new developments in the associated field of engineering Ability to attend and lead client meetings and present visual presentations. Ability to breakdown tasks into a SOW and delegate tasks accordingly Competent to use a configuration management application to approve and direct document production. Eligibility: To be considered for the role, you must be eligible for UK Security Clearance.
20/05/2024
Full time
Principal Engineer Gateshead (Onsite) £50k - £65k DOE Role details: We are working with a Defence Consultancy who provide innovative and complex defence solutions for land, sea and air. They design and build ruggedised electronic solutions for a wide range of applications and purposes. They are looking for a Principal Engineer to lead on all technical and engineering matters. Providing design, development, delivery and in-service support on a range of systems including Communications Information Services, Fighting Vehicles and Electronic Warfare. Responsibilities: Providing day to day technical and engineering consultancy. Liaison with clients, suppliers, Project Managers, senior managers, and other product & project stakeholders. Line Management of designated staff. Providing authorisation of documents and drawings pertinent to the designated field/product/project. Preparation of, and leading of various Reviews Requirements: Technical capability and an awareness of new developments in the associated field of engineering Ability to attend and lead client meetings and present visual presentations. Ability to breakdown tasks into a SOW and delegate tasks accordingly Competent to use a configuration management application to approve and direct document production. Eligibility: To be considered for the role, you must be eligible for UK Security Clearance.
SIEM/Incident SME Location: Hybrid onsite in one of the following locations 2/3 days per week - Corsham, Portsmouth or Northallerton Duration: 6 months MUST BE PAYE THROUGH UMBRELLA We are heading up a recruitment drive for a global consultancy that require a DV Cleared SIEM/Incident SME to join them on a major project that's based onsite 4/5 days in either Warwick, Farnborough or Corsham. Role Description : Main Tech Skills required are ELK (Elastic, Logstash, Kibana) and Tanium The Cyber role is to join a growing security team responsible for designing, delivering and maintaining operational cybersecurity capabilities. Conducting pro-active, risk-based, protective monitoring on priority C4IS/networks to identify internal and external cyber-threats/attacks. This position involves a broad range of skills, including the development and mentoring of Junior Analysts, monitoring networks to actively remediate unauthorised activities. Your role Develop and integrate security event monitoring and incident management services. Respond to security incidents as they occur as part of an incident response team. Implement metrics and dashboards to give visibility of the Enterprise infrastructure. Use of the SOAR platform to assist with playbook automation and case management capabilities to streamline team processes and tools. Produce documentation to ensure the repeatability and standardisation of security operating procedures. Develop additional investigative methods using the SOC's software toolsets to enhance recognition opportunities for specific analysis. Maintain a baseline of system security according to latest threat intelligence and evolving trends. Participate in root cause analysis of incidents in conjunction with engineers across the enterprise. Provide Subject Matter Expertise (SME) on a broad range of information security standards and best practices. Offer strategic and tactical security guidance including valuation requirement of technical controls. Be part of the CRM process Liaise with the SOC engineers to maintain up-to-date dashboards of security alerts, to allow the organisation to better respond to an incident. Document, validate and create operational processes and procedures to help develop the SOC. Assist in identifying, prioritising, and coordinating the protection of critical cyber defence infrastructure and key resources. Build, install, configure, and test dedicated cyber defence hardware. Support Junior Analysts to manage SOC systems. Previous experience of Enterprise ICS/network architectures and technologies Experience and knowledge of SIEM solutions; having the ability to identify use cases and their creation, their deployment and tuning. Experience as a mentor/coach to Junior Analysts Your profile Previous experience of utilising the MITRE ATT&CK and Cyber Kill Chain frameworks Skilled in maintaining Microsoft directory services. Skilled in using virtualisation software. Knowledge of key security frameworks (eg ISO, NIST 800-53, 800-171, 800-172, C2M2) Excellent communication skills Experience of writing Defence/Government documentation Desirable Qualifications: Broad Spectrum Cyber Course (SANS SEC401 or SEC501 or equivalent) SIEM Design, Architecture and Analyst Course (SANS SEC455 or SEC555 or equivalent) Advanced Analyst Course (SANS SEC503 or equivalent)
20/05/2024
Project-based
