Responsible AI Governance Analyst - Hybrid London

Contract type: Permanent
Location: London
Working style: Hybrid 50% home/office based

As part of RLAM’s AI acceleration, the AI Governance Analyst will play a pivotal role in shaping and operationalising AI governance across the organisation. Joining the Data & AI Transformation team, this role acts as the key interface for AI governance, working closely with colleagues in Risk, business teams, and the Group Data & AI Governance function.

You will be responsible for implementing practical AI controls, ensuring RLAM’s readiness and compliance with the EU AI Act, and translating high‑level principles into clear, actionable processes that can be adopted across the business. This role requires someone who understands both technology and business needs, applying governance in a pragmatic, hands‑on way rather than through purely theoretical or legalistic frameworks.

If you’re passionate about Responsible and Ethical AI, keen to build deep experience in a growing field, and excited by the chance to influence how a major asset manager uses AI safely and effectively, this is a fantastic opportunity to grow your career while making a real impact.About the role

Job description:
AI Governance Analyst

Contract type: Permanent
Location: London
Working style: Hybrid 50% home/office based

As part of RLAM’s AI acceleration, the AI Governance Analyst will play a pivotal role in shaping and operationalising AI governance across the organisation. Joining the Data & AI Transformation team, this role acts as the key interface for AI governance, working closely with colleagues in Risk, business teams, and the Group Data & AI Governance function.

You will be responsible for implementing practical AI controls, ensuring RLAM’s readiness and compliance with the EU AI Act, and translating high‑level principles into clear, actionable processes that can be adopted across the business. This role requires someone who understands both technology and business needs, applying governance in a pragmatic, hands‑on way rather than through purely theoretical or legalistic frameworks.

If you’re passionate about Responsible and Ethical AI, keen to build deep experience in a growing field, and excited by the chance to influence how a major asset manager uses AI safely and effectively, this is a fantastic opportunity to grow your career while making a real impact.About the role

AI Governance Framework

• Embed RL’s Data & AI Governance Framework, standards, ethics principles and procedures within RLAM.
• Maintain up‑to‑date policies, processes and templates aligned to legislation.
• Translate emerging AI regulations (e.g., EU AI Act, GDPR, CPRA) into practical guidance for RLAM teams.

AI Governance and Oversight

• Track and report AI metrics, including maintaining RLAM’s AI inventory.
• Maintain evidence of compliance with Responsible AI principles (e.g., fairness, explainability, human oversight).
• Record and escalate ethical issues; support AI risk identification and assurance reviews.
• Embed Responsible AI controls and governance checkpoints into AI workflows.

Organisational Culture & Data Ethics Literacy

• Deliver training and awareness activities across the business.
• Promote good AI ethics practice through day‑to‑day engagement.

About you

• Bachelor’s degree in business, data science, computer science, information management, statistics, ethics, law, or another relevant field.
• Understanding of Data & AI strategy, AI governance, risk, compliance, data protection or related role, and how this impacts a regulated environment.
• Familiarity with AI and machine learning concepts, including foundational understanding of ML models, LLMs, and their lifecycle.
• Understanding of key regulations and frameworks, including EU AI Act and UK GDPR; awareness of broader privacy, risk, and information security principles.
• Awareness of Responsible/ethical AI principles, including fairness, explainability, transparency, and human oversight; interest in deepening knowledge in these areas.
• Interest in developing further knowledge of data governance, AI ethics, and risk management as the regulatory and technological landscape evolves.
• Ability to build effective working relationships with internal stakeholders at all levels of seniority in a matrix operating model.
• Comfortable operating in ambiguous or evolving environments, with the ability to work effectively where processes are still being shaped, defined, or iterated, helping to bring structure and clarity as the function matures.
• Strong written, visual, and storytelling communication skills.

About Royal London Asset Management

Royal London Asset Management (RLAM), part of the Royal London Group, is one of the UK's leading fund management companies working with a wide range of clients across the globe to achieve their investment goals. Our long-term, client-driven focus means that we have a long-standing commitment to responsible investment. We act as responsible stewards of our clients’ capital, exercising their rights and influencing positive change.

Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve.

We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance.

Inclusion, diversity and belonging

We’re an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background.

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