Product Owner & Data Engineering Lead: Supply Chain & Manufacturing (remote)

RTX RTX · Aerospace · springfield, IL +1 · Digital Technology

This role is a Product Owner & Data Engineering Lead for Supply Chain & Manufacturing. The responsibilities include designing data products, leading data engineering and integrations, developing analytics solutions, and managing product roadmaps from reporting to AI-driven analytics. The role requires extensive experience in product/data ownership within supply chain/manufacturing, SAP ERP, and handling large datasets, with a preference for experience in MES, AI, and advanced analytics.

What you'd actually do

  1. Design domain-aware data products aligned to the business process hierarchy (items/BOMs, routings, work orders, inventory movements, quality events, logistics flows).
  2. Lead data engineering and integrations across ERP, MES, PLM with robust ELT, data quality, lineage, and governance.
  3. Develop analytics solutions including inventory optimization, backlog health, margin insights, scrap reduction, and various products.
  4. Advance capabilities from data modeling, reports and dashboards to GenBI while ensuring security and compliance.
  5. Develop and communicate product roadmaps from reporting to AI-driven analytics.

Skills

Required

  • University Degree and minimum 12 years prior relevant experience OR Advanced Degree in a related field and minimum 10 years of experience OR in absence of a degree, 16 years of relevant experience
  • 15+ years of experience in product /data ownership in supply chain, manufacturing or operations and SAP ERP, S/4 HANA, BW, and ERP implementation.
  • 10+ years of experience with query tuning handling extremely large data sets.
  • 5+ years of experience designing / building integrations for real-time data flow and securing export control data.
  • Hands-on delivery across inventory, backlog, margins, and other manufacturing domains.
  • Experience with manufacturing and supply chain data including BOMs, routings, work orders, inventory transactions, quality records, and logistics events.

Nice to have

  • Experience with MES, ERP, and planning tools.
  • Familiarity with SCOR model.
  • Experience implementing row level and column level security.
  • Experience in agile methodologies, backlog ownership, and spring planning.
  • Experience with Snowflake/Databricks data engineering.
  • Knowledge of Visualization platforms such as SAC and Power BI.
  • Knowledge of AI, advanced analytics, and security / compliance requirements.

What the JD emphasized

  • U.S. citizenship is required
  • 15+ years of experience in product /data ownership in supply chain, manufacturing or operations and SAP ERP, S/4 HANA, BW, and ERP implementation.
  • 10+ years of experience with query tuning handling extremely large data sets.
  • 5+ years of experience designing / building integrations for real-time data flow and securing export control data.