Data Product Manager – Premium

🕒 il y a 24 jours

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 18%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Sedona Digital

Site WebLinkedInTous les Emplois

51 - 200 employés

💼 Conseil

🏥 Santé

📦 Logistique

Consulting • Healthcare • Logistics

Sedona Digital est une société de conseil en technologie orientée processus qui aide les entreprises à définir leur stratégie, à développer des produits basés sur l'IA et les données, à moderniser les applications et à sécuriser et gérer les environnements cloud natifs. Elle propose des services en stratégie technologique, architecture et ingénierie des données, IA et analyses prédictives, ingénierie de produits logiciels, migration vers le cloud et services gérés Azure, DevOps/CICD, ainsi que des capacités de sécurité et de centre opérationnel de sécurité (SOC) géré pour assurer des opérations et une conformité continues.

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

🎯 Exigences

• 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)

🏖️ Avantages

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

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