SIEM/Incident SME Location: Hybrid onsite in one of the following locations 2/3 days per week - Corsham, Portsmouth or Northallerton Duration: 6 months MUST BE PAYE THROUGH UMBRELLA We are heading up a recruitment drive for a global consultancy that require a DV Cleared SIEM/Incident SME to join them on a major project that's based onsite 4/5 days in either Warwick, Farnborough or Corsham. Role Description : Main Tech Skills required are ELK (Elastic, Logstash, Kibana) and Tanium The Cyber role is to join a growing security team responsible for designing, delivering and maintaining operational cybersecurity capabilities. Conducting pro-active, risk-based, protective monitoring on priority C4IS/networks to identify internal and external cyber-threats/attacks. This position involves a broad range of skills, including the development and mentoring of Junior Analysts, monitoring networks to actively remediate unauthorised activities. Your role Develop and integrate security event monitoring and incident management services. Respond to security incidents as they occur as part of an incident response team. Implement metrics and dashboards to give visibility of the Enterprise infrastructure. Use of the SOAR platform to assist with playbook automation and case management capabilities to streamline team processes and tools. Produce documentation to ensure the repeatability and standardisation of security operating procedures. Develop additional investigative methods using the SOC's software toolsets to enhance recognition opportunities for specific analysis. Maintain a baseline of system security according to latest threat intelligence and evolving trends. Participate in root cause analysis of incidents in conjunction with engineers across the enterprise. Provide Subject Matter Expertise (SME) on a broad range of information security standards and best practices. Offer strategic and tactical security guidance including valuation requirement of technical controls. Be part of the CRM process Liaise with the SOC engineers to maintain up-to-date dashboards of security alerts, to allow the organisation to better respond to an incident. Document, validate and create operational processes and procedures to help develop the SOC. Assist in identifying, prioritising, and coordinating the protection of critical cyber defence infrastructure and key resources. Build, install, configure, and test dedicated cyber defence hardware. Support Junior Analysts to manage SOC systems. Previous experience of Enterprise ICS/network architectures and technologies Experience and knowledge of SIEM solutions; having the ability to identify use cases and their creation, their deployment and tuning. Experience as a mentor/coach to Junior Analysts Your profile Previous experience of utilising the MITRE ATT&CK and Cyber Kill Chain frameworks Skilled in maintaining Microsoft directory services. Skilled in using virtualisation software. Knowledge of key security frameworks (eg ISO, NIST 800-53, 800-171, 800-172, C2M2) Excellent communication skills Experience of writing Defence/Government documentation Desirable Qualifications: Broad Spectrum Cyber Course (SANS SEC401 or SEC501 or equivalent) SIEM Design, Architecture and Analyst Course (SANS SEC455 or SEC555 or equivalent) Advanced Analyst Course (SANS SEC503 or equivalent)
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
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
16/05/2024
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
Finance Manager (Opex) - Fully Qualified Permanent Theale| Hybrid (3 days per week onsite) The Finance Manager is one of two Business partners to budget owners for their overheads/operating costs, with a well-developed ability to discuss and explain financial matters with non-financial colleagues of all levels. The Finance Manager is responsible for the budgeting, accounting and effective control of overheads and operating costs, and non-operational capex. The role also encompasses specialist finance activities including payroll, and headcount reporting and analysis. What you will be doing? Responsible for managing all budgeting, reforecasting and long-term planning processes for overheads and non-operational capex. This includes engaging the Senior Leadership Team and their direct reports to agree & review activities and costs. Headcount reporting and analysis Responsibility for timely and accurate month end close and reporting for overheads and IT capex in line with timetable. Effective, insightful, and accurate reporting and review of all overheads and non-operational capex costs with budget holders to ensure effective control of spend. Balance sheet reconciliations for any balance sheet codes owned by this role Finance review and approval over payroll; liaison with outsourced payroll processing supplier Support the HR Team with Short Term Incentive Plan and Long Term Incentive Plan calculations; present results of calculations to the Senior Leadership team. Coordinate with external professional services firm, supplying appropriate information to support the calculation and submission of the annual PAYE Settlement Agreement submission Manage and calculate Provision for significant legal disputes Other ad-hoc support including employee tax compliance including liaison with external professional services suppliers. (eg, P11Ds) Ensuring optimal finance system configuration regarding workflow and coding of overheads/non-operational capex What is needed for the role? Fully Qualified (ACCA|ACA|CIMA) Minimum of 5 years PQE Advanced Excel Skills Business partnering at a senior level Strong financial & management accounting knowledge & experience Experience in budgeting/forecasting processes Understanding of operational finance process and control Desired for the role: Experience property and/or Telco industries Agresso ERP application software Relevant degree (eg business, finance, economics) Project People is acting as an Employment Agency in relation to this vacancy.
