Talan
Responsible AI Specialist (Governance, Ethics & Compliance)
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Responsible AI Specialist (Governance, Ethics & Compliance)
Responsible AI Specialist – Talan Data x AI
About the Role
AI moves from experimentation to enterprise-wide adoption, but ensuring trust, compliance, and fairness has become critical. Talan Data x AI seeks a Responsible AI Specialist to embed ethical considerations into consulting solutions and advice. This is a strategic role with scope to shape standards and governance in enterprise AI deployments.
You don’t need deep technical engineering expertise, but you must grasp how AI systems operate, their failure modes, and what operational governance looks like—particularly as regulation like the EU AI Act evolves. You’ll be a connective bridge between engineering, governance, and clients, translating principles into actionable frameworks.
Core Responsibilities
- Define and operationalise Responsible AI frameworks in the practice, creating policies, guidelines, and risk managers tailored both for engineering teams and clients.
- Advise delivery teams on ethical AI design, tooling, and risk mitigation throughout the solution lifecycle.
- Conduct AI risk & ethical impact assessments—assessing fairness, bias, and operational risks—in tandem with system development.
- Contribute to client governance dialogues, ensuring conversations about AI fairness, transparency, and regulatory compliance are informed.
- Stay ahead of regulatory changes (e.g. EU AI Act, ICO guidance) and translate requirements into clear, actionable guidance for teams.
- Support internal capability-building by raising awareness of Responsible AI principles, tools, and reporting obligations across the organisation.
- Work with architects and data scientists to establish documentation, evaluation, and governance “guardrails” for models.
- Speak to the intersection of ethics, rationale, and practical deployment, ensuring delivery aligns with ethical and regulatory expectations.
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Required Skills & Experience
Essential
- Minimum 3 years of experience in AI ethics, governance, policy, compliance, or a related regulatory field.
- A fundamental understanding of AI risks and failure modes (deep coding/implementation not required).
- Working knowledge of AI legislation (with a primary focus on the EU AI Act) and key standards (adherence to ever-evolving frameworks).
- Stakeholder communication skills: ability to engage with both technical teams and senior executives to convey principles, policies, and risks.
- Capacity to turn high-level principles into pragmatic frameworks, reporting structures, and operational guidelines.
Ideal (but not compulsory)
- Consulting/advisory experience, particularly in scalable solutions for enterprise AI.
- Familiarity with assurance frameworks (ISO/IEC 42001, NIST AI Risk Management Framework).
- Background in data protection, privacy, or model risk management (though highly transferring).
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The role will involve:
- Being clients-site-based for extended periods.
- Regular business travel domestically or internationally.
Qualifications
Must-haves:
- Eligibility to work in the UK without restriction.
Organisation Highlight: Talan Data x AI
A leading data management and analytics consultancy fostering innovation through ML/AI, we work with industry leaders to unlock value from their data.
Compensation & Benefits Package
- BDP Plus: Earn points for a 3-month paid sabbatical or cash equivalent.
- Holiday entitlement: 25 days (plus UK bank holidays).
- 5 days buy/sell holiday adjustments.
- Private medical insurance.
- Life cover.
- Cycle-to-work scheme.
- Company pension (5% employer contribution, salary sacrifice option).
- Employee assistance programme.
- Udemy for Business learning.
Why Join?
This is an opportunity to shape an emerging, strategic capability for clients – balancing ethics, policy, and implementation in ever-increasing scrutiny, where outstanding contributors can also build internal reputation and shape Talan’s direction.
For a Responsible AI Specialist, this won’t just be a role—it’s a commitment to building trust in AI. And with the firm investing early in capability-building, early adopters in this area will be seeking out talented candidates.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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