Director of Strategic Data Agile Product Management, leading data product execution and Agile delivery across Employee Benefits. Collaborating with various teams to ensure alignment with business objectives.
Responsibilities
Lead product execution across Strategic Data ART(s), ensuring delivery aligns to EB data strategy, enterprise data standards, and business priorities.
Translate Strategic Data vision and multi‑year data domain roadmaps into executable Epics, Features, and prioritized backlogs.
Ensure strong backlog health, readiness, and prioritization discipline, partnering with Agile Product Managers (APMs) and Agile Product Owners (APOs) across all Value Stream teams.
Leverage emerging technologies to deliver data capabilities with pace—driving innovation through rapid iteration, automation, and scalable product design.
Guide ARTs in defining PI Objectives and linking delivery commitments to measurable business outcomes.
Develop product KPIs, value metrics, and reporting mechanisms to measure adoption, quality, and business outcomes.
Translate business strategy, customer insights, and operational needs into actionable product strategies.
Lead, develop, and coach a team of Agile Product Owners, and matrixed team members supporting enterprise programs, including data demand(s) from across EB Portfolio.
Own the ART‑level product backlog, prioritize based on value, and serve as escalation point for trade‑offs.
Partner with Release Train Engineers (RTEs), Architects, Tech Leads, and Delivery Leads to ensure solutions align to the intended data product vision.
Promote consistent application of Agile principles, value‑based prioritization, and outcome‑oriented delivery practices.
Requirements
7+ years of experience in data product management, analytics, digital transformation, or related fields; EB experience preferred.
Proven experience leading Agile delivery at the program or ART level, with strong understanding of Agile product management practices (SAFe preferred).
Experience and proficiency with BI and analytics tools such as Tableau, ThoughtSpot, Power BI, or similar platforms.
Strong understanding of data models, data architecture, and modern data technologies, including ingestion, integration, curation, and analytics enablement.
Strong communication, influence, and relationship‑building skills with functional and technical audiences.
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