Sr. Data Product Manager - Supply Chain

AEO; Pittsburgh (Allegheny County); Hybrid; USD 110,000 - 130,000; Full time

Benefits offered by this job

Summer Fridays

Casual dress code

FOMO events

Job summary

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.

Responsibilities

• 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.

Skills

Product Ownership

Data Engineering

SQL

Agile/Scrum

Communication

Education

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

Tools

BigQuery

Databricks

Snowflake

Tableau

Power BI

Manhattan Active

Job description

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

• Summer Fridays
• Casual dress code
• 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 read more.
• AEO may also provide discretionary bonuses and other incentives at its discretion.

Equal Employment Opportunity

AEO is an Equal Opportunity Employer and is committed to complying with all federal, state and local equal employment opportunity ("EEO") laws. AEO prohibits discrimination against associates and applicants for employment because of the individual's race or color, religion or creed, alienage or citizenship status, sex (including pregnancy), national origin, age, sexual orientation, disability, gender identity or expression, marital or partnership status, domestic violence or stalking victim status, genetic information or predisposing genetic characteristics, military or veteran status, or any other characteristic protected by law. This applies to all AEO activities, including, but not limited to, recruitment, hiring, compensation, assignment, training, promotion, performance evaluation, discipline and discharge. AEO also provides reasonable accommodation of religion and disability in accordance with applicable law.