180 AI Ethics Manager jobs in the United Kingdom

Position: Head of Data & AI Governance

Location: Hybrid - London

Employment Status: Full-Time, Permanent

Package: 105k-112k + bonus + company car allowance

Industry: Hospitality

Tria have partnered with a global leading hospitality company to hire a Head of Data & AI Governance. This is a key leadership role within the business and presents a fantastic opportunity to implement effective governance to manage data and AI risks, controls, and meeting compliance requirements.

As part of this brand-new role, you will be responsible for building good data and AI governance practices, and keeping up to date with emerging technologies, risks, and business practices.

The position will involve working across key areas such as:

• Strategy and Direction - Identify, build, and communicate effectively the need for the Data and AI Governance strategy and business plan.
• Internal Client Relationship Management - Manage relationships with internal clients and act as a business partner to them to address Data and AI governance issues effectively.
• Best Practice - develop and embed best practice for SSP for data and AI governance.
• Team Leadership - Set appropriate performance objectives for direct reports and hold them accountable for achieving these.
• Vendor/partner management - Work closely with vendors and partners to support delivery and ensure that work driven through vendors/partners is of high standards.

The company are looking for people with the following skills/experience:

• Proven history of delivering governance initiatives in large, complex, global organisations.
• Previous experience working in a relevant Data Governance position and demonstrable knowledge of AI governance.
• Deep knowledge of governance frameworks and best practice.
• Proven experience to leading teams and building a high-performance culture.
• Demonstrable interest in understanding emerging technologies and their impact on business especially in the context of data and AI governance.
• Excellent translation and stakeholder relationship building skills.
• Experience with using the Microsoft Azure and Databricks tech stack (very desirable).

The position is hybrid with the expectation to work 2/3 days from a central London office. This is a great opportunity to develop and shape a greenfield data & AI governance programme. Please apply ASAP with an up-to-date CV which showcases your experience in the above areas.

Head of Data Governance, AI Governance, governance frameworks, vendor management, team leadership, Microsoft Azure, Databricks, stakeholder management

Position: Head of Data & AI Governance

Location: Hybrid - London

Employment Status: Full-Time, Permanent

Package: 105k-112k + bonus + company car allowance

Industry: Hospitality

Tria have partnered with a global leading hospitality company to hire a Head of Data & AI Governance. This is a key leadership role within the business and presents a fantastic opportunity to implement effective governance to manage data and AI risks, controls, and meeting compliance requirements.

As part of this brand-new role, you will be responsible for building good data and AI governance practices, and keeping up to date with emerging technologies, risks, and business practices.

The position will involve working across key areas such as:

• Strategy and Direction - Identify, build, and communicate effectively the need for the Data and AI Governance strategy and business plan.
• Internal Client Relationship Management - Manage relationships with internal clients and act as a business partner to them to address Data and AI governance issues effectively.
• Best Practice - develop and embed best practice for data and AI governance.
• Team Leadership - Set appropriate performance objectives for direct reports and hold them accountable for achieving these.
• Vendor/partner management - Work closely with vendors and partners to support delivery and ensure that work driven through vendors/partners is of high standards.

The company are looking for people with the following skills/experience:

• Proven history of delivering governance initiatives in large, complex, global organisations.
• Previous experience working in a relevant Data Governance position and demonstrable knowledge of AI governance.
• Deep knowledge of governance frameworks and best practice.
• Proven experience to leading teams and building a high-performance culture.
• Demonstrable interest in understanding emerging technologies and their impact on business especially in the context of data and AI governance.
• Excellent translation and stakeholder relationship building skills.
• Experience with using the Microsoft Azure and Databricks tech stack (very desirable).

The position is hybrid with the expectation to work 2/3 days from a central London office. This is a great opportunity to develop and shape a greenfield data & AI governance programme. Please apply ASAP with an up-to-date CV which showcases your experience in the above areas.

Head of Data Governance, AI Governance, governance frameworks, vendor management, team leadership, Microsoft Azure, Databricks, stakeholder management

Position: Head of Data & AI Governance

Location: Hybrid - London

Employment Status: Full-Time, Permanent

Package: 105k-112k + bonus + company car allowance

Industry: Hospitality

Tria have partnered with a global leading hospitality company to hire a Head of Data & AI Governance. This is a key leadership role within the business and presents a fantastic opportunity to implement effective governance to manage data and AI risks, controls, and meeting compliance requirements.

As part of this brand-new role, you will be responsible for building good data and AI governance practices, and keeping up to date with emerging technologies, risks, and business practices.

