Data Product Manager

Overview

As a Data Product Manager at Experian Consumer Services, you turn data strategy into a clear, prioritized portfolio of data products. You’ll align customer and commercial priorities with domain teams, Data Platform, Engineering, Analytics, AI, and Governance to deliver value. You’ll bridge strategy and execution across UK and Hyderabad, driving domain-owned data products and self-service analytics. Expect to shape standards, ownership, and metrics while focusing on adoption and measurable impact. This role offers the chance to influence data-driven experiences at scale within a mission‑led, collaborative environment.

Pay / Benefits

• Hybrid working – 40% office based
• Competitive compensation with discretionary bonus
• Pension
• Bupa healthcare
• Sharesave Scheme
• 25 days annual leave plus 8 bank holidays and 3 volunteering days

Responsibilities

• Shape the data product strategy and roadmap
• Define minimum data product standards (purpose, consumers, inputs/outputs, KPIs, privacy, ownership, retirement)
• Foster domain ownership and reuse across domains
• Maintain integrated view of use cases, onboarding, migration, and decommissioning
• Manage risks proactively (delivery, data quality, privacy, security)
• Measure adoption and value (time to insight, quality, revenue impact)
• Collaborate with Product, Engineering and Analytics to sequence delivery of high-value use cases
• Connect data delivery to business outcomes (leads, conversion, retention, revenue)

Key requirements

• Significant experience in product management, especially data products and platforms
• Experience with domain ownership, self-service data, data governance, data migrations or data operating model change
• Experience managing a portfolio of interconnected initiatives
• Strong understanding of the data lifecycle (event design, ingestion, modelling, quality, metadata, lineage)
• Technical fluency to discuss architecture, quality, privacy, reliability and cost
• Commercial judgement linking data investments to business value
• Ability to influence senior stakeholders without formal authority
• Excellent organisation, prioritisation, and communication skills
• Comfort in a complex, changing environment

• influencing stakeholders
• communication (written and verbal)
• problem-solving and analytical thinking
• data governance
• data platform
• self-service data

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