Future Tech Jobs Future Tech Jobs

AI Risk Governance Lead

MERJE
Dublin, Alba / Scotland, IV17 0YF, United Kingdom
Today
£130,000 – £160,000 pa

Salary

£130,000 – £160,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
3 Jun 2026 (Today)
Share
Save job
Create job alert

AI Risk Governance Lead, Europe

Dublin / Manchester / London - Hybrid

Reporting to: Chief Risk Officer, Europe
Dotted Line: Global Head of AI Risk Governance

Shape the Future of Responsible AI

As AI continues to transform financial services, we are seeking an experienced and forward-thinking leader to establish and drive AI Risk Governance across the European business. This is a unique opportunity to play a pivotal role in enabling the safe, responsible and scalable adoption of AI while ensuring compliance with evolving regulatory requirements, including the EU AI Act. Working at the intersection of risk, technology, operations and business strategy, you will help define how AI is governed across Europe and influence enterprise-wide AI governance practices globally.

The Opportunity

As AI Risk Governance Lead, Europe, you will lead the design, implementation and ongoing enhancement of the European AI Risk Governance framework. You will partner closely with AI Enablement teams, business leaders, Compliance, Legal, Technology and global governance functions to ensure AI solutions are deployed in a way that balances innovation, efficiency and risk management.

You will serve as the primary advisor to senior leadership on AI-related risk matters and play a critical role in preparing the organisation for the regulatory landscape emerging across Europe.

Key Responsibilities

AI Risk Management & Governance

  • Lead and continuously enhance the European AI Risk Governance framework, ensuring alignment with enterprise policies and regulatory requirements.
  • Establish governance processes, controls, approval workflows and reporting mechanisms that support responsible AI adoption at scale.
  • Chair the European AI Governance Committee and oversee day-to-day governance activities.
  • Conduct and oversee AI risk assessments, providing guidance to business owners on risk mitigation and control requirements.

EU AI Act Readiness & Regulatory Engagement

  • Lead the organisation's readiness activities for the EU AI Act and other emerging AI regulations.
  • Translate regulatory requirements into practical governance standards, controls and operating procedures.
  • Support Compliance and Legal teams in responding to regulatory enquiries, audits and data requests relating to AI.

Executive Leadership & Stakeholder Engagement

  • Act as a trusted advisor to the Chief Risk Officer and European Leadership Team on AI-related matters.
  • Deliver clear, actionable and outcome-focused reporting to executive committees and Boards.

Global Collaboration & Third-Party Oversight

  • Serve as the primary European liaison to the Global AI Risk Governance function.
  • Align regional governance practices with global standards while ensuring compliance with European requirements.

Essential Experience

  • Significant experience in risk management, governance, compliance, technology risk, model risk or AI governance within a regulated environment.
  • Proven experience designing and implementing governance frameworks for AI, advanced analytics or emerging technologies.
  • Strong understanding of AI risk domains, including model risk, data governance, privacy, operational risk, cyber risk and ethical AI considerations.
  • Deep knowledge of the EU AI Act and broader European regulatory expectations relating to AI and digital technologies.
  • Ability to navigate complex, multi-stakeholder environments and drive consensus.
  • Passion for responsible AI and emerging technologies.

Applicants must be located and eligible to work in the UK without sponsorship.

Please note, should feedback not be received within 28 days, unfortunately your application has been unsuccessful. In applying for this role, you may be registered on our database so we can contact you about suitable opportunities in future. Your data will be managed in accordance with our Privacy Policy, which can be found on our website.

If you would like this job advertisement in an alternative format, please contact MERJE directly.

Related Jobs

View all jobs

AI Governance Lead

VIQU IT Recruitment London, United Kingdom
£90,000 – £110,000 pa Hybrid

Tech, Data & AI Governance Manager

Arca Resourcing Bournemouth, United Kingdom
Hybrid

Tech, Data & AI Governance Manager

Arca Resourcing London, United Kingdom
Hybrid

AI Trainer

We Are Zenith Hebburn, Tyne & Wear, United Kingdom
Hybrid

Data Scientist

Vertor Consulting Group Ltd Letterkenny, Donegal County, Ireland
Hybrid

AI Security Engineer

Tenth Revolution Group Manchester, United Kingdom
£60,000 – £110,000 pa Hybrid

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.