Supply Chain Jobs 2026 (Now Hiring) – Smart Auto Apply

We are transforming how data and analytics deliver value across our global manufacturing ecosystem-shifting from siloed projects to domain-owned, product-centric delivery. The Product Manager, Data - Supply Chain will lead the strategy, development, and management of data-driven products that enhance and enable supply chain operations. This leader owns the full product lifecycle-from discovery and roadmap definition through delivery, adoption, and continuous improvement-ensuring each product directly advances outcomes such as productivity, yield, sustainability, and cost efficiency. This role requires a strategic thinker with a deep understanding of data analytics, data product management, and technology trends. The ideal candidate will act as the strategic bridge between business functions, data platform engineering, and AI enablement, shaping a globally scalable portfolio of data products that adheres to enterprise governance, FinOps, and AI risk frameworks.

Key Responsibilities:

• Strategic Leadership
• Define the vision and strategic roadmap for manufacturing data products in alignment with enterprise data strategy and platform capabilities.
• Establish consistent standards for product management, backlog prioritization, and value measurement.
• Identify opportunities for technology-driven improvements and innovations within the supply chain.
• Partner with Data Platform and Architecture teams to ensure data products are scalable, secure, and interoperable across domains.
• Translate enterprise priorities into clear, actionable domain product roadmaps that balance innovation, compliance, and technical sustainability.
• Portfolio & Delivery Management
• Oversee the data product portfolio: lifecycle management, investment planning, and roadmap execution.
• Prioritize across domains based on business value, readiness, and capacity - using intake, ITOC, and BRM processes for governance and alignment.
• Ensure product roadmaps integrate with the broader Data Platform 2.0 architecture (Bronze/Silver/Gold, Iceberg/S3, Glue, Lake Formation, Snowflake, Power BI).
• Track KPIs: adoption rate, data product usage, cost per TB, cycle time, and ROI metrics.
• Drive cross-domain collaboration and dependency management to maximize reuse and avoid duplication of effort.
• Governance & Enablement
• Embed governance and AI risk reviews into product lifecycle.
• Ensure adherence to data quality, metadata, lineage, and FinOps standards.
• Partner with the Security and Risk teams to ensure all products meet global regulatory and compliance requirements.
• Advocate for product reusability, domain ownership, and self-service enablement.
• Stakeholder Engagement
• Build strong relationships with Enterprise Supply Chain domain leaders and IT counterparts to align priorities and outcomes.
• Represent the manufacturing data product portfolio at executive steering committees and enterprise planning sessions.
• Communicate the business impact of data investments in measurable terms - connecting analytics outcomes to operational and financial KPIs.
• Serve as an evangelist for data as a product, driving awareness and adoption across the enterprise.

Skills: Skills Required:

8-12+ years of experience in data product management, data strategy, or analytics leadership, with a focus on supporting supply chain operations within a global manufacturing or industrial enterprise.

• Proven experience leading teams of product owners, analysts, or engineers.
• Deep understanding of data product management principles, domain ownership, and data mesh concepts.
• Strong grasp of modern cloud data platforms and toolsets (AWS, Snowflake, Databricks, Glue, Lake Formation, Power BI, dbt).
• Familiarity with FinOps, AI Risk, and Data Governance frameworks.
• Demonstrated ability to translate business strategies into technical data solutions and measurable value delivery.
• Skilled communicator able to influence senior business and technical leaders in a matrixed global organization.
• Experience in agile methodologies (Scrum, Kanban, SAFE) with hands-on product delivery oversight.
• Strong problem-solving skills and the ability to think strategically and analytically.

Master's degree in Supply Chain Management, Engineering, Data Science, Business, or a related field.

A Master's degree or MBA is preferred.

70-75/HR