Data product manager for consumer services

Experian; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working

Pension

Bupa healthcare

Sharesave Scheme

25 days annual leave

Job summary

Experian Consumer Services is seeking a Data Product Manager to turn our data strategy into a clear, prioritised and measurable portfolio of data products. You will translate strategy into a coherent roadmap and work with Product, Engineering and Analytics to sequence high-value initiatives.

You will prioritise data initiatives by customer value and risk, define data product standards, and establish ownership across domains.

Qualifications

• Significant experience in product management, especially data products and data platforms.
• Practical experience with domain ownership, self-service data and data governance.
• Experience leading a portfolio of interconnected initiatives rather than a single backlog.
• Strong understanding of the data lifecycle: event design, ingestion, modelling, quality, metadata and lineage.
• Ability to connect product decisions to architecture, privacy, reliability and cost.
• Proven ability to influence senior stakeholders and delivery teams without formal authority.

Responsibilities

• Translate ECS strategy, the FY27 product roadmap, Data 4.0 and AI priorities into a coherent data product strategy and roadmap.
• Prioritise data initiatives based on customer value, commercial impact, feasibility, dependencies and risk.
• Ensure that data investments support acquisition, activation, engagement, Marketplace conversion, lender matching, monetisation and platform reliability.
• Define the minimum standards for a data product, including purpose, consumers, inputs, outputs, KPI definitions, quality expectations, freshness, privacy classification, owner, support model and retirement plan.
• Create clear ownership across domains, central teams and shared capabilities.
• Identify opportunities for reuse across domains and prevent duplicated metrics, pipelines and reporting logic.
• Support the transition to a domain-owned and self-service data operating model.
• Maintain one integrated view of use cases, domain adoption, source onboarding, data products, migration, dual running, consumer cutover and legacy decommissioning.
• Work with Product, Engineering and Analytics leads to sequence delivery around the highest-value use cases and dependencies.
• Identify delivery, data quality, privacy, security, capacity, supplier and operational risks before they become incidents or delivery failures.
• Maintain clear risk and dependency views with leading indicators, mitigation actions, accountable owners and decision dates.
• Define how data product success will be measured, including adoption, reuse, quality, freshness, time to insight, delivery cycle time and operational reliability.
• Work with Product, Analytics and Finance to connect data delivery to business outcomes such as leads, conversion, upsell, engagement, retention, revenue per user, productivity and platform cost.
• Track value delivery against the business case and recommend reprioritisation when assumptions or market conditions change.
• Ensure that priority use cases have evidence of consumer adoption, business impact and readiness for continued operation.

Skills

Data product management

Data platforms

Domain ownership

Self-service data

Data governance

Data migrations

Stakeholder management

Technical fluency

Job description

Описание:

At Experian Consumer Services, data is a core product capability. Our products depend on reliable event capture, trusted customer data, reusable data products, analytics and AI to improve customer experiences and create value through our Marketplace. We are looking for a Data Product Manager to turn our data strategy into a clear, prioritised and measurable portfolio of data products.

Задачи:

Translate ECS strategy, the FY27 product roadmap, Data 4.0 and AI priorities into a coherent data product strategy and roadmap.

Prioritise data initiatives based on customer value, commercial impact, feasibility, dependencies and risk.

Ensure that data investments support acquisition, activation, engagement, Marketplace conversion, lender matching, monetisation and platform reliability.

Define the minimum standards for a data product, including purpose, consumers, inputs, outputs, KPI definitions, quality expectations, freshness, privacy classification, owner, support model and retirement plan.

Create clear ownership across domains, central teams and shared capabilities.

Identify opportunities for reuse across domains and prevent duplicated metrics, pipelines and reporting logic.

Support the transition to a domain-owned and self-service data operating model.

Maintain one integrated view of use cases, domain adoption, source onboarding, data products, migration, dual running, consumer cutover and legacy decommissioning.

Work with Product, Engineering and Analytics leads to sequence delivery around the highest-value use cases and dependencies.

Identify delivery, data quality, privacy, security, capacity, supplier and operational risks before they become incidents or delivery failures.

Maintain clear risk and dependency views with leading indicators, mitigation actions, accountable owners and decision dates.

Define how data product success will be measured, including adoption, reuse, quality, freshness, time to insight, delivery cycle time and operational reliability.

Work with Product, Analytics and Finance to connect data delivery to business outcomes such as leads, conversion, upsell, engagement, retention, revenue per user, productivity and platform cost.

Track value delivery against the business case and recommend reprioritisation when assumptions or market conditions change.

Ensure that priority use cases have evidence of consumer adoption, business impact and readiness for continued operation.

Требования:

Significant experience in product management, especially data products, data platforms.

Practical experience with domain ownership, self-service data, data governance, data migrations or data operating model change, and experience working with data engineering teams.

Experience managing a portfolio of interconnected initiatives rather than a single product backlog.

Strong understanding of the data lifecycle, including event design, ingestion, modelling, data contracts, quality, metadata, lineage, analytics and activation.

Enough technical fluency to challenge assumptions, understand trade-offs and connect product decisions to architecture, quality, privacy, reliability and cost.

Strong commercial judgement and experience linking product or data investments to measurable business value.

Proven ability to influence senior stakeholders and delivery teams without relying on formal authority.

Exceptional organisation skills, with a clear and repeatable approach to priorities, decisions, dependencies, risks and follow-through.

Excellent written and verbal communication, including the confidence to communicate difficult news early and constructively.

Comfort working in a complex, changing environment where information is sometimes incomplete and decisions need to move forward.

Условия:

• Hybrid working - 40% office based Great compensation package and discretionary bonus Core benefits include Pension, Bupa healthcare, Sharesave Scheme and more 25 days annual leave with 8 bank holidays and 3 volunteering days.
• You can purchase additional annual leave.