16/05/2024
Full time
Finance Manager (Opex) - Fully Qualified Permanent Theale| Hybrid (3 days per week onsite) The Finance Manager is one of two Business partners to budget owners for their overheads/operating costs, with a well-developed ability to discuss and explain financial matters with non-financial colleagues of all levels. The Finance Manager is responsible for the budgeting, accounting and effective control of overheads and operating costs, and non-operational capex. The role also encompasses specialist finance activities including payroll, and headcount reporting and analysis. What you will be doing? Responsible for managing all budgeting, reforecasting and long-term planning processes for overheads and non-operational capex. This includes engaging the Senior Leadership Team and their direct reports to agree & review activities and costs. Headcount reporting and analysis Responsibility for timely and accurate month end close and reporting for overheads and IT capex in line with timetable. Effective, insightful, and accurate reporting and review of all overheads and non-operational capex costs with budget holders to ensure effective control of spend. Balance sheet reconciliations for any balance sheet codes owned by this role Finance review and approval over payroll; liaison with outsourced payroll processing supplier Support the HR Team with Short Term Incentive Plan and Long Term Incentive Plan calculations; present results of calculations to the Senior Leadership team. Coordinate with external professional services firm, supplying appropriate information to support the calculation and submission of the annual PAYE Settlement Agreement submission Manage and calculate Provision for significant legal disputes Other ad-hoc support including employee tax compliance including liaison with external professional services suppliers. (eg, P11Ds) Ensuring optimal finance system configuration regarding workflow and coding of overheads/non-operational capex What is needed for the role? Fully Qualified (ACCA|ACA|CIMA) Minimum of 5 years PQE Advanced Excel Skills Business partnering at a senior level Strong financial & management accounting knowledge & experience Experience in budgeting/forecasting processes Understanding of operational finance process and control Desired for the role: Experience property and/or Telco industries Agresso ERP application software Relevant degree (eg business, finance, economics) Project People is acting as an Employment Agency in relation to this vacancy.
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.
Lorien are supporting an established government savings bank that are expanding their proposition within the Retail Banking part of the organisation. With this, they are looking for a Head of Retail Strategy and Innovation. The role will be responsible for leading innovation and strategic thinking for customers, products and services. You will focus on the Design and Management of the banks future propositions, features and customer experience, whilst remaining in partnership with the Retail Services Senior Leadership team. The organisation are evolving and going through significant growth, 'Digital First' is their main objective whilst supporting their customers and design these services to be inclusive and accessible for all. As they aim to increase the pace at which they deliver change and enhancements to services and products, maintaining alignment with customer expectations and the increased competition in the UK savings market. Based on this, the role will include: Streamline processes. Clear process and ownership Greater focus on ongoing service innovation utilising insights and trends from wider industry. Strategy and proposition development should become less iterative and responsive, with documents reviewed and enhancements made on a more regular basis. Own the development of the organisations strategy long-term customer/Retail strategy Identify new Digital innovations to enhance customer experience including technical opportunities offered by suppliers to enrich customer offering and challenge current thinking Understand target customers, needs and barriers, and the market and economic outlook to predict future needs Define innovation approach for customer experience opportunities and problems Be the senior internal specialist for innovation and design thinking methodologies Skills Required: Strong communication skills - written and verbal - You will represent the business across the various levels and within the industry Strong Stakeholder engagement and relationships Customer Centric/Focus Strategic Thinking Forward Thinking Leadership Experience: Working in a innovation, strategy or digital environment Leading teams through transformation projects Agile Salary is paying between £70,000 - £77,000 with 27% pension, 25 days annual leave, 9 day fortnight scheme, performance related bonus plus further benefits. Deadline for applications is Sunday 19th May. Please apply if you feel you match on the above skills and would like to understand more about the role. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
15/05/2024
Full time
