Data Product Manager (Premium)

Sedona Digital; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Sedona Digital is seeking a Data Product Manager (Premium) to shape and deliver a trusted, governed premium data product as part of Finance Transformation. You will collaborate with Finance, Technology and Architecture to define scope, roadmap and priorities across source systems and the Unified Data Ecosystem.

You will lead discovery, drive data governance and align cross-functional teams to deliver measurable value through dashboards, reporting and downstream use cases.

Qualifications

• Experience defining and managing data products from discovery and strategy through delivery, adoption and ongoing stewardship.
• Strong understanding of how premium data informs financial management, underwriting, planning and reporting.
• Experience across multiple source systems and data models to establish common definitions and reusable data structures.
• Credibility with senior business, Finance and Technology stakeholders to facilitate decisions and align requirements.
• Ability to break down ambiguous problems, trace outcomes to source data and make pragmatic scope decisions.
• Practical knowledge of data ownership, controls, lineage, and quality standards in regulated environments.
• Experience leading cross-functional teams and roadmaps using Agile and project disciplines.
• Excellent written and verbal communication; able to present complex data issues clearly to executives.

Responsibilities

• Define and communicate the vision, outcomes and roadmap for the Premium data product.
• Lead discovery with Finance and business stakeholders to map data flows and reporting needs.
• Own the product across source data, interfaces, transformation and conformance requirements.
• Drive alignment of premium and related data across business areas with common definitions.
• Establish stakeholder relationships and secure decision-making and accountability.
• Maintain integrated roadmaps and manage cross-team dependencies.
• Define team structure, capabilities and capacity to deliver the product across phases.
• Matrix-manage engineering, data quality, analytics and testing through delivery lifecycle.
• Define governance, metadata, access controls and data quality standards for trusted data.
• Define success measures and drive adoption to embed the product in reporting and decisions.
• Plan transition from change to run with ongoing stewardship and improvements.

Skills

Data product leadership

Insurance acumen

Complex data landscape

Stakeholder leadership

Analytical thinking

Data governance

Delivery leadership

Communication

Tools

Jira

Confluence

Job description

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 Romania.

Our global client base needs builders, engineers who enjoy designing and implementing scalable data platforms, have deep expertise in cloud data technologies, and take pride in delivering reliable, well‑governed solutions.

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 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.

Requirements

• 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.