Financial Conduct Authority
L&D Consultant – AI and Data Upskilling
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L&D Consultant – AI and Data Upskilling
L&D Consultant – AI and Data Upskilling
Division: Human Resources Department: Organisational Capability
Salary:
- National (Edinburgh and Leeds): £43,300 – £65,000 per annum
- London: £46,400 – £69,500 per annum (Salary will be based on skills and experience) Role Grade: Senior Associate – Corporate
Contact:
- Benjamin Paulon (External) – benjamin.paulon@fca.org.uk
- Lauren McHale (Internal) – Lauren.McHale@fca.org.uk
Application Process: All applications must be submitted through our online portal. Emails and social media applications will not be accepted.
About The FCA And Team
The Financial Conduct Authority (FCA) regulates financial services in the UK, ensuring fair, thriving, and effective markets. By joining, you’ll contribute to protecting consumers, fostering economic growth, and shaping the future of UK financial services.
The Organisational Capability team collaborates with leadership to develop capabilities aligned with evolving priorities. They partner with the business to identify and deliver training and professional development, leveraging tools like employee surveys to inform effectiveness.
This exciting opportunity involves designing and delivering an integrated AI and data upskilling programme that aligns with the FCA’s evolving digital capability model.
Role Purpose
The FCA is transitioning from standalone data literacy/AI awareness to a capability-focused model that integrates AI, data, and business skills. This places training as a core enabler for safe, effective technology adoption alongside governance and tooling.
Over six months, the L&D Consultant will shape learning interventions to:
- Sequence skills development with tooling and technological capability
- Progress colleagues beyond baseline awareness to role-specific, applied AI/data use
- Support professional judgement, process thinking, and responsible automation/AI
The goal is to enhance AI maturity and a data-led mindset, ensuring colleagues confidently use technology to improve business processes and regulatory outcomes.
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Key Responsibilities
- Design integrated learning interventions combining AI literacy, data literacy, and core business skills, translating strategic concepts (e.g., tool readiness, professional judgement, safe AI use) into practical experiences.
- Sequence learning alongside tool/technology adoption, collaborating with HR, DTI, and business areas to ensure training reinforces trust, process autonomy, and workflow capability.
- Define and communicate tool-readiness requirements across roles, aligning capability development with organisational needs for scalable AI/data adoption.
- Develop scenario-based, role-specific learning grounded in real organisational workflows, enabling daily application of skills.
- Embed behavioural and judgement-focused learning for safe/ethical AI use, understanding of data governance, and manager role modelling.
- Pilot targeted learning with cohorts, evaluating effectiveness via behavioural change, process efficiency, and quality outcomes while refining approaches using data-driven feedback.
- Engage stakeholders (HR, DTI, business functions) to co-create scalable, strategically aligned and operationally relevant learning solutions.
- Contribute to organisation-wide AI, data, and digital upskilling by shaping integrated approaches combining training, tooling, and governance.
Minimum Requirements
- Proven experience designing learning interventions for digital/data/AI capability-building.
- Embedded learning within tech adoption/transformation programmes.
- Skills assessments and capability pathway definition.
Essential Requirements
- Integrated AI/data capability design: Experience combining data literacy, AI literacy, and business skills into learning programmes.
- Capability maturity-aligned learning: Design of interventions for awareness (Level 1); applied/automation thinking (Level 2); advanced workflow/agent design (Level 3).
- Scenario-based/role-specific learning design: Strong foundation in real-world, practical use-case development.
- Translation of abstract concepts: Generative AI, automation, and data application in business processes, not just solo capabilities.
- Working knowledge of tools: e.g., Copilot, agent-based systems, Power Automate, data visualisation platforms.
- Stakeholder engagement: Collaboration across HR, technology, and business teams; communication with senior leaders to align learning to strategic goals.
- Evaluation & continuous improvement: Learning effectiveness analysis and data-driven iteration.
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Benefits
- 25 days annual leave + bank holidays.
- ** Hybrid work model**:
- Currently, 40% minimum office attendance (default 50% for senior leaders).
- From September 2025, 50% office minimum (default 60% for Directors & Executive Directors).
- Non-contributory pension (8–12% matched) + eight-times salary life assurance.
- Bupa Private Healthcare, income protection, and 24/7 Employee Assistance Programme.
- 35 hours paid volunteering annually.
- Flexible benefits scheme tailored to personal needs.
Full details available on our benefits page.---
Culture & Values
Our work is built on diverse, inclusive values:
- Zero tolerance for discrimination/bias to foster innovation and excellence.
- Colleague differences drive better regulation and regulatory decisions.
- Custom support for disabilities/conditions – reach out early!
We recognise diverse working patterns and accommodate schedules like part-time or job-sharing where possible.
Disability Confident Employer: We progress applicants with disabilities/long-term conditions even if they don’t meet all criteria. In high-demand roles, we prioritise fit across our key skills.
Timeline
| Stage | Date |
|---|---|
| Advert Closes | 23:59 GMT, Sunday 12 July 2025 |
| CV Shortlisting | Tuesday 14 July 2025 |
| Interviews | Thursday 23 - Friday 24 July 2025 |
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