Responsible AI Specialist (Governance, Ethics & Compliance)

Job description

As AI moves from experimentation to enterprise-wide adoption, doing it responsibly has become a commercial necessity, not just an ethical one. We are looking for a Responsible AI Specialist to ensure the solutions we design and the advice we give to clients are trustworthy, compliant, and fair by design. This is a role for someone who can translate principles (fairness, transparency, accountability) into practical frameworks that engineering teams and clients can actually apply. You will be a connective figure across the practice: advising delivery teams on ethical and regulatory risk, contributing to client governance conversations, and helping shape the standards by which we build. You do not need to be a deep technical engineer, but you must understand how AI systems work, where they fail, and what good governance looks like in practice, particularly as regulation such as the EU AI Act reshapes expectations. This is a growing area of strategic importance, offering significant scope to define our approach and to become a recognised voice in responsible AI. Required skills & experience: Define and implement Responsible AI frameworks, policies, and practical guidelines across the practice. Advise project teams on ethical AI design, risk identification, and mitigation throughout the delivery lifecycle. Conduct AI risk and impact assessments, and embed fairness, transparency, and accountability into solutions. Contribute to client conversations on AI governance, risk, and regulatory readiness. Monitor evolving regulation (EU AI Act, ICO guidance, emerging standards) and translate it into actionable guidance. Support internal capability building, raising awareness and competence in responsible AI across teams. Partner with architects and data scientists to operationalise governance — model documentation, evaluation, and guardrails. To qualify for this role, you must have: Minimum 3 years in AI ethics, governance, policy, risk, compliance, or a closely related regulatory field. Sound understanding of AI concepts, risks, and failure modes (deep technical implementation not required). Working knowledge of relevant regulation and standards, including the EU AI Act. Strong stakeholder communication skills, able to engage both technical teams and senior business audiences. Ability to turn principles into pragmatic, usable frameworks and processes. Ideally, you’ll also have, but not essential: Experience in consulting or advisory roles. Familiarity with assurance frameworks (ISO/IEC 42001, NIST AI RMF). Background in data protection, privacy, or model risk management. Exposure to fairness, bias, and explainability tooling. You must be: Willing to work on client sites, potentially for extended periods. Willing to travel for work purposes and be happy to stay away from home for extended periods. Eligible to work in the UK without restriction. #TalanUK #LI-HB1 Compensation & Benefits Package: BDP Plus – A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent. 25 days holiday + bank holidays. 5 days holiday buy/sell option. Private medical insurance. Life cover. Cycle to work scheme. Eligibility for company pension scheme (5% employer contribution, salary sacrifice option). Employee assistance programme. Bespoke online learning via Udemy for Business. Why join: Responsible AI is central to how we earn client trust and differentiate our practice. You will have the rare chance to shape this capability from an influential position, combining ethics, regulation, and real delivery in work that genuinely matters. As adoption and scrutiny grow, so will your impact and your profile. Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).