Data Product Manager (Databricks)

Harnham - Data and Analytics Recruitment
London, United Kingdom
2 weeks ago
£60,000 – £80,000 pa

Salary

£60,000 – £80,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
19 May 2026 (2 weeks ago)

Benefits

Benefits
Data Product Manager (Databricks)

Liverpool Street, London (3 days per week)
£60,000 - £80,000 + benefits

I'm currently working with a client who are looking for a Data Product Manager to join their growing data function and help bridge the gap between technical teams and the wider commercial business.

The Role
  • Own the end-to-end lifecycle of data products
  • Work closely with Data Engineering, Analytics, and business stakeholders
  • Drive real-time data and self-serve data initiatives
  • Build business cases and shape commercially focused data solutions
  • Focus areas include churn, profitability, and customer insight
The Requirements
  • Previous experience as a Data Product Manager
  • Strong stakeholder management and communication skills
  • Experience working with modern cloud data platforms
  • Databricks experience is essential
  • Technically minded, with the ability to work closely with engineering teams
  • Backgrounds in BI, Data Engineering, or Business Analysis are all relevant
What Will Make You Stand Out
  • Strong commercial mindset and ability to influence senior stakeholders
  • Experience delivering measurable business outcomes
  • Telecoms or consultancy background
  • Experience driving adoption of data products across businesses

My client is looking to move quickly on this opportunity.

If interested, please email me directly or message me on LinkedIn.

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Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.