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Data, Analytics and AI - Product Manager

CABINET OFFICE
Newcastle upon Tyne, GBR
Full-time
Onsite
£59,207,
Discovered 3 days ago
Product managementData productsAnalytics productsArtificial intelligence productsProduct roadmap developmentProduct lifecycle management

Full Job Posting

Role overview

The Public Sector Fraud Authority works with departments and public bodies to understand and reduce fraud against the public sector.

Its Data Analytics Service provides data analytics and technology solutions to help find and prevent fraud.

The Product Manager develops and delivers data and AI products intended to help public bodies detect and prevent fraud.

Product delivery

  • Develop and deliver a product roadmap and manage data and AI products across their lifecycle.
  • Lead delivery from discovery and alpha-stage development through beta service implementation.
  • Work with multidisciplinary teams, including data engineers, data scientists, and business analysts.
  • Ensure products deliver measurable outcomes and maximize financial benefits for the public.
  • Balance anti-fraud operational needs with user requirements and technical feasibility, using a user-centred and data-informed approach.

Product strategy

  • Develop and articulate a product vision and strategy for data, analytics, and AI capabilities aligned with the Public Sector Fraud Authority's mission to counter fraud.

Team and mission

The Public Sector Fraud Authority supports departments and public bodies in tackling fraud against the public sector.

The role contributes to deploying advanced analytics and AI tools across government to counter fraud.

Pay and contract

  • The stated salary is £59,207, with a national range of £59,207–£66,192 and a London range of £65,193–£70,958.
  • The role is permanent and offers a Civil Service Pension with an employer contribution of 28.97%.

Locations and working pattern

  • The listed locations are Glasgow, London, Manchester, Newcastle upon Tyne, and York.
  • The working pattern includes flexible working, full-time, or job share.

Requirements

  • Develop and deliver data and AI products across their full lifecycle, from discovery and alpha development through beta service implementation.
  • Balance anti-fraud operational needs, user requirements, and technical feasibility.
  • Take a user-centred and data-informed approach to product decisions.
  • Work closely with multidisciplinary technical teams, including data engineers, data scientists, and business analysts.
  • Align data, analytics, and AI product vision and strategy with the Public Sector Fraud Authority's mission to counter fraud.

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