The position will involve working across key areas such as:

• Strategy and Direction - Identify, build, and communicate effectively the need for the Data and AI Governance strategy and business plan.
• Internal Client Relationship Management - Manage relationships with internal clients and act as a business partner to them to address Data and AI governance issues effectively.
• Best Practice - develop and embed best practice for SSP for data and AI governance.
• Team Leadership - Set appropriate performance objectives for direct reports and hold them accountable for achieving these.
• Vendor/partner management - Work closely with vendors and partners to support delivery and ensure that work driven through vendors/partners is of high standards.

The company are looking for people with the following skills/experience:

• Proven history of delivering governance initiatives in large, complex, global organisations.
• Previous experience working in a relevant Data Governance position and demonstrable knowledge of AI governance.
• Deep knowledge of governance frameworks and best practice.
• Proven experience to leading teams and building a high-performance culture.
• Demonstrable interest in understanding emerging technologies and their impact on business especially in the context of data and AI governance.
• Excellent translation and stakeholder relationship building skills.
• Experience with using the Microsoft Azure and Databricks tech stack (very desirable).

The position is hybrid with the expectation to work 2/3 days from a central London office. This is a great opportunity to develop and shape a greenfield data & AI governance programme. Please apply ASAP with an up-to-date CV which showcases your experience in the above areas.

Head of Data Governance, AI Governance, governance frameworks, vendor management, team leadership, Microsoft Azure, Databricks, stakeholder management

• Develop, implement, and refine comprehensive AI ethics policies, principles, and best practices.
• Establish and manage the AI governance framework, ensuring compliance with evolving regulations and standards.
• Conduct ethical risk assessments and impact analyses for new AI models and applications.
• Collaborate closely with AI researchers, engineers, product managers, and legal teams to integrate ethical considerations throughout the AI lifecycle.
• Design and oversee training programs on AI ethics and responsible AI practices for internal teams.
• Monitor AI systems for fairness, bias, transparency, and accountability, and develop mitigation strategies.
• Stay abreast of global AI regulations, ethical guidelines, and industry trends, advising the company accordingly.
• Facilitate discussions and workshops on complex AI ethics issues.
• Develop clear communication strategies to articulate the company's commitment to responsible AI to internal and external stakeholders.
• Contribute to the company's thought leadership in the AI ethics domain.
• Investigate and address any ethical concerns or incidents related to AI systems.
• Advocate for human-centered AI development and deployment.

• Advanced degree (Master's or PhD) in a relevant field such as Computer Science, Philosophy, Law, Ethics, Public Policy, or a related discipline with a focus on technology.
• Proven experience in AI ethics, responsible AI, AI governance, or technology policy.
• Deep understanding of AI/ML concepts, algorithms, and their societal implications.
• Knowledge of relevant legal and regulatory frameworks concerning AI (e.g., GDPR, AI Act).
• Exceptional analytical, critical thinking, and problem-solving skills.
• Strong communication, presentation, and stakeholder management skills, with the ability to influence at all levels.
• Experience in developing and implementing policies and governance frameworks.
• Familiarity with fairness metrics, bias detection, and mitigation techniques in AI.
• Ability to translate complex ethical and technical concepts into actionable guidance.
• Demonstrated ability to work independently and collaboratively in a remote, fast-paced environment.
• Passion for promoting ethical and responsible technology development.

• Develop and implement comprehensive AI ethics guidelines and governance frameworks.
• Conduct ethical impact assessments for new AI projects and models.
• Identify and mitigate potential biases, fairness issues, and privacy risks in AI systems.
• Collaborate with data science, engineering, legal, and product teams to embed ethical considerations into the AI lifecycle.
• Stay abreast of evolving AI regulations, industry standards, and ethical best practices globally.
• Develop training materials and deliver workshops on AI ethics and responsible AI principles.
• Monitor and audit deployed AI systems for compliance with ethical guidelines and policies.
• Advise leadership on strategic decisions related to AI ethics and governance.
• Engage with external stakeholders, researchers, and policymakers on AI ethics matters.
• Contribute to thought leadership and public discourse on responsible AI.
• Manage documentation and reporting related to AI governance and compliance.

• Master's degree or PhD in a relevant field such as Computer Science, Philosophy, Law, Public Policy, Sociology, or a related discipline with a focus on AI ethics.
• Minimum of 4 years of experience in AI ethics, responsible AI, data governance, or technology policy.
• Deep understanding of AI concepts, machine learning principles, and their societal implications.
• Knowledge of ethical frameworks, risk assessment methodologies, and relevant regulations (e.g., GDPR, proposed AI Acts).
• Experience in developing and implementing governance policies and procedures.
• Excellent analytical, research, and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to influence and engage diverse stakeholders.
• Experience working in a technology-driven environment.
• Familiarity with fairness metrics, bias detection techniques, and explainable AI (XAI) concepts is highly desirable.

