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Data Product Manager

Harnham - Data & Analytics Recruitment
London, UK
£60,000 – £80,000
5 days ago

Skills & Technologies

Data EngineeringData LakeIncident ManagementSnowflakeBigQueryDatabricksRedshiftSynapseBusiness AnalysisStakeholder ManagementRoadmapReportingAIAdministrationTransformation

Job Description

DATA PRODUCT MANAGER

UP TO £80,000

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

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

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