AI Product Lead - Quilter

About the Business Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees £141.9 billion in customer investments (as at end March 2026). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth. Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning - offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands. At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it's the perfect time to join us! About the Role Level : 5 Department: Chief Data Office Location: London or Southampton Contract type : Permanent The new role sits within COO and reports directly to the Head of AI. The AI Product Lead plays a pivotal role in shaping, delivering, and governing AI products across Quilter, ensuring alignment to business priorities, regulatory expectations, and responsible AI standards. This role combines strong technical expertise in Machine Learning and Generative AI with product leadership, project delivery, and stakeholder engagement, enabling scalable and impactful AI solutions across the organisation. The key accountabilities for the role are as follows: • AI Product Strategy & Roadmap - Define and own the AI product vision, roadmap, and prioritisation of use cases aligned to business value and strategic objectives. Translate business needs into clear AI problem statements and delivery plans. • Project & Delivery Management - Lead end-to-end delivery of AI products using agile methodologies and ensure delivery milestones, dependencies, and risks are effectively managed to drive timely and high-quality outcomes. • Value Realisation & Adoption - Track product performance, business impact, and user adoption. Ensure AI solutions deliver measurable outcomes and continuously evolve based on feedback and performance metrics. • AI Governance & Responsible AI Alignment - Collaborate closely with AI Governance, Risk, Legal, and Compliance teams to ensure all AI products adhere to Quilter's AI governance framework. • Model Risk & Evaluation Oversight - Ensure robust evaluation frameworks are applied across ML and GenAI solutions, including accuracy, fairness, bias, explainability, and hallucination monitoring. Support model validation prior to production deployment. • Stakeholder Engagement & Leadership - Build strong, collaborative relationships across business units, technology, and senior stakeholders. Act as a trusted advisor, ensuring alignment, transparency, and effective communication throughout the product lifecycle. • Cross-Functional Collaboration - Work closely with AI Scientists, Engineers, Product Owners, and business SMEs to ensure seamless delivery of AI solutions across the AI development lifecycle. • Leadership & Team Contribution - Lead and mentor team members where appropriate, fostering a high-performance, collaborative, and delivery-focused culture. Third-Party Vendor Assessment & Due Diligence - Provide technical and product leadership input into the evaluation of AI vendors and external solutions. Support due diligence, risk assessment, and alignment to Quilter's standards for secure and responsible AI adoption. About You Qualifications • Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Engineering, Business, or similar). • Advanced degree (MSc/PhD in AI, Data Science, or related field) is advantageous but not required. • Certifications in AI/ML, Product Management, or Agile Delivery (e.g., Scrum, SAFe) are advantageous Knowledge • Strong understanding of Machine Learning, Generative AI, and LLM-based solutions • Knowledge of AI product lifecycle and delivery frameworks, including agile methodologies • Solid understanding of AI governance frameworks, model risk management, and regulatory requirements (GDPR, EU AI Act, FCA guidance) • Awareness of AI/ML evaluation techniques and performance measurement • Understanding of third-party AI ecosystems and vendor integration approaches Experience • Proven experience in AI Product Management, AI Delivery Lead, or similar roles • Demonstrated success delivering AI/ML or GenAI products from concept to production • Strong experience in Agile project delivery and backlog prioritisation using JIRA or similar tools • Experience working within regulated industries (financial services preferred) • Experience contributing to AI governance, model validation, and risk management processes • Experience evaluating and onboarding third-party AI vendors and solutions Skills • Strong strategic thinking with the ability to balance innovation, delivery, and risk • Excellent project management, planning, and organisational skills • Strong stakeholder management and influencing capability across all levels • Excellent communication and presentation skills, including executive-level engagement • Ability to translate complex AI concepts into clear, business-driven outcomes • Collaborative, proactive, and delivery-focused mindset #LI-PM1 Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing env