Senior Data Product Manager, Delivery Transformation (Remote)
$161,000–$213,000 year
RemoteUnited States
Job Summary
Own the fulfillment data asset as a product by defining its vision, refining the canonical lifecycle model, and establishing the metrics architecture that rolls up to network-health signals. Build governed, trusted data products and telemetry signals that feed machine-learning workloads for intelligent routing, risk scoring, and service-level differentiation. Drive delivery predictability by decomposing work into estimable units, making trade-offs explicit, and maintaining integrated plans with visible dependencies. Ensure data reliability through strong observability, fast incident resolution, and cost-conscious design while validating adoption with business owners before build. Partner with engineering, analytics, and operations to connect the domain to the Enterprise Data Hub and shared semantic layer.
Required Qualifications
- 7+ years working in or directly with data engineering, data platform, analytics, or data-product teams
- 5+ years owning data or analytics products
- Direct data-product-management experience
- Demonstrated success owning end-to-end data products — from discovery and requirements through launch, adoption, and measurable business impact
- Experience owning work on shared or foundational data assets
- Experience defining a data domain from the ground up: canonical or domain modeling, event and entity design, and metrics or KPI architecture
- Deep familiarity with modern cloud data-warehouse and lakehouse architectures
- Deep familiarity with ELT and transformation patterns
- Deep familiarity with modeling frameworks and semantic and metrics layers
- Strong SQL
- Comfort to explore data and metadata — usage, quality, lineage, cost — yourself
- Experience partnering with data-science and machine-learning teams
- Supporting data teams on reliable data access, the right signals and features, performance, and monitoring
- Working knowledge of data governance
- Working knowledge of classification
- Working knowledge of access control
- Working knowledge of data-quality and observability practices
- Proven ability to build and execute multi-quarter, multi-team plans
- Ability to make and communicate trade-offs across competing initiatives
- Solid delivery discipline, including tracking progress against estimates
- Excellent communication skills
- Stakeholder management
- Ability to explain data and modeling concepts to non-technical audiences
- Ability to influence senior leaders
- Ability to work across engineering, architecture, operations, analytics, and the business
- A disposition that is friendly, flexible, pragmatic, and curious
- A desire to learn something new every day
- Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, when applicable
Desired Qualifications
- Experience in logistics, last-mile delivery, marketplace, food, or fulfillment domains
- Familiarity with the operational realities of delivery (dispatch, routing, tracking, driver and partner dynamics)
- Experience standing up the data foundation for models and decisioning systems — routing, risk scoring, forecasting, or recommendation
- Familiarity with modern AI-powered data-platform patterns (semantic layers, retrieval and search, conversational analytics)
- Experience building on top of, or migrating onto, a governed enterprise data platform and semantic layer
- Direct data-product-management experience strongly preferred
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