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Data Product Manager

Job in Chester, Cheshire, CH1, England, UK
Listing for: Harnham - Data & Analytics Recruitment
Full Time position
Listed on 2026-06-10
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Data Engineer, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 GBP Yearly GBP 80000.00 YEAR
Job Description & How to Apply Below
DATA PRODUCT MANAGER LONDON/HYBRID UP TO £80,000 This is a high visibility data product role within a fast scaling, PE backed organisation where data and analytics sit at the heart of commercial decision making. You will take ownership of a modern data platform at a pivotal point in its evolution, influencing how data products are built, scaled, and used across the business.

ROLES AND RESPONSIBILITIES:

The Data Product Manager will:
Own the end to end lifecycle of data products, from discovery and definition through delivery and continuous improvement. Define and drive the data product vision, strategy, and roadmap in line with business priorities. Act as the key link between business stakeholders, data engineering, and analytics teams across markets. Translate complex commercial and operational requirements into scalable, high quality data solutions.

Oversee delivery across a modern data platform, challenging technical approaches and best practice where needed. Support platform ownership activities, including incident management and operational governance. Communicate progress, risks, and roadmap updates clearly to senior stakeholders. YOUR

SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:
Strong commercial experience working in data focused roles across product, platform, or analytics environments. Hands on experience with Databricks within a production data platform is essential. Broader exposure to modern cloud data technologies such as Snowflake, Big Query, or Redshift is beneficial. A strong understanding of how data platforms enable analytics, AI, and business outcomes. Confident stakeholder management skills, with the ability to influence and handle challenging conversations.

Backgrounds spanning data engineering, analytics, product, or consultancy are all well suited to this role. APPLY BELOW!
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