Senior Data Product Owner - Remote (GCP, BigQuery, Ecommerce)

Evolvesquads inc.

United States

Remote

USD 130,000 - 190,000

Full time

11 hours ago

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Job summary

Evolvesquads inc. is seeking a Senior Data Product Owner to bridge business needs with Data Engineering for an enterprise data platform on Google BigQuery. You will craft data-products, data marts, and semantic-layer requirements aligned with retail KPIs and governance.

This is a remote role with an initial 3–6 month engagement and Pacific Time availability. You will collaborate with Merchandising, Planning, Inventory, Ecommerce and Finance teams, and translate business requirements into

Qualifications

7+ years of experience in data analytics, data products, BI, data warehousing, or related roles.
Strong hands-on experience translating business requirements into technical data requirements.
Significant direct experience in fashion, apparel, specialty retail, or omnichannel retail environment.
Deep understanding of retail terminology, processes, data structures and KPIs.
Experience designing or defining dimensional data models and analytical data marts.
Advanced SQL skills and ability to interrogate large datasets.
Experience with cloud data warehouses or data lakes (BigQuery, Snowflake, Databricks, Redshift).
Experience working with Data Engineers on transformation logic and curated datasets.
Understanding of fact/dimension models, star schemas, slowly changing dimensions, data lineage, quality and contracts.

Responsibilities

Partner with business leaders across Merchandising, Planning & Allocation, Buying, Inventory, Store Ops, Ecommerce, Supply Chain, Finance, Marketing and Loyalty.
Lead discovery sessions to understand processes, KPIs, reporting requirements, analytics use cases and data pain points.
Translate business needs into technical requirements for Data Engineers.
Create data-product requirements, user stories, acceptance criteria, mappings and metric definitions.
Own and prioritize the backlog for business-facing data products and data marts.
Define reusable, trusted data models for sales, demand, inventory and other metrics.
Define product hierarchies including department, class, style, color, size, SKU, store, region, channel.
Ensure common metrics have a single enterprise definition across dashboards, SQL, and AI apps.