We're seeking an experienced Product Manager to support a major Fraud and Error transformation programme within a large-scale government environment. The role will focus on developing digital products and services that help identify, prevent, and reduce fraudulent activity and payment errors across critical citizen-facing systems.
This is a strategic and delivery-focused position, requiring collaboration across multiple business, data, and technology teams to ensure that digital products meet user needs, deliver measurable value, and align with organisational objectives.
Key Responsibilities
Define and communicate the product vision, strategy, and roadmap for fraud and error services.
Own and manage the product backlog, ensuring priorities are aligned with business outcomes.
Work closely with multidisciplinary teams - including business analysts, delivery managers, engineers, and data specialists - to deliver secure, user-focused solutions.
Translate complex requirements into clear, actionable user stories and acceptance criteria.
Use data, analytics, and user feedback to measure performance and inform continuous improvement.
Ensure delivery adheres to government digital service (GDS) principles and best practices.
Build strong relationships with stakeholders across business, technical, and policy areas.
Support agile delivery, ensuring product releases are timely, valuable, and meet quality standards.
Essential Skills and Experience
Proven experience as a Product Manager or Product Owner on large-scale digital transformation programmes.
Strong understanding of Agile methodologies (Scrum, Kanban).
Demonstrated ability to manage the end-to-end product lifecycle, from discovery to live service.
Excellent stakeholder management, communication, and influencing skills.
Data-driven mindset - able to interpret and use performance insights to guide decisions.
Experience working within public sector digital services or similarly complex, regulated environments.
Desirable Skills
Knowledge of Fraud Detection Systems, Identity Verification, or Risk Analytics solutions.
Familiarity with GDS Service Standards and public sector digital delivery frameworks.
Background in data-led products, machine learning, or automation-driven solutions .
Experience working on security, compliance, or financial integrity programmes .
Reasonable Adjustments:
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
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