Sr. Data Product Manager

Sr. Data Product Manager

Location: Seattle, WA 98101 (Hybrid: 4 days onsite/1 day remote)

Duration: 03 Months (Possible extension)

Shift: 9:00 AM to 5:00 PM

Product Strategy and Roadmap

Own the multi-year vision: from today's reliable Looker reporting through intelligence and proactive next-best-action capabilities. Move a fragmented, desktop-bound reporting environment to intelligent, device-agnostic, role-based reporting, delivered in prioritized increments. Maintain momentum on metric definition and certification work. Be the product voice in architectural and data governance discussions.

Delivery and Execution

Drive delivery across active initiatives and optimizations. Write user stories and acceptance criteria across domain dependencies without support; keep a refined backlog sequenced by user impact, business value, and engineering effort. Proactively identify and manage risks, cross-team dependencies, and sequencing trade-offs, escalating with documented recommendations when appropriate. Define and track success metrics for shipped features; drive root cause analysis and roadmap adjustments based on telemetry and user feedback.

User Research and Insights

Understand and lead discovery as needed with full user population (store leaders, department managers, sellers, etc.), synthesizing findings independently to identify unmet needs and prioritization signals.

Stakeholder Alignment

Drive alignment across a complex matrix: Insights Delivery Engineering, CIA/data team, business stakeholders, store operations, and director/VP leadership. Own communications up and down the pyramid, from technical trade-offs with engineering to business impact narratives for leadership review.

Collaboration and Influence

Encourages innovation across functions and domains; orchestrates planning within the store reporting domain and across dependencies. Influences roadmap up and down the pyramid; ensures seamless collaboration for impactful deliveries without relying on manager direction.

Discovery and Insights

Leads customer research independently; synthesizes findings into clear opportunity statements and prioritization inputs. Demonstrates deep understanding of market and competitive trends in retail analytics and BI; incorporates those signals into roadmap decisions.

Definition and Decomposition

Defines product scope and removes ambiguity without support; aligns stakeholders up and down the pyramid on scope and boundaries. Writes user stories and acceptance criteria that influence across domains; brings sufficient technical depth to enable extensible design decisions. Evangelizes test-and-learn; demonstrates product-market fit and makes roadmap adjustments based on measurement without management prompting.

Drives Impact

Drives progress across the broader store reporting domain; proactively manages risks and dependencies rather than waiting for issues to surface. Communicates business impact without support; independently drives roadmap adjustments based on evidence; knows when to escalate with a recommendation.

Prioritization and Planning

Balances short-term deliverables with long-term progress across the domain with support; aligns to business unit strategy. Develops timeline within the product line without support; partners with engineering leadership on scope, sequencing, and sprint planning. Defines success criteria, including go-to-market; coordinates across functional and domain boundaries. Frames trade-offs with conviction in the broader context; provides documented recommendations to leadership.

Strategy and Vision (Nice to Have)

Crafts a multi-year product vision for store reporting; aligns to company's strategic vision without support; evangelizes across the org. Defines the approach within the store reporting domain; develops a multiphase strategy with clear direction; drives cross-org alignment.

Qualifications

5+ years of product management experience, with a demonstrated track record of owning a product domain end-to-end at the Senior PM level. Experience with enterprise BI and reporting platforms, particularly Looker, and how they integrate with modern cloud data ecosystems (GCP/BigQuery strongly preferred). Hands-on experience driving platform migration or consolidation efforts, including legacy deprecation, user change management, and stakeholder alignment. Strong foundational knowledge of data governance concepts: metric certification, semantic layers, data ownership models, and the distinction between data producers and consumers. Fluency in data engineering and analytics fundamentals, SQL, data warehousing, pipeline concepts, sufficient to engage credibly with engineering on trade-offs. Demonstrated ability to operate independently in ambiguous, matrixed environments; proactively identify and closes gaps without waiting for direction. Strong written and verbal communication skills; able to produce crisp, audience-appropriate artifacts for both leadership and engineering audiences. Preferred: Experience with conversational analytics, agentic AI, or LLM-powered product development. Familiarity with company's store operations context, store leader personas, or retail workforce management.