Lorien are supporting an established government savings bank that are expanding their proposition within the Retail Banking part of the organisation. With this, they are looking for a Head of Retail Strategy and Innovation. The role will be responsible for leading innovation and strategic thinking for customers, products and services. You will focus on the Design and Management of the banks future propositions, features and customer experience, whilst remaining in partnership with the Retail Services Senior Leadership team. The organisation are evolving and going through significant growth, 'Digital First' is their main objective whilst supporting their customers and design these services to be inclusive and accessible for all. As they aim to increase the pace at which they deliver change and enhancements to services and products, maintaining alignment with customer expectations and the increased competition in the UK savings market. Based on this, the role will include: Streamline processes. Clear process and ownership Greater focus on ongoing service innovation utilising insights and trends from wider industry. Strategy and proposition development should become less iterative and responsive, with documents reviewed and enhancements made on a more regular basis. Own the development of the organisations strategy long-term customer/Retail strategy Identify new Digital innovations to enhance customer experience including technical opportunities offered by suppliers to enrich customer offering and challenge current thinking Understand target customers, needs and barriers, and the market and economic outlook to predict future needs Define innovation approach for customer experience opportunities and problems Be the senior internal specialist for innovation and design thinking methodologies Skills Required: Strong communication skills - written and verbal - You will represent the business across the various levels and within the industry Strong Stakeholder engagement and relationships Customer Centric/Focus Strategic Thinking Forward Thinking Leadership Experience: Working in a innovation, strategy or digital environment Leading teams through transformation projects Agile Salary is paying between £70,000 - £77,000 with 27% pension, 25 days annual leave, 9 day fortnight scheme, performance related bonus plus further benefits. Deadline for applications is Sunday 19th May. Please apply if you feel you match on the above skills and would like to understand more about the role. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Harvey Nash are delighted to be recruiting for a Lead D365 Engineer on behalf of our client. With a diverse workforce and a long-standing tradition of delivering top-tier services, this organisation has established itself as a leader in its field. We are currently seeking a Lead Engineer to spearhead a team dedicated to developing, customising, and maintaining their Microsoft, Sales, and CRM 365 solutions. Requirements: Five or more years of experience in developing, customizing, configuring, and maintaining Microsoft D365. Proven expertise in extending/managing data schema changes within the common data model (Microsoft Dataverse/Higher Education Accelerator). Demonstrated ability to analyze and diagnose issues in Dynamics 365. Proficiency in web services, REST APIs, and integration tools. Sound understanding of Microsoft Azure and its integrations with Dynamics 365. Key Attributes: Experience in supporting and mentoring team members to facilitate personal and professional growth. Strong initiative, coupled with excellent organizational, planning, and self-management skills. Effective communication and interpersonal skills, with the ability to engage with diverse collaborators and stakeholders at all levels. Outstanding problem-solving and analytical abilities. Proficient verbal and written communication skills. Capability to lead and motivate a team effectively. Desired Skills: Microsoft Dynamics 365 CRM certifications (eg, MB-200, MB-400). Familiarity with the Power Platform, including Power Apps and Power Automate. Competence in programming languages/frameworks such as C#, JavaScript, and React. Experience in developing complex reports and code in tools like Power BI. Knowledge or experience in Agile (Scrum) and Azure DevOps methodologies. In addition to a challenging and rewarding role, this organisation offers a competitive salary of up to 80k along with an attractive benefits package, including generous holiday entitlement, pension schemes, and opportunities for personal and professional development. Please apply today.
15/05/2024
Full time
Harvey Nash are delighted to be recruiting for a Lead D365 Engineer on behalf of our client. With a diverse workforce and a long-standing tradition of delivering top-tier services, this organisation has established itself as a leader in its field. We are currently seeking a Lead Engineer to spearhead a team dedicated to developing, customising, and maintaining their Microsoft, Sales, and CRM 365 solutions. Requirements: Five or more years of experience in developing, customizing, configuring, and maintaining Microsoft D365. Proven expertise in extending/managing data schema changes within the common data model (Microsoft Dataverse/Higher Education Accelerator). Demonstrated ability to analyze and diagnose issues in Dynamics 365. Proficiency in web services, REST APIs, and integration tools. Sound understanding of Microsoft Azure and its integrations with Dynamics 365. Key Attributes: Experience in supporting and mentoring team members to facilitate personal and professional growth. Strong initiative, coupled with excellent organizational, planning, and self-management skills. Effective communication and interpersonal skills, with the ability to engage with diverse collaborators and stakeholders at all levels. Outstanding problem-solving and analytical abilities. Proficient verbal and written communication skills. Capability to lead and motivate a team effectively. Desired Skills: Microsoft Dynamics 365 CRM certifications (eg, MB-200, MB-400). Familiarity with the Power Platform, including Power Apps and Power Automate. Competence in programming languages/frameworks such as C#, JavaScript, and React. Experience in developing complex reports and code in tools like Power BI. Knowledge or experience in Agile (Scrum) and Azure DevOps methodologies. In addition to a challenging and rewarding role, this organisation offers a competitive salary of up to 80k along with an attractive benefits package, including generous holiday entitlement, pension schemes, and opportunities for personal and professional development. Please apply today.
