Data Product Manager – Premium

Sedona Digital

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

Posted 10/13/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and managing data products, with a strong focus on financial management and underwriting performance. Capable of leading cross-functional teams, managing roadmaps, and ensuring data quality and compliance in a regulated environment.

Highest-signal resume keywords

Data Product ManagementFinancial ManagementCross-Functional Team LeadershipAgile Project ManagementData Quality Standards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data OwnershipData LineageData ReconciliationData Access ManagementData TransformationData ModelingReporting and AnalyticsBusiness Rules DefinitionStakeholder EngagementDecision-Making Facilitation

Soft Skills

CommunicationProblem-SolvingRelationship BuildingConstructive ChallengeTeam Mobilization

Tools & Technologies

Power BIJiraConfluenceCloud Data Platforms

Industry Keywords

Premium DataUnderwritingInsuranceFinancial ReportingCommercial Insurance

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Define and communicate the vision, outcomes and roadmap for the Premium data product
Lead discovery with Finance, underwriting and business stakeholders to understand processes, reporting needs, pain points and data flows
Own the product across source data, interfaces into the Unified Data Ecosystem, transformation, conformance and consuming products
Drive alignment of premium, commission and related data through common grain, definitions, dimensions and business rules
Establish relationships with senior Finance leaders, business product owners, subject-matter experts, Data, Technology and external partners
Maintain an integrated roadmap and backlog covering source readiness, interfaces, platform capability, transformation, reporting and adoption
Define the cross-functional team structure, capabilities, roles and capacity required for delivery; identify resource gaps and mobilise teams
Matrix-manage engineering, architecture, data quality, analysis, reporting and testing specialists through discovery, design, build, validation and release
Define ownership, lineage, metadata, access controls, reconciliation and quality expectations
Define success measures, monitor product health and usage, and drive adoption in reporting and decision-making
Agree the transition from change to run, including stewardship, support, small-change prioritisation and ongoing improvement

Requirements

What you’ll need

Proven experience defining and managing data products from discovery and strategy through delivery, adoption and ongoing stewardship
Strong ability to understand how premium data supports financial management, underwriting performance, planning, reporting and executive decision-making
Experience working across multiple source systems, business units and data models to establish common definitions, aligned grain and reusable data structures
Credibility with senior business, Finance, underwriting, Data and Technology stakeholders; ability to facilitate decisions, challenge constructively and build alignment
Ability to break down ambiguous problems, trace business outcomes to source data and transformations, and make pragmatic scope and sequencing decisions
Practical knowledge of data ownership, controls, lineage, reconciliation, access management and quality standards in a regulated environment
Experience leading cross-functional teams and managing roadmaps, backlogs, risks and dependencies using Agile and appropriate project disciplines
Excellent written and verbal communication, able to turn complex data and delivery issues into clear choices, recommendations and executive-level updates
Experience in commercial or specialty insurance, particularly premium, underwriting, policy, commission or reinsurance data (nice to have)
Understanding of Finance and underwriting reporting (nice to have)
Experience delivering enterprise data products on a cloud data platform and enabling Power BI or comparable analytics consumption (nice to have)
Experience using Jira, Confluence or similar collaboration and delivery-management tools (nice to have)

Benefits

Comp & perks

Investment in learning and long-term careers
Open, collaborative culture
Exposure to high-performance data platforms and cloud infrastructure