Data Product Manager
Job in
London, Greater London, W1B, England, UK
Listed on 2026-07-08
Listing for:
Harnham
Full Time
position Listed on 2026-07-08
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Business Systems/ Tech Analyst, Business Intelligence
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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