Data Product Manager – Premium

Job not on LinkedIn

🔥 1 minute ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sedona Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Sedona Digital is a process-led technology consultancy that helps enterprises define strategy, build AI- and data-driven products, modernise applications and secure and operate cloud-native environments. They offer services across technology strategy, data architecture and engineering, AI and predictive analytics, software product engineering, cloud migration and Azure managed services, DevOps/CICD, plus security and managed SOC capabilities to deliver ongoing operations and compliance.

📋 Description

• 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

• 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

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