• Develop and implement AI ethics policies, guidelines, and governance frameworks.
• Assess the ethical implications of new AI technologies and applications.
• Conduct ethical risk assessments and develop mitigation strategies for AI systems.
• Advise development teams on ethical considerations throughout the AI lifecycle.
• Monitor emerging AI regulations and ensure organizational compliance.
• Promote ethical AI practices and foster a culture of responsible innovation.
• Collaborate with legal, compliance, engineering, and product teams to integrate ethical considerations into AI solutions.
• Develop training materials and conduct workshops on AI ethics and responsible AI.
• Engage with external stakeholders, including researchers, policymakers, and industry groups, on AI ethics matters.
• Stay abreast of cutting-edge research and debates in AI ethics, fairness, accountability, and transparency (FAT).

• Master's degree or Ph.D. in a relevant field such as Computer Science, Philosophy, Law, Ethics, or Public Policy with a focus on AI.
• Proven experience (3+ years) in AI ethics, responsible AI, AI governance, or technology policy.
• Strong understanding of AI/ML concepts, algorithms, and their societal impacts.
• Knowledge of ethical frameworks, bias detection, fairness metrics, and explainable AI (XAI).
• Excellent analytical, research, and problem-solving skills.
• Superb written and verbal communication skills, with the ability to explain complex concepts clearly.
• Experience working in a technology-driven environment, preferably within AI/ML.
• Ability to work independently and collaboratively in a fast-paced, innovative setting.
• Familiarity with the **Birmingham, West Midlands, UK** tech scene is a plus, but this role can be remote.
• A passion for ensuring technology serves humanity responsibly.

• Develop, implement, and refine AI ethics principles and governance policies for the organisation.
• Conduct ethical risk assessments and impact analyses for AI projects and products.
• Advise development teams on ethical considerations, bias mitigation, and fairness in AI systems.
• Stay abreast of global regulations, standards, and best practices in AI ethics and governance.
• Collaborate with legal, compliance, and product teams to ensure responsible AI deployment.
• Develop training materials and conduct workshops on AI ethics for internal stakeholders.
• Engage with external bodies, researchers, and policymakers on AI ethics issues.
• Contribute to the development of transparent and accountable AI systems.
• Monitor AI systems for ethical compliance and recommend corrective actions.
• Promote a culture of responsible innovation and ethical AI development throughout the organisation.

• Advanced degree (Master's or PhD) in a relevant field such as Ethics, Law, Computer Science, Philosophy, Public Policy, or a related discipline with a focus on AI/technology.
• Minimum of 5 years of experience working in AI ethics, responsible AI, technology governance, or a related field.
• Deep understanding of AI technologies, machine learning concepts, and their societal implications.
• Knowledge of ethical frameworks, fairness metrics, and bias mitigation techniques.
• Familiarity with relevant regulations (e.g., GDPR, AI Act) and industry standards.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills, with the ability to articulate complex ethical and technical concepts clearly.
• Proven ability to collaborate effectively with diverse teams, including technical and non-technical professionals.
• Experience in policy development or organisational governance is a plus.
• Ability to work effectively in a hybrid work model.

• Develop, implement, and enforce ethical guidelines, policies, and best practices for AI development and deployment.
• Conduct risk assessments and impact analyses related to AI systems, focusing on fairness, accountability, transparency, and privacy.
• Monitor and interpret evolving AI regulations and standards globally, advising on compliance strategies.
• Collaborate with AI researchers, engineers, legal teams, and business stakeholders to integrate ethical considerations into the AI lifecycle.
• Develop training materials and conduct awareness programs on AI ethics and responsible innovation for internal teams.
• Establish mechanisms for monitoring AI systems' ethical performance and addressing potential issues.
• Advise on data governance practices related to AI, ensuring data privacy and security compliance.
• Contribute to the development of AI governance frameworks, including accountability structures and decision-making processes.
• Stay abreast of cutting-edge research and developments in AI ethics, fairness, and trustworthy AI.
• Prepare reports and presentations for senior management and relevant committees on AI ethics and governance matters.

• Advanced degree (Master's or PhD) in Computer Science, Law, Philosophy, Ethics, Public Policy, or a related field with a specialization in AI ethics or governance.
• Minimum of 5 years of experience in AI ethics, responsible AI, data governance, or a related field, with a strong understanding of AI technologies.
• Proven experience in developing and implementing ethical frameworks or governance policies.
• Deep understanding of key ethical principles such as fairness, bias mitigation, transparency, accountability, and privacy.
• Familiarity with relevant regulations and guidelines (e.g., GDPR, AI Act proposals).
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders.
• Experience in risk assessment and management related to technology.
• Ability to work effectively in a hybrid environment, balancing remote and office-based work.