Director, Product Management – Enterprise Data Platform

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $107.7k - $150.7k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Sedgwick

WebsiteLinkedInAll Job Openings

10,000+ employees

🏗️ Construction

💼 Consulting

🏥 Healthcare

Construction • Consulting • Healthcare

Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.

📋 Description

• Define the capabilities required of the enterprise data foundation, including governed data sharing, access controls, entity resolution, semantic models, shared definitions, and data quality standards • Partner with Data Architecture and Data Engineering to design scalable, secure, and well-governed platform capabilities • Champion modern data architecture practices, including data mesh and layered (medallion) architectures • Establish standards for semantic context, metadata, governance, and data design • Define and own the vision and multi-year roadmap for the enterprise data foundation, beginning with the Snowflake platform • Align platform investments with enterprise priorities and downstream data product needs • Establish and monitor platform success measures, including data quality, availability, performance, adoption, operational efficiency, and cost optimization • Apply Product Operating Model principles to platform intake, prioritization, backlog management, and outcome measurement • Own intake and prioritization for enterprise data platform initiatives • Balance business value, urgency, risk, dependencies, effort, and cost when prioritizing investments • Maintain a strategic backlog and facilitate stakeholder alignment through prioritization forums and governance discussions • Identify demand trends and opportunities for reusable platform capabilities • Partner with Data Engineering, Data Architecture, Governance, and platform administration teams to deliver roadmap commitments • Translate business requirements into technical product requirements, user stories, and acceptance criteria • Leverage SQL and technical fluency to validate delivered solutions • Partner with Governance and FinOps teams to manage platform consumption, forecast costs, and promote cost-effective growth • Ensure support for analytics, data science, and AI workloads through data quality, lineage, governance, semantic context, and performance management • Establish performance metrics, reporting, and documentation standards • Build alignment across business, operations, technology, governance, security, privacy, and compliance stakeholders • Ensure implementation and maintenance of role-based access, masking policies, data classification, retention, lineage, and auditability controls • Communicate platform strategy, releases, priorities, and performance through executive reporting, documentation, and stakeholder engagement • Act as a trusted advisor on data platform capabilities, governance requirements, and strategic opportunities • Maintain awareness of emerging Snowflake capabilities and modern data architecture trends

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field required • Ten (10) or more years of experience in product management, data platform, data engineering, or data architecture roles • At least five (5) years in technical product management for data platforms • Hands-on experience with Snowflake, either as a technical practitioner or product owner of a Snowflake-based platform • Strong experience with data warehousing, data mesh, dimensional modeling, layered (medallion) architecture, semantic modeling, and ELT pipelines • Demonstrated success shaping data platform capabilities, influencing engineering direction, and partnering across business and technology teams • Experience leading intake and prioritization processes for shared enterprise platforms serving multiple business units • Strong knowledge of enterprise data platform architecture, storage concepts, governance, performance optimization, and cost management • Expertise in data modeling, semantic modeling, metadata management, lineage, and data catalog concepts • Strong SQL proficiency with the ability to independently validate data solutions and review technical designs • Familiarity with Snowflake governance and administration concepts including RBAC, secure data sharing, access controls, and consumption management • Strong prioritization, stakeholder management, communication, and executive influencing skills • Understanding of how data quality, governance, and semantic context impact analytics and AI outcomes • Ability to lead through influence in highly matrixed environments while balancing business priorities, technical constraints, and long-term platform health • Strong knowledge of Agile methodologies and Product Operating Model practices

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • 401(k) and matching • Paid time off (PTO) • Disability insurance • Life insurance • Employee assistance • Flexible spending account or health savings account • Other additional voluntary benefits • Work-life balance • Equal opportunity and drug-free workplace