{"id":2481142,"url":"https://alion.io/job/sedgwick-director-product-management-enterprise-data-platform","title":"Director, Product Management – Enterprise Data Platform","company":{"id":5707,"name":"Sedgwick","domain":"sedgwick.com","url":"https://alion.io/company/sedgwick","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":37,"ghost_share":0,"stale_share":0.838,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Product","role_family":"Product","seniority":"head","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":107667,"max":150734,"currency":"USD","period":"year","gross":null,"usd_annual":150734},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FinOps","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Master Data Management","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-13T22:45:20Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-22T00:08:16Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.\nNewsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies\nCertified as a Great Place to Work®\nFortune Best Workplaces in Financial Services & Insurance\nDirector, Product Management - Enterprise Data PlatformPrimary Purpose\nThe Director, Product Management - Data Systems leads product strategy for our enterprise data foundation, including the Snowflake-based platform and supporting data systems that power OmniAnalyst, OmniInsights, and our broader data product ecosystem. Reporting to the Vice President of Data Product Management, this role defines the capabilities, governance, and roadmap needed to deliver scalable, secure, and trusted data products across the enterprise.\nAs the product leader for the data platform, this individual serves as the primary intake and prioritization point for platform requests, aligns stakeholders across business and technology teams, and ensures the platform delivers business value while maintaining long-term scalability, performance, and cost efficiency.\nEssential Responsibilities\nDefine Platform Capabilities\nDefines the capabilities required of the enterprise data foundation, including governed data sharing, access controls, entity resolution, semantic models, shared definitions, and data quality standards.\nPartners with Data Architecture and Data Engineering to design scalable, secure, and well-governed platform capabilities aligned with enterprise standards.\nChampions modern data architecture practices, including data mesh and layered (medallion) architectures, to drive consistency and reusability across the enterprise.\nEstablishes standards for semantic context, metadata, governance, and data design to ensure data is consistently understood by business users, analytics tools, and AI applications.\nSet Vision & Roadmap for Data Systems\nDefines and owns the vision and multi-year roadmap for the enterprise data foundation, beginning with the Snowflake platform and evolving as business needs grow.\nPartners with Data Architecture leadership, business stakeholders, and internal data consumers to align platform investments with enterprise priorities.\nCollaborates with product leaders supporting OmniAnalyst, OmniInsights, and other data products to ensure platform capabilities meet downstream product needs.\nEstablishes and monitors platform success measures, including data quality, availability, performance, adoption, operational efficiency, and cost optimization.\nApplies Product Operating Model principles to platform intake, prioritization, backlog management, and outcome measurement.\nIntake, Prioritization & Platform Governance\nOwns the intake and prioritization process for enterprise data platform initiatives, maintaining a transparent framework for evaluating business requests.\nBalances business value, urgency, risk, dependencies, effort, and cost when prioritizing platform investments and managing tradeoffs.\nMaintains a strategic backlog and facilitates stakeholder alignment through recurring prioritization forums and governance discussions.\nIdentifies demand trends and opportunities for reusable platform capabilities that improve efficiency and scalability.\nDrive Platform Delivery\nPartners with Data Engineering, Data Architecture, Governance, and platform administration teams to deliver roadmap commitments and platform enhancements.\nTranslates business requirements into technical product requirements, user stories, and acceptance criteria for data models, pipelines, access patterns, and platform services.\nLeverages SQL and strong technical fluency to validate delivered solutions and ensure business requirements are met.\nPartners with Governance and FinOps teams to manage platform consumption, forecast costs, and promote cost-effective platform growth.\nEnsures the platform supports analytics, data science, and AI workloads through strong data quality, lineage, governance, semantic context, and performance management.\nEstablishes performance metrics, reporting, and documentation standards that support platform adoption, reliability, and continuous improvement.\nCross-Functional Partnership & Stakeholder Engagement\nBuilds alignment across business, operations, technology, governance, security, privacy, and compliance stakeholders.\nEnsures appropriate platform controls are implemented and maintained, including role-based access, masking policies, data classification, retention, lineage, and auditability.\nCommunicates platform strategy, releases, priorities, and performance through executive reporting, documentation, and stakeholder engagement.\nActs as a trusted advisor on data platform capabilities, governance requirements, and strategic opportunities.\nMaintains awareness of emerging Snowflake capabilities and modern data architecture trends to inform platform strategy.\nQualifications\nEducation\nBachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field required.\nAdvanced degree a plus.\nSnowflake certification (e.g., SnowPro Core or SnowPro Advanced Architect) preferred.\nExperience\nTen (10) or more years of experience in product management, data platform, data engineering, or data architecture roles, including at least five (5) years in technical product management for data platforms.\nHands-on experience with Snowflake, either as a technical practitioner or product owner of a Snowflake-based platform.\nStrong experience with modern data architecture concepts including data warehousing, data mesh, dimensional modeling, layered (medallion) architecture, semantic modeling, and ELT pipelines.\nDemonstrated success shaping data platform capabilities, influencing engineering direction, and partnering across business and technology teams.\nExperience leading intake and prioritization processes for shared enterprise platforms serving multiple business units.\nExperience supporting analytics, data science, and AI-enabled use cases preferred.\nExperience with semantic layers, knowledge graphs, metadata management, entity resolution, master data management, or governed data-sharing solutions preferred.\nExperience working in regulated industries preferred.\nSkills & Knowledge\nStrong knowledge of enterprise data platform architecture, storage concepts, governance, performance optimization, and cost management.\nExpertise in data modeling, semantic modeling, metadata management, lineage, and data catalog concepts.\nStrong SQL proficiency with the ability to independently validate data solutions and review technical designs.\nFamiliarity with Snowflake governance and administration concepts including RBAC, secure data sharing, access controls, and consumption management.\nStrong prioritization, stakeholder management, communication, and executive influencing skills.\nUnderstanding of how data quality, governance, and semantic context impact analytics and AI outcomes.\nAbility to lead through influence in highly matrixed environments while balancing business priorities, technical constraints, and long-term platform health.\nStrong knowledge of Agile methodologies and Product Operating Model practices.\nAs required by law, Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and cost of specific location. For the jurisdiction noted in this job posting only, the range of starting pay for this role is (107,667.00 - 150,734.00 USD Annual). A comprehensive benefits package is offered including but not limited to, medical, dental, vision, 401k and matching, PTO, disability and life insurance, employee assistance, flexible spending or health savings account, and other additional voluntary benefits.\nSedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.\nIf you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. 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