Data Product Manager

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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, BigQuery, 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!

”, “datePosted”: “2026-05-22”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Harnham – Data & Analytics Recruitment”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__438986839__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “” } } }
Company: Harnham – Data & Analytics Recruitment
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Job Description:

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, BigQuery, 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!

Posted: May 22nd, 2026