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About the Role

The Head of Agentic AI and Data Science Research leads the FCA's applied AI capability, shaping and governing emerging technologies to support public interest objectives. This role serves as the research and design engine for AI, providing strategic leadership for AI research, model governance, data science capability, and horizon scanning. It identifies how AI can be applied safely and ethically to enhance regulatory intelligence, combat financial crime, and improve organizational effectiveness.

Responsibilities

Lead the FCA's Agentic AI and Data Science Research function, setting the strategic direction for AI research, advanced analytics, and emerging technologies.
Define and shape the FCA's medium and long-term approach to AI and Data Science, ensuring emerging technologies support smarter regulation, regulatory intelligence, financial crime reduction, and organizational effectiveness.
Establish and maintain the FCA's AI governance and research ethics framework, providing the standards, controls, and technical authority for the safe, ethical, and proportionate use of AI and advanced analytics.
Develop and maintain the FCA's medium and long-term AI and Data Science roadmap, translating research, horizon scanning, and emerging technologies into future organizational capability and priorities.
Lead the FCA's horizon scanning and AI intelligence capability, identifying emerging opportunities and risks, and translating them into strategic recommendations, policy insight, and investment priorities.
Lead the FCA's Data Science Profession; provide specialist AI and Data Science expertise, building professional standards, organizational readiness, and thought leadership while representing the FCA across regulatory, technology, and stakeholder communities.
Develop and deliver a long-term strategy for the department, aligning to broader divisional and organizational strategies.
Lead on performance, capability, and culture within the department, with a strong focus on operational excellence.
Deliver through others by relying on coaching, influencing, and negotiating skills with a range of internal and external stakeholders.
Build a strong and inclusive directorate that attracts and develops diverse talent.

Requirements

Significant experience of managing and influencing senior stakeholders internally and externally.
Experience leading specialist technical, analytical, AI, data science, or comparable multidisciplinary teams within a complex organization.
Strong understanding of AI, machine learning, data science, and advanced analytics, including associated opportunities, limitations, and risks.
Experience of developing governance frameworks, standards, operating models, or strategic roadmaps supporting the safe, ethical, and proportionate use of AI or advanced analytics.
Proven ability to translate complex technological developments into practical organizational outcomes, priorities, and investment decisions.
Experience developing strategic, tactical, and ethical approaches for deploying AI and advanced analytics in support of organizational objectives.
Proven horizon-scanning capability and ability to convert emerging technological developments into actionable strategies and business roadmaps.
Experience establishing AI governance, model assurance, research ethics, or responsible AI frameworks.
Ability to operate credibly as a senior technical advisor to executive and board-level stakeholders.
Exemplary communication, influencing, and stakeholder management skills.
Experience of role-modeling strong leadership behaviors in line with organizational values.
The ability to inclusively lead a group of talented individuals with a wide variety of professional expertise, experience, and backgrounds.
An open and flexible management style and the ability to communicate effectively to a wide-ranging audience with different skills and perspectives.
Advanced understanding of agentic AI, multi-agent systems, and emerging frontier AI technologies.
Experience within financial services, regulation, or another highly regulated environment.
Evidence of recognized thought leadership within AI, data science, or advanced analytics.
Experience representing an organization externally on AI strategy, governance, or innovation topics.
Familiarity with commercially available agentic AI platforms and tooling.
Applicants must demonstrate that they do not have other interests likely to conflict with their responsibilities as an employee of the FCA.
If successful, applicants will be required to obtain and retain SC Clearance.

Skills

AI
Machine learning
Data science
Advanced analytics
Agentic AI
Multi-agent systems
Frontier AI technologies
Horizon scanning
Strategic planning
Governance frameworks
Research ethics
Stakeholder management
Leadership
Communication
Influencing
Negotiation

Location

Edinburgh
Leeds
London

Work Type

Hybrid working model (minimum 40% in office, 50% for senior leaders)
From September 2026, minimum 50% in office (60% for Executive Director and Directors)

Experience Level

Senior leadership
Management
Influencing senior stakeholders
Leading specialist technical teams
Developing governance frameworks
Translating technological developments
Developing strategic approaches
Horizon scanning
Establishing AI governance
Senior technical advisor
Inclusive leadership

Salary/Compensations

London - £140,000 - £190,000
National - £126,000 - £171,000

Benefits

30 days holiday per year plus bank holidays
Private healthcare with Bupa
Non-contributory Pension of at least 8% of basic salary each month (increasing with age up to 12% at 35)
Life assurance of eight times basic salary
Income protection
Opportunity to create a personalized benefits package

About the Company

At the FCA, we're creating a fair and more resilient financial system, establishing more transparent relationships between financial services and customers, building trust in financial markets and protecting vulnerable consumers.
The FCA is on an exciting journey driving significant organisational, people, process, and AI and technology transformation to become a more forward-thinking, proactive regulator.
The FCA will use data more effectively to drive better regulatory decisions and build greater cohesion across its broad financial services remit.
Significant improvements in digital enablement, business intelligence, market data, and information management maturity are being pursued to maintain its position as a world leader in financial services regulation.
In March 2025, the FCA launched a new 5-year strategy to deepen trust, rebalance risk, support growth, and improve lives.
The FCA's four priorities are: Be a smarter regulator; Support sustained economic growth; Help consumers navigate their financial lives; Fight financial crime.

Equal Opportunity

The FCA is proud to be a Disability Confident Employer.
The FCA's ambition is to create a diverse and inclusive workplace that reflects the society it serves.
The FCA is committed to achieving greater diversity across all levels of its organization.
The FCA particularly welcomes applications from women, disabled, and minority ethnic candidates as under-represented groups.
As an inclusive employer, the FCA is open to considering flexible working arrangements, including job shares.