Senior Data Product Manager

ezCater

Completely RemoteFull TimeInformation Technology
Posted Yesterday

Job description

Responsibilities

  • Own the fulfillment data asset as a product, defining vision and strategy for the fulfillment data domain
  • Own the canonical fulfillment lifecycle model, including events, entities, and relationships
  • Define the metrics architecture for operational, geographic, and performance views
  • Build governed, trusted data products for analytics, self-service, and machine learning workloads
  • Ensure data foundation reliably serves machine-learning models for routing, prediction, and risk scoring
  • Drive delivery, predictability, and data health, including freshness, accuracy, and observability
  • Partner with engineering, architecture, and delivery operations to act as the authoritative expert on the fulfillment data domain

Requirements

  • 7+ years working in or directly with data engineering, data platform, analytics, or data-product teams
  • 5+ years owning data or analytics products
  • Demonstrated success owning end-to-end data products from discovery to launch
  • Experience defining data domains, canonical modeling, and KPI architecture
  • Deep familiarity with modern cloud data-warehouse and lakehouse architectures
  • Strong SQL skills for data and metadata exploration
  • Experience partnering with data-science and machine-learning teams
  • Working knowledge of data governance, classification, and observability practices
  • Excellent communication and stakeholder management skills
  • Ability to travel up to 5 days per quarter for team gatherings

Preferred Qualifications

  • Experience in logistics, last-mile delivery, marketplace, or food domains
  • Experience standing up data foundations for decisioning systems like routing or forecasting
  • Familiarity with modern AI-powered data-platform patterns
  • Experience migrating onto a governed enterprise data platform

About the Company

ezCater is the #1 food tech platform for workplaces in the US, connecting organizations with over 125,000 restaurants nationwide to manage their food needs.

Skills & tools

SQLProduct ManagementData Modeling

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 017+ years in data engineering or analytics teams
  2. 025+ years owning data or analytics products
  3. 03Experience with cloud data-warehouse and lakehouse architectures
  4. 04Strong SQL skills
  5. 05Experience with data governance and observability
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