Senior Data Product Manager, Delivery & Fulfillment
New
J
JobgetherLogistics, Fulfillment
Based in the United StatesFull-TimeSenior
Salary$161,000–$213,000 annually, including base salary and target bonus.
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Job Details
- Experience
- 7+ years of experience working in or closely with data engineering, data platform, analytics, or data product teams; 5+ years of experience owning data or analytics products
- Required Skills
- SQLMachine LearningStakeholder managementData modelingData analytics
Requirements
- 7+ years of experience in data engineering, data platform, analytics, or data product teams.
- 5+ years of experience owning data or analytics products.
- Proven success taking data products from discovery through launch and adoption.
- Strong knowledge of canonical modeling, event design, and metrics architecture.
- Deep familiarity with cloud data warehouses, lakehouse architectures, ELT, and semantic layers.
- Strong SQL skills for independent data exploration and quality assessment.
- Experience partnering with data science and machine learning teams.
- Working knowledge of data governance, access controls, and observability practices.
- Ability to execute multi-quarter strategies and communicate trade-offs.
- Strong delivery discipline, including estimation and milestone tracking.
- Ability to travel up to 5 days per quarter for team events.
Responsibilities
- Define and evolve the vision, strategy, roadmap, and success metrics for the fulfillment data domain.
- Own the canonical fulfillment lifecycle model, including events, entities, and relationships.
- Establish and maintain metrics architecture across operational, geographic, and performance dimensions.
- Design data products for multiple consumption paths, including self-service analytics and model-driven signals.
- Ensure the data foundation reliably supports machine learning use cases like intelligent routing and risk scoring.
- Break complex initiatives into manageable data-product units and manage dependencies and milestones.
- Monitor cost and unit economics of data products while validating impact with business owners.
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