AI Portfolio and Pipeline Lead in Leeds

AI Portfolio and Pipeline Lead in Leeds

Leeds Full-Time 72100 - 90000 € / year (est.) No home office possible
Financial Conduct Authority

At a Glance

  • Tasks: Lead AI projects, transforming complex ideas into actionable strategies and managing a dynamic team.
  • Company: Join the FCA, a key player in regulating UK financial services.
  • Benefits: Enjoy 28 days leave, hybrid work, private healthcare, and a non-contributory pension.
  • Other info: Diverse and inclusive culture with flexible working options available.
  • Why this job: Make a real impact on the future of finance with innovative AI solutions.
  • Qualifications: Experience in leading complex projects and engaging senior stakeholders is essential.

The predicted salary is between 72100 - 90000 € per year.

Division: Data, Technology and Innovation

Department: AI Product Delivery

Salary: National (Edinburgh and Leeds) ranging from £72,100 to £90,000 and London from £79,300 to £100,000 per annum (salary offered will be based on skills and experience)

This role is graded as: Technical Specialist – Regulatory

About The FCA And Team

We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you’ll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services. The Data, Technology and Innovation (DTI) division enables the FCA to be a digital‑first, data‑led smart regulator by delivering a secure, agile, and cost‑effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the FCA), the department will partner with business leads to shape and deliver work in priority areas — Authorisations, SPC, EMO and Anti‑Money Laundering.

Role Responsibilities

  • Own the end‑to‑end intake and triage of AI demand, shaping ambiguous ideas into well‑defined opportunities with clear users, outcomes, assumptions, and decision points.
  • Translate complex business challenges into feasible AI use cases, advising on options, constraints, and best practices across data, models, governance, and delivery.
  • Organise high‑profile pipeline and scoping activity, including designing and facilitating scoping workshops with senior stakeholders and subject‑matter experts to identify highest‑value AI opportunities.
  • Manage the AI backlog and pipeline through Discovery and POCs, balancing strategic priorities, risk, and delivery capacity to progress the most valuable and complex initiatives.
  • Own and support value assessment and sizing, interpreting internal and external drivers to recommend prioritisation based on benefits, costs, risks, dependencies, and time‑to‑value.
  • Facilitate prioritisation and governance forums, guiding stakeholders through complex trade‑offs and clearly communicating decisions to both technical and non‑technical audiences.
  • Line manage a small team of direct reports and associated supplier resources, ensuring quality, pace, and value across scoping and delivery activities.
  • Partner with the AI programme and wider DTI teams to align on standards, governance, and the target operating model, sharing and resolving specialist issues.

Minimum Skills Required

  • Demonstrable experience leading complex, high‑profile work and engaging senior stakeholders across business and technical domains.
  • Extensive analytical capability with a history of shaping ambiguous problems into structured opportunities, hypotheses and clear outcomes, using a pragmatic approach to assessing complexity, feasibility, effort, risk, dependencies and expected value.
  • Solid working understanding of AI platforms, common delivery patterns and constraints, with the ability to engage technical teams and discuss solution trade‑offs effectively.

Essential

  • Skilled at senior stakeholder engagement, workshop facilitation and structured problem definition, including turning multiple viewpoints into a clear decision‑ready narrative.
  • Ability to work cross‑functionally across data, engineering, product, risk and change to translate business problems into feasible AI opportunities.
  • Experience managing a demand backlog and pipeline, maintaining flow into Discovery/POCs and adapting priorities based on capacity, risk and strategic direction.
  • Ability to assess and articulate value: sizing benefits, costs and complexity and producing light‑touch business cases to support prioritisation and investment decisions.
  • Understanding of AI delivery constraints and governance (e.g., data quality, model performance, assurance, privacy/security), and ability to recommend best practices to improve outcomes.
  • Clear communicator who can explain AI concepts and trade‑offs without jargon, producing crisp updates and recommendations for technical and non‑technical audiences.

Benefits

  • 28 days annual leave plus bank holidays.
  • Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders). Changing from September to a minimum of 50% in the office each month (expectation of 60% for Directors and Executive Directors).
  • Non‑contributory pension (8–12% depending on age) and life assurance at eight times your salary.
  • Private healthcare with Bupa, income protection, and 24/7 Employee Assistance.
  • 35 hours of paid volunteering annually.
  • A flexible benefits scheme designed around your lifestyle.

Our values & culture

Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that’s free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation – one that makes better decisions, drives innovation, and delivers better regulation. If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part‑time and job sharing where applicable.

Disability Confident: our hiring approach

We’re proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long‑term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role’s key requirements.

Useful information and timeline

Advert Closing: 17th May

CV Review/Shortlist: 19th May

First Stage Interviews W/C: 25th May

Second Stage Interviews W/C: 1st June

Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time.

AI Portfolio and Pipeline Lead in Leeds employer: Financial Conduct Authority

The FCA is an exceptional employer, offering a dynamic work environment in the heart of Edinburgh and Leeds, where innovation meets regulatory excellence. With a strong commitment to employee growth, a diverse and inclusive culture, and generous benefits including a non-contributory pension and private healthcare, we empower our team to thrive both personally and professionally. Join us to make a meaningful impact on the future of UK financial services while enjoying a flexible work model and ample opportunities for professional development.

Financial Conduct Authority

Contact Detail:

Financial Conduct Authority Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Portfolio and Pipeline Lead in Leeds

Tip Number 1

Get to know the company inside out! Research the FCA's values, mission, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.

Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!

Tip Number 3

Prepare for interviews by practising common questions and scenarios related to AI and stakeholder engagement. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.

Tip Number 4

Don’t forget to apply through our website! It’s the only way to ensure your application gets seen. Plus, it shows you’re serious about the role and following the process.

We think you need these skills to ace AI Portfolio and Pipeline Lead in Leeds

Stakeholder Engagement
Workshop Facilitation
Analytical Capability
AI Platforms Understanding
Problem Definition
Cross-Functional Collaboration
Demand Backlog Management

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the AI Portfolio and Pipeline Lead role. Highlight your experience with AI, stakeholder engagement, and managing complex projects. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit. Keep it concise but impactful – we love a good story!

Showcase Your Analytical Skills:Since this role involves a lot of analytical work, make sure to showcase your ability to turn complex problems into structured opportunities. Use specific examples from your past experiences to demonstrate this skill.

Apply Through Our Website:Remember, applications need to be submitted through our online portal. Don’t send them via email or social media – we won’t be able to consider them. So, head over to our website and get your application in!

How to prepare for a job interview at Financial Conduct Authority

Know Your AI Stuff

Make sure you brush up on your knowledge of AI platforms and delivery patterns. Be ready to discuss how you can translate complex business challenges into feasible AI use cases, as this will show your analytical capability and understanding of the role.

Engage with Stakeholders

Prepare to demonstrate your skills in senior stakeholder engagement. Think of examples where you've facilitated workshops or navigated complex trade-offs, as this will highlight your ability to communicate effectively with both technical and non-technical audiences.

Showcase Your Problem-Solving Skills

Be ready to share specific instances where you've shaped ambiguous problems into structured opportunities. Use the STAR method (Situation, Task, Action, Result) to clearly articulate your thought process and outcomes.

Understand the Bigger Picture

Familiarise yourself with the FCA's mission and how the AI Portfolio and Pipeline Lead role fits into it. Being able to connect your experience and skills to their goals will demonstrate your genuine interest in the position and the organisation.