Product Owner – AI Fraud Operations

Salary: £63,000 - 103,000 per year

Requirements:

• We seek a confident, outcome-focused product professional who is comfortable working through ambiguity and bringing together business, operational and technical perspectives.
• Product ownership experience delivering AI, data, analytics or colleague-facing digital products from discovery and experimentation through production adoption.
• Ability to frame ambiguous operational problems, form testable hypotheses and turn learning into product decisions and prioritised delivery.
• Understanding of generative or agentic AI product considerations, including evaluation, explainability, guardrails, human oversight, data quality, monitoring and responsible use.
• Strong user-centred product skills, including experience working directly with operational users and translating feedback into valuable, usable capabilities.
• Confidence working across data science, engineering, architecture and risk teams, translating technical complexity into clear decisions and stakeholder narratives.
• Strong senior stakeholder management skills, with the ability to align competing priorities across operations, product, technology, data and governance.
• Commercial and outcome focus, including business cases, measurable benefits, adoption metrics and value realisation.
• Strong Agile product practices across roadmap management, backlog prioritisation, user stories, acceptance criteria and iterative delivery.

Responsibilities:

• We expect our Product Owner to provide clear day-to-day product direction to the delivery team and maintain close alignment with the Lead Product Owner.
• Own and communicate the product vision, outcomes and roadmap, extending the capability beyond its initial payments and scams use cases where evidence supports expansion.
• Turn Fraud Operations needs into a prioritised product backlog covering investigator journeys, summaries, explanations, investigative questions, data sources and future specialist agents.
• Lead discovery, experiments and evaluation with investigators, using qualitative feedback and measurable evidence to decide whether to stop, pivot, improve or scale capabilities.
• Define success measures for decision quality, investigator productivity, customer protection, operational efficiency, adoption and responsible AI performance.
• Partner with data science, machine learning engineering, data engineering, architecture, operations, risk and technology teams to shape safe, usable and scalable solutions.
• Prioritise the data roadmap, ensuring each source has a clear risk-profiling purpose, appropriate ownership, quality expectations, latency needs and a strategic or proportionate tactical route.
• Own product requirements and acceptance criteria for model and agent behaviour, explanations, user experience, controls, monitoring, guardrails and production readiness.
• Navigate AI, model, data, privacy, security, accessibility and design governance, maintaining momentum while ensuring risks and decisions are transparent.
• Coordinate integration with colleague tooling and future channels while preserving a modular design that supports new use cases and specialist agents.
• Build senior stakeholder confidence through a clear product story, roadmap, evidence base, benefits case and honest view of dependencies and trade-offs.

Technologies:

• Agentic AI
• AI
• Machine Learning
• Product Owner
• Security
• Support

More:

We are recruiting on behalf of NatWest, a major UK retail bank providing everyday banking services to more than 19 million customers across retail, commercial and private banking. AMS is our global workforce solutions partner, supporting NatWests contingent recruitment processes and connecting the bank with interim and temporary professionals. This is a six-month, day-rate Product Owner contract based in London, with hybrid working. The role is part of an AI capability programme supporting Fraud Operations with clearer, faster and more consistent investigations. Its multi-agent framework can summarise cases, explain risk signals and generate tailored investigative questions, and is moving from controlled experimentation towards production and broader use. NatWest is becoming a simpler, more integrated and technology-driven bank, with a commitment to building a sustainable bank and helping customers succeed. Workers must operate via an Umbrella or PAYE engagement model.

last updated 40 week of 2026