Data Product Manager Insurance

The Role

The Data Product

Manager (Premium) is a key role within the Global Data Function, accountable

for shaping and delivering the Premium data product as part of the Finance

Transformation programme. Working closely with the wider product management

team, business stakeholders, Technology delivery teams and Architecture, the

role will define the product vision, scope and roadmap required to create a

trusted, governed and reusable view of premium data. The product will bring

together data from multiple business areas and source systems at a consistent

level of detail, establish common definitions and quality standards, and enable

consistent reporting, analysis and downstream use. The role will lead discovery

across the end-to-end data flow—from source systems and interfaces into the

Unified Data Ecosystem through to transformation, conformance and consumption—and

make clear, evidence-based decisions on priorities, dependencies and phased

delivery. It will also matrix-manage the cross-functional delivery team and

partner closely with business owners and subject-matter experts to secure

adoption, clear ownership and measurable value.

Key Responsibilities

·

Product Strategy & Vision: Define and

communicate the vision, outcomes and roadmap for the Premium data product,

aligned to Finance transformation priorities and wider Group Data strategy.

·

Business Discovery & Scope: Lead

discovery with Finance, underwriting and business stakeholders to understand

current premium and commission processes, reporting needs, pain points and data

flows; translate these into a clear, prioritised and phased product scope.

·

End-to-End Product Ownership: Own the

product across source data, interfaces into the Unified Data Ecosystem,

transformation and conformance requirements, and interfaces out to dashboards,

analytics and other consuming products e.g. planning tooling.

·

Common Data Model: Drive alignment of

premium, commission and other data across business areas, including common

grain, definitions, dimensions and business rules, while making differences and

exclusions explicit.

·

Stakeholder & Business Ownership:

Establish effective relationships with senior Finance leaders, business product

owners, subject-matter experts, Data, Technology and external partners; secure

decisions, sign-off and clear accountability for the product.

·

Roadmap, Prioritisation & Dependencies:

Maintain an integrated roadmap and backlog covering source readiness,

interfaces, platform capability, transformation, reporting and adoption; expose

trade-offs and manage cross-team dependencies.

·

Team Definition & Mobilisation:

Define the cross-functional team structure, capabilities, roles and capacity

required to deliver the Premium data product once its scope and roadmap are

established; identify resource gaps and work with delivery and functional

leaders to mobilise the right team for each phase.

·

Cross-Functional Delivery Leadership:

Matrix-manage engineering, architecture, data quality, analysis, reporting and

testing specialists through discovery, design, build, validation and release,

while maintaining clear separation between product outcomes and delivery

execution.

·

Data Governance, Quality & Controls:

Define ownership, lineage, metadata, access controls, reconciliation and

quality expectations so that premium data is trusted, auditable and suitable

for authorised use.

·

Adoption & Value Realisation: Define

success measures, monitor product health and usage, and work with consumers to

embed the product into reporting and decision-making while reducing manual

reconciliation and duplicated data preparation.

·

Lifecycle & Operating Model: Agree

the transition from change to run, including stewardship, support, small-change

prioritisation and ongoing product improvement.

Person Specification

·

Data Product Leadership: Proven

experience defining and managing data products from discovery and strategy

through delivery, adoption and ongoing stewardship.

·

Commercial & Insurance Acumen: Strong

ability to understand how premium data supports financial management,

underwriting performance, planning, reporting and executive decision-making.

·

Complex Data Landscape: experience

working across multiple source systems, business units and data models to

establish common definitions, aligned grain and reusable data structures.

·

Stakeholder Leadership: Credibility with

senior business, Finance, underwriting, Data and Technology stakeholders, with

the ability to facilitate decisions, challenge constructively and build

alignment where requirements differ.

·

Analytical & Structured Thinking:

Ability to break down ambiguous problems, trace business outcomes to source

data and transformations, and make pragmatic scope and sequencing decisions.

·

Governance & Data Quality: Practical

knowledge of data ownership, controls, lineage, reconciliation, access

management and quality standards in a regulated environment.

·

Delivery Leadership: experience leading

cross-functional teams and managing roadmaps, backlogs, risks and dependencies

using Agile and appropriate project disciplines.

·

Communication: Excellent written and

verbal communication, able to turn complex data and delivery issues into clear

choices, recommendations and executive-level updates.

Nice to Have

·

experience in commercial or specialty insurance,

particularly premium, underwriting, policy, commission or reinsurance data.

·

Understanding of Finance and underwriting

reporting, including how premium measures and definitions can vary across

business areas and reporting bases.

·

experience delivering enterprise data products

on a cloud data platform and enabling Power BI or comparable analytics

consumption.

·

experience using Jira, Confluence or similar

collaboration and delivery-management tools.

Job Title: Data Product Manager | Insurance

Location: London, UK

Job Type: Contract

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "A llegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

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