Senior Data Product Manager, Delivery Transformation
New
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ezCaterFood Tech
Location: RemoteFull-TimeSenior
Salary$161,000–$213,000 annually
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Job Details
- Experience
- 7+ years working in or directly with data engineering, data platform, analytics, or data-product teams; 5+ years owning data or analytics products.
- Required Skills
- SQLMachine LearningProduct ManagementData engineeringStakeholder managementData modeling
Requirements
- 7+ years working in or directly with data engineering, data platform, analytics, or data-product teams.
- 5+ years owning data or analytics products, with direct data-product-management experience.
- Proven track record of owning end-to-end data products from discovery to launch.
- Experience defining data domains, including canonical/domain modeling and KPI architecture.
- Deep familiarity with modern cloud data-warehouse and lakehouse architectures.
- Expertise in ELT/transformation patterns and semantic/metrics layers.
- Strong SQL proficiency for data exploration, validation, and debugging.
- Experience partnering with data-science and machine-learning teams on shared foundations.
- Knowledge of data governance, access control, and quality/observability practices.
- Strong project management skills for multi-quarter, multi-team initiatives.
- Excellent communication and influence skills for non-technical and executive stakeholders.
- Ability to travel up to 5 days per quarter for team gatherings.
Responsibilities
- Define and refine the vision, strategy, and roadmap for the fulfillment data domain.
- Manage the canonical fulfillment lifecycle model, including events, entities, and relationships.
- Develop a robust metrics architecture to provide operational and performance visibility.
- Build and deliver production-ready, governed data products for analytics and downstream models.
- Ensure the data foundation effectively supports machine-learning workloads like routing and risk scoring.
- Decompose projects into estimable units and manage multi-team delivery plans.
- Monitor data quality, freshness, and observability to ensure product reliability.
- Drive adoption through documentation, training, and collaboration with business owners.
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