Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Senior Data Product Manager role.

Rezi rewrites your resume against M&G plc's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Data Product Manager posting at M&G plc — free, in seconds.

About the Role

As Senior Data Product Manager, you will own the roadmap, requirements, and priorities for a portfolio of data products, acting as the primary liaison between business stakeholders and data teams. This role focuses on translating business needs into actionable data products that drive investment decisions, client reporting, regulatory submissions, and AI use cases.

Responsibilities

Engage the business and shape demand by building strong relationships with stakeholders and identifying opportunities for data products.
Lead demand intake, challenging requests to understand the core business problem and use case.
Act as the voice of the data consumer, ensuring products are designed for user needs.
Own requirements and data product definition by translating business needs into clear, outcome-driven requirements and user stories.
Define data products, including purpose, consumers, business definitions, critical data elements, source systems, and service levels.
Collaborate with data engineering and analysis teams to define data contracts, quality rules, and lineage.
Identify data needs and dependencies early in change initiatives.
Prioritize the roadmap and backlog for the data product portfolio, aligned with the data strategy.
Balance new change, BAU enhancements, and technical debt, reporting clearly on progress and resource use.
Make and communicate scope decisions, including saying no or not yet when necessary.
Drive adoption and measure value by defining and tracking success metrics such as adoption, data quality, timeliness, reuse, and business benefit.
Lead acceptance, launch, and adoption processes, ensuring products are tested, documented, and published.
Gather consumer feedback to improve products, retire low-value outputs, and consolidate overlapping data sets.
Enable AI-ready data products by working with Analytics and AI teams to ensure clear business definitions and semantic models.
Utilize AI-assisted tools to accelerate requirements analysis, data discovery, and documentation with human oversight.

Requirements

Significant experience in data product management, product ownership, or senior business data analysis within Asset Management or Financial Services.
Strong knowledge of investment data, including instruments, portfolios, positions, transactions, performance, client, and reference data across public or private markets.
Proven track record of owning a data product roadmap and backlog, making clear, value-based prioritization decisions with senior stakeholders.
Excellent requirements analysis skills, with the ability to translate ambiguous business needs into clear requirements, data definitions, and acceptance criteria.
Confidence in engaging and influencing senior business stakeholders, including constructively challenging requirements and managing competing priorities.
Good understanding of data management and governance, including data quality, lineage, data contracts, cataloguing, and critical data elements.
Sufficient technical understanding of modern data platforms (e.g., Snowflake), data modeling, and ELT to work credibly with engineers and assess feasibility.
Collaborative approach, working effectively with Data Engineering, Analytics, AI, Delivery, Testing, and offshore colleagues.
Experience working in a data product, data mesh, or hub-and-spoke data operating model.
Awareness of regulatory and reporting requirements relevant to asset management (e.g., client reporting, SFDR).

Skills

Product discovery
Roadmap management
Backlog management
Requirements analysis
User stories
Acceptance criteria
Business process mapping
Data mapping
SQL
Agile delivery tools (Jira, Confluence)
Data catalogue tools
Data quality tools
Data lineage tools
Product metrics
Adoption tracking

Location

London

Work Type

Flexible working arrangements

Experience Level

Manager/Expert

Benefits

Valuable pension scheme of up to 18% (13% employer, 5% employee contributions)
Access to Share Save and Share Incentive Plan
Financial wellbeing and support services
38 days annual leave (including bank holidays)
Opportunity to purchase up to five extra days of leave
Time Off When You Need It policy
Market-leading Inspiring Families policy with comprehensive support and paid parental leave (maternity, adoption, surrogacy, paternity)
Private Healthcare
Critical Illness cover
Life Assurance
Additional family options for Health & Protection cover

About the Company

M&G has a heritage dating back over 175 years, combining asset management and insurance expertise to offer a wide range of savings and investment solutions.
The company operates through two distinct segments: Asset Management and Life.
M&G aims to create an exceptional place to work by fostering a culture of telling it like it is, owning it now, and moving it forward together with care and integrity.

Equal Opportunity

M&G strives to have a diverse workforce and an inclusive culture, supported by policies and employee-led networks.
Applications are welcomed from people of all backgrounds, including gender, ethnicity, age, disability, sexual orientation, neurodivergent individuals, career returners, and those with military service experience.
M&G is a Level 3: Disability Confident Leader under the UK Government Disability Confident employer scheme.
The company is committed to providing an inclusive recruitment process and offers reasonable adjustments upon request.