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Data Product Manager

Job in West Midlands, Birmingham, West Midlands, B1, England, UK
Listing for: VIQU IT Recruitment
Full Time position
Listed on 2026-10-14
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst, AI Business & Operations, Data Science Manager
  • Business
    Business Intelligence, Data Analyst, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 65000 - 70000 GBP Yearly GBP 65000.00 70000.00 YEAR
Job Description & How to Apply Below
Data Product Manager

Solihull (5 days a week on site)

£65,000 - £70,000 + excellent benefits

VIQU has partnered with a global organisation to hire a Data Product Manager to lead their Data and Insight function through a major shift; from reporting and dashboards to governed, AI-ready data products.

The organisation is preparing to launch its AI Strategy, and so require an individual to own their data product roadmap. You'll lead a team of analysts and BI developers, act as the bridge between technical delivery and business stakeholders whilst enforcing a federated, data-mesh style operating model.

Duties of the Data Product Manager
  • Own the roadmap and lifecycle for certified data products eg: datasets, dashboards, semantic models and AI-enabled features.
  • Leverage data for insight generation and decision-making.
  • Ensure the organisation is "AI ready", by ensuring AI tools only access trusted data, and that quality tier is disclosed in AI outputs.
  • Line manage a team of Data Analysts and BI Developers.
  • Translating business needs into clear specifications, and embedding data products into decision-making.
  • Driving data literacy and adoption across the organisation.
  • Occasionally act as a business analyst, helping to bridge the gap between non technical and technical stakeholders.
What they're looking for
  • Previous experience leading adoption and deployment of data analytics tools enterprise wide.
  • Hands-on experience with data technologies like Fabric, Databricks, Power BI, Tableau ect.
  • Hands on experience using AI tools in an analytical context.
  • Familiarity with data governance, quality and security best practices.
  • Strong stakeholder and business partnering skills.
  • A track record of driving data adoption and data literacy.

Benefits include private medical insurance, free lunches, gym membership and life assurance.

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