Senior Data Product Manager - Supply Chain Analytics

AEO; Pittsburgh (Allegheny County); Hybride; USD 110 000 - 130 000; Plein temps

Avantages offerts par ce poste

Summer Fridays

Casual dress code

FOMO events

Résumé du poste

A leading retail company is searching for a Sr. Data Product Manager to oversee the data products powering their supply chain operations. The successful candidate will manage the end-to-end lifecycle of data assets, ensuring they drive inventory optimization and logistics efficiency. A Bachelor's degree and 5+ years' experience in data roles, particularly in supply chain contexts, are essential. The position allows for flexibility based in either Pittsburgh or New York, and offers a collaborative environment focused on continuous improvement in data processes.

Qualifications

• 5+ years of experience in data-focused roles in Supply Chain, Logistics, or Retail Operations.
• Proven experience as a Product Owner in an Agile/Scrum environment.
• Expert-level SQL and experience with cloud data warehouses.

Responsabilités

• Define and execute the data strategy for the Supply Chain domain.
• Act as the primary liaison between stakeholders and Data Technology Teams.
• Lead the design of supply-chain-specific data schemas.

Connaissances

Product Ownership

Data Engineering

SQL

Agile/Scrum

Communication

Formation

Bachelor's Degree in Supply Chain Management, Data Science, Computer Science

Outils

BigQuery

Databricks

Snowflake

Tableau

Power BI

Manhattan Active

Description du poste

A leading retail company is searching for a Sr. Data Product Manager to oversee the data products powering their supply chain operations. The successful candidate will manage the end-to-end lifecycle of data assets, ensuring they drive inventory optimization and logistics efficiency. A Bachelor's degree and 5+ years' experience in data roles, particularly in supply chain contexts, are essential. The position allows for flexibility based in either Pittsburgh or New York, and offers a collaborative environment focused on continuous improvement in data processes.