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.
The Information Manager will be a key figure within our Analytics department in the public sector, based in Cardiff. They will oversee data management, ensuring accuracy, compliance and utilisation of information to drive strategic decisions. Client Details Our client is a large public sector company in the transport industry. With over 1,000 employees, they are headquartered in Cardiff and committed to improving transport services across Wales. Description Transport for Wales (TfW) is the not-for-profit company driving forward the Welsh Government's vision of a high-quality, safe, integrated, affordable and accessible transport network in Wales. Our mission is to 'Keep Wales Moving' by providing customer-focused services, expert advice, and infrastructure investment. The Information Management of the IT & Digital Services Directorate will lead, shape and delivery information management and records management in TfW Enterprise Information Management System The Head of Information Management will support the development of a wider strategy within TfW by creating an Information Management strategy, standards and governance to ensure compliance with legal and regulatory requirements reflects best practice, is in line with our strategic objectives and continuous improvement. Develop and implement data management strategies and processes. Maintain data governance and compliance with GDPR. Oversee the collection, storage, and analysis of business data. Collaborate with IT team to ensure data security and solve technical issues. Prepare detailed reports for stakeholders based on data analysis. Identify and recommend new ways to streamline business processes. Ensure data accuracy and consistency across all platforms. Liaise with different departments to gather information and fulfil data requirements. Profile A successful Information Manager should have: * Strong knowledge of information protection, information security, automation, information architecture and governance principals * Excellent strategic thinking and advisory skills * Ability to collaborate effectively with cross-functional teams. * In depth understanding of industry best practices and emerging trends in information management * A thorough understanding and demonstrable experience of working on the Public Records Act and other relevant regulations * Strong knowledge on Microsoft environment on the use of Microsoft as an Enterprise Information Management System. Job Offer A competitive salary in the region of £54,000 per annum. Generous holiday entitlement. Commitment to professional development and career progression. A positive and collaborative company culture, with a focus on employee wellbeing. We strongly encourage talented individuals who believe they can meet the expectations of this role to apply. This is an excellent opportunity to grow professionally within the public sector in Cardiff.
15/05/2024
Full time
The Information Manager will be a key figure within our Analytics department in the public sector, based in Cardiff. They will oversee data management, ensuring accuracy, compliance and utilisation of information to drive strategic decisions. Client Details Our client is a large public sector company in the transport industry. With over 1,000 employees, they are headquartered in Cardiff and committed to improving transport services across Wales. Description Transport for Wales (TfW) is the not-for-profit company driving forward the Welsh Government's vision of a high-quality, safe, integrated, affordable and accessible transport network in Wales. Our mission is to 'Keep Wales Moving' by providing customer-focused services, expert advice, and infrastructure investment. The Information Management of the IT & Digital Services Directorate will lead, shape and delivery information management and records management in TfW Enterprise Information Management System The Head of Information Management will support the development of a wider strategy within TfW by creating an Information Management strategy, standards and governance to ensure compliance with legal and regulatory requirements reflects best practice, is in line with our strategic objectives and continuous improvement. Develop and implement data management strategies and processes. Maintain data governance and compliance with GDPR. Oversee the collection, storage, and analysis of business data. Collaborate with IT team to ensure data security and solve technical issues. Prepare detailed reports for stakeholders based on data analysis. Identify and recommend new ways to streamline business processes. Ensure data accuracy and consistency across all platforms. Liaise with different departments to gather information and fulfil data requirements. Profile A successful Information Manager should have: * Strong knowledge of information protection, information security, automation, information architecture and governance principals * Excellent strategic thinking and advisory skills * Ability to collaborate effectively with cross-functional teams. * In depth understanding of industry best practices and emerging trends in information management * A thorough understanding and demonstrable experience of working on the Public Records Act and other relevant regulations * Strong knowledge on Microsoft environment on the use of Microsoft as an Enterprise Information Management System. Job Offer A competitive salary in the region of £54,000 per annum. Generous holiday entitlement. Commitment to professional development and career progression. A positive and collaborative company culture, with a focus on employee wellbeing. We strongly encourage talented individuals who believe they can meet the expectations of this role to apply. This is an excellent opportunity to grow professionally within the public sector in Cardiff.