Data Platorm Manager - #2120272

DATA PLATFORM 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