AI - Senior Product Owner

• Define AI product requirements, user stories, and acceptance criteria.

• Lead end-to-end delivery from discovery to scaled adoption.

• Work closely with AI engineers, data scientists, architects, and business teams.

• Embed ethical and responsible AI principles across decisions.

• Engage customers and stakeholders to validate opportunities.

• Manage and prioritise a dynamic backlog and value-driven roadmap.

• Assess emerging AI tech including LLMs, GenAI, and automation.

• Communicate plans, risks, and progress to senior leadership.

• Ensure deployment readiness with engineering, security, and support teams.

• Foster innovation, experimentation, and continuous improvement.

Essential

• 9+ years' senior Product Ownership delivering complex digital/AI products.

• Strong expertise in GenAI, LLMs, RAG, decision intelligence, and agentic AI.

• Deep knowledge of banking processes and customer journeys.

• Strong AI model lifecycle understanding: validation, monitoring, live support.

• Proven application of Responsible AI (fairness, transparency, bias mitigation).

• Knowledge of FCA, PRA, GDPR, and model risk requirements.

• Ability to translate regulatory needs into product features.

• Agile/SAFe delivery experience and prioritisation leadership.

• Excellent stakeholder management across business, tech, risk, and data teams.

Desirable

• Experience with cloud-native AI platforms (GCP preferred).

• Strong data-driven mindset with value metrics expertise.

• Ability to manage technical and data interdependencies.

• Experience collaborating with third-party AI partners.

• Solid understanding of ML concepts, experimentation, and MLOps.

• Familiarity with GenAI, predictive analytics, and automation tools.

• Ability to translate technical AI capabilities into product value.

• Knowledge of AI scalability, model monitoring, and governance.

Our client is seeking a Senior AI Product Owner to lead the vision and delivery of next-generation AI products across a rapidly evolving digital landscape. You'll shape intelligent solutions using LLMs, generative AI, cloud-native platforms, and MLOps-driving measurable business outcomes while embedding responsible AI practices. This role sits at the heart of innovation, translating complex AI capability into high-value, production-ready products.