AI Product Owner - Data-Driven Solutions (London Hybrid)

Corpay; Greater London; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Corpay in London is seeking a delivery-focused Technical Product Owner for the International Vehicle Payments division. You will bridge business stakeholders, Data Science, and Engineering to clarify opportunities, gather requirements, and turn AI ideas into measurable, governed data products.

This is not purely strategic; you will own the delivery lifecycle from discovery to launch and continuous improvement, working in a hybrid setup three days a week in our London office.

Qualifications

• 2+ years of relevant professional experience as a Technical Product Owner, Product Manager, Business Analyst, Delivery Analyst, or in a similar role supporting technology, data, or digital product delivery.
• Proven backlog ownership: break strategic goals into prioritised, well-defined epics, features and user stories.
• Experience delivering products end-to-end, from problem definition and discovery to launch, adoption and benefits realisation.
• Excellent delivery management skills, including dependency management, risk and issue management, roadmap planning and stakeholder reporting.
• Comfortable operating in agile, iterative product-development environments and working directly with engineering teams.
• Strong understanding of AI, machine learning and generative AI concepts.
• Ability to translate business objectives into analytical requirements: metrics, hypotheses, datasets, business rules, success thresholds and evaluation criteria.
• Familiarity with AI development lifecycles: problem framing, data preparation, experimentation, model evaluation, deployment, monitoring and iteration.

Responsibilities

• Owning and maintaining the backlog and roadmap for AI- and data-enabled products, prioritising work based on business value, user need, feasibility, data readiness, risk, and delivery dependencies.
• Partnering with business teams to identify high-value problems, mapping current processes, gathering requirements, and translating ambiguous needs into clear product outcomes.
• Working closely with Data Scientists to convert business questions into data-analysis requirements, including hypotheses, measures, data definitions, segmentation needs, assumptions, and decision criteria.
• Supporting data discovery and analysis by ensuring teams have the right business context, access to subject‑matter experts, clear definitions, and timely feedback on findings.
• Defining epics, features, user stories, acceptance criteria, and non‑functional requirements for AI and data products.
• Coordinating delivery across Data Science, Data Engineering, Software Engineering, Architecture, Security, Risk, Compliance, and third‑party suppliers where relevant.
• Leading discovery, proof‑of‑concept, and pilot activity; establishing success measures; and making evidence‑based recommendations for scaling, iterating, pausing, or retiring solutions.
• Facilitating prioritisation, backlog refinement, sprint planning, demos, and stakeholder reviews; removing blockers; and surfacing risks, dependencies, and trade‑offs early.
• Defining how AI products and models will be evaluated in production, including user feedback, operational performance, quality, accuracy, adoption, and realised benefits.
• Ensuring responsible AI, data protection, security, model‑risk, and governance requirements are being built into delivery rather than being added at the end.
• Supporting go‑live, UAT, change management, training, and operational handover, ensuring solutions are being adopted and continuously improved.

Skills

Backlog ownership

Agile delivery

Stakeholder management

AI concepts

Cross-functional

Job description

Corpay in London is seeking a delivery-focused Technical Product Owner for the International Vehicle Payments division. You will bridge business stakeholders, Data Science, and Engineering to clarify opportunities, gather requirements, and turn AI ideas into measurable, governed data products.

This is not purely strategic; you will own the delivery lifecycle from discovery to launch and continuous improvement, working in a hybrid setup three days a week in our London office.