Senior Technology Products Owner - Insurance Data Services

Accelerate your development and exposure to high‑performance data platforms and cloud infrastructure. Join Sedona Digital, a fast‑growing scale‑up with the ambition to be recognized as one of the leading technology companies in UK.

Our global client base needs product-minded professionals who can bridge business and technology, shape data product strategies, and turn complex data requirements into trusted, governed, and reusable data solutions. If you have experience in commercial or specialty insurance, particularly with premium, underwriting, policy, commission, or reinsurance data, and enjoy driving cross-functional collaboration and delivering measurable business value, this role is for you.

At Sedona, we:

• Obsess about our customers
• Build robust, scalable technical solutions
• Create an open, collaborative culture
• Invest in learning and long‑term careers

The Senior Technology Products Owner - Insurance Data Services is a key role within the Global Data Function, accountable for defining and executing the vision to deliver capabilities from Premium data products as part of the group Finance Transformation programme. Working closely to understand and meet the needs of senior business stakeholders such as heads of underwriting, policy, pricing and finance, the role combines creative spark and vision, with mature process assurance to ensure the Premium data products deliver iterative, quarterly business value whilst the team and processes show continuous improvement.

You will work across Product teams of 10-20 technical and business SMEs, as well as collaborating with the wider product management function and finance transformation stakeholders. Product technology delivery teams will include multi-cloud data services architecture and engineering, demanding the role defines the product vision, scope and roadmap required to create a trusted, governed and reusable view of Premium data. Products 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 continuously monitor and adjust ways of working from lead discovery and ongoing requirements management 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. Experience in commercial or specialty insurance is required, particularly with Premium, Underwriting, Policy, Commission or Reinsurance data.

Key Responsibilities :

• Product Strategy & Vision: Define and direct execution of the vision, outcomes and roadmap for the Premium data products, 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 and processes 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. 

• Commercial & Insurance Acumen: Strong ability to understand how premium data supports financial management, underwriting performance, planning, reporting and executive decision-making. 

• Data Product Leadership: Proven experience defining and managing data products from discovery and strategy through delivery, adoption and ongoing stewardship. 

• 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 

• 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.