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.
As the Director, Product Management - Data Systems, you will lead 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.
Essential Responsibilities
- Define Platform Capabilities: 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 aligned with enterprise standards.
- Set Vision & Roadmap for Data Systems: Define and own the vision and multi-year roadmap for the enterprise data foundation, beginning with the Snowflake platform and evolving as business needs grow. Partner with Data Architecture leadership, business stakeholders, and internal data consumers to align platform investments with enterprise priorities.
- Intake, Prioritization & Platform Governance: Own the intake and prioritization process for enterprise data platform initiatives, maintaining a transparent framework for evaluating business requests. Balance business value, urgency, risk, dependencies, effort, and cost when prioritizing platform investments and managing tradeoffs.
- Drive Platform Delivery: Partner with Data Engineering, Data Architecture, Governance, and platform administration teams to deliver roadmap commitments and platform enhancements. Translate business requirements into technical product requirements, user stories, and acceptance criteria for data models, pipelines, access patterns, and platform services.
- Cross-Functional Partnership & Stakeholder Engagement: Build alignment across business, operations, technology, governance, security, privacy, and compliance stakeholders. Ensure appropriate platform controls are implemented and maintained, including role-based access, masking policies, data classification, retention, lineage, and auditability.
Qualifications
- Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field required. Advanced degree a plus.
- Experience: Ten (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. Hands-on experience with Snowflake, either as a technical practitioner or product owner of a Snowflake-based platform.
- Skills & Knowledge: 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.