Sr. Data Product Manager - Supply Chain

Socket.dev; Pittsburgh (Allegheny County); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Generous employee discount

Summer Fridays

Casual dress code

Hybrid schedule

FOMO events

Job summary

American Eagle is seeking a Sr. Data Product Manager in Pittsburgh, PA or New York, NY. You will own end-to-end data assets for inventory optimization, logistics efficiency, and demand forecasting, turning ERP/WMS/TMS data into a single source of truth for real-time decisions.

You’ll bridge business logic with data engineering, lead data pipelines, and guide analytics products with a focus on scalable modeling and governance. Hybrid work and strong SQL/BI skills are essential.

Qualifications

• Bachelor’s degree in a quantitative field.
• 5+ years in data-focused roles, incl. 2+ years in Supply Chain, Logistics, or Retail Ops.
• Experience as Product Owner in Agile/Scrum environment.
• Strong SQL and cloud data warehouse experience (BigQuery, Databricks, Snowflake).
• Experience with BI tools (Tableau/Looker/Power BI).
• Able to translate business requirements into technical specs.

Responsibilities

• Define and execute multi-year data strategy for Supply Chain domain.
• Translate business requirements into detailed technical user stories and diagrams.
• Design scalable supply-chain data schemas for long-term use.
• Oversee ELT/ETL pipelines and analytics products with low latency dashboards.
• Collaborate with S&OP, Procurement, Logistics on AI/ML for analytics.

Skills

SQL

Data Analytics

Stakeholder Management

Agile/Scrum

Communication

Education

Bachelor's Degree in a quantitative field

Tools

BigQuery

Databricks

Snowflake

Job description

Title: Sr. Data Product Manager

Reports To: Sr. Director - Data Analytics

Location: Pittsburgh, PA or New York, NY

American Eagle is a youth culture brand grounded in denim. Our purpose extends beyond making the best jeans–we embrace self expression, culture, optimism and connection. Through the brand platform Live Your Life, we empower our community to be who they want to be all while wearing the clothes that make them most confident.

Get to Know the Role:

As the Sr. Data Product Manager, you will be the architect and visionary behind the data products that power our global Supply Chain operations. You will own the end-to-end lifecycle of data assets that drive inventory optimization, logistics efficiency, and demand forecasting. You will bridge the gap between complex supply chain business logic and technical data engineering into scalable data models and high-performance BI tools. Your goal is to turn fragmented data across ERPs, WMS, and TMS into a single source of truth that empowers our Supply chain teams to make real-time decisions.

What You’ll Do:

• Product Roadmap & Vision: Define and execute the multi-year data strategy for the Supply Chain domain. Prioritize the product backlog using a value-driven approach, ensuring the most impactful features are built first.


• Technical Product Ownership: Act as the primary liaison between Supply Chain stakeholders and Data Technology Teams. Translate business requirements into detailed technical user stories, acceptance criteria, and architectural diagrams.


• Advanced Data Modeling: Lead the design of supply-chain-specific data schemas to ensure long-term scalability.


• End-to-End Orchestration: Oversee the development of data pipelines (ELT/ETL) and analytics products, ensuring that data moving from warehouse floor systems to executive dashboards is seamless, low-latency, and accurate.


• Stakeholder Influence: Partner with S&OP, Procurement, and Logistics leaders to identify opportunities and provide technical guidance on how to leverage AI/ML for predictive supply chain analytics.


• Quality & Governance: Establish rigorous data validation frameworks in partnership with Data Governance Team and Data Engineering Teams..


• Agile Leadership: Lead Scrums, manage sprint cycles for the data team, and relentlessly remove blockers to ensure high-velocity delivery of data features.

What You Bring:

• Educational Core: Bachelor’s Degree in Supply Chain Management, Data Science, Computer Science, or a related quantitative field.


• Domain Expertise: 5+ years of experience in data-focused roles with at least 2 years specifically within Supply Chain, Logistics, or Retail Operations.


• Agile Product Ownership: Proven experience acting as a Product Owner in an Agile/Scrum environment. You know how to say \"no\" to low-value requests to protect the team’s bandwidth.


• Technical Stack: Expert-level SQL and deep experience with cloud data warehouses (e.g., BigQuery, Databricks, or Snowflake). Proficiency in BI tools (e.g., Tableau, Looker, or Power BI) with a focus on creating \"actionable\" analysis. Familiarity with Supply Chain systems like Manhattan Active


• Strategic Problem Solver: You don't just find data gaps; you design the bridge. You understand how a delay at a port affects a financial forecast three months down the line.


• Communication: The ability to explain a \"join\" or a \"latency issue\" to a Warehouse Manager and \"inventory turns\" to a Software Engineer without losing either of them.

Perks: Why You’ll Love it Here

• Generous employee discount


• Summer Fridays


• Casual dress code


• Hybrid schedule


• FOMO events (Exciting company-wide events

Pay/Benefits Information:

• Actual starting pay is determined by various factors, including but not limited to relevant experience and location.


• Subject to eligibility requirements, associates may receive health care benefits (including medical, vision, and dental); wellness benefits; 401(k) retirement benefits; life and disability insurance; employee stock purchase program; paid time off; paid sick leave; and parental leave and benefits.


• Paid Time Off, paid sick leave, and holiday pay vary by job level and type, job location, employment classification (part-time or full-time / exempt or non-exempt), and years of service. For additional information, please click here


• AEO may also provide discretionary bonuses and other incentives at its discretion.