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Data Platorm Manager

Harnham - Data and Analytics Recruitment
London, United Kingdom
3 days ago
£60,000 – £90,000 pa

Salary

£60,000 – £90,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
28 May 2026 (3 days ago)
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DATA PLATFORM MANAGER

UP TO £90,000

LIVERPOOL STREET, LONDON

OVERVIEW

We are hiring a Data Product Manager to join a fast-growing, PE-backed telecommunications business undergoing a major data transformation.

This is a high-visibility role focused on shaping and delivering data products that support commercial growth, analytics enablement, real-time data, and AI use cases across multiple markets.

THE COMPANY

Our client is a rapidly scaling telecommunications business with significant investment in Digital, Data, and Analytics.

The data function is mature, highly regarded, and central to future growth. The business is investing in a modern data platform, including next-generation data lake capabilities, real-time analytics, AI-enabled use cases, and improved self-service reporting.

RESPONSIBILITIES

  • Own the end-to-end lifecycle of data products, from discovery to delivery and iteration
  • Define and manage the data product roadmap
  • Act as the link between business stakeholders, data engineering, analytics, and technology teams
  • Translate commercial and technical requirements into scalable data solutions
  • Support delivery of modern data platform initiatives, including real-time data capabilities
  • Enable analytics and market teams to self-serve data more effectively
  • Support use cases across customer insight, churn, ARPU, profitability, and network optimisation
  • Communicate product updates, priorities, and roadmap progress to stakeholders
  • Support incident management and platform-related administration where required

SKILLS AND EXPERIENCE

  • 3-5 years' experience in data-focused roles
  • Strong hands-on experience with Databricks
  • Experience with modern data platforms such as Synapse, Snowflake, BigQuery, or Redshift is beneficial
  • Background in data product, data engineering, business analysis, analytics, or platform delivery
  • Strong understanding of how data platforms support business outcomes
  • Excellent communication and stakeholder management skills
  • Confident, commercially minded, and able to challenge where needed
  • Consultancy or data transformation experience would be highly attractive

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