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

RTX is the world's largest aerospace and defense company, dedicated to solving complex problems. They are seeking a Product Owner & Data Engineering Lead for Supply Chain & Manufacturing, responsible for leading data engineering efforts and managing product roadmaps to optimize inventory and enhance analytics capabilities.

Responsibilities:

• Design domain-aware data products aligned to the business process hierarchy (items/BOMs, routings, work orders, inventory movements, quality events, logistics flows)
• Lead data engineering and integrations across ERP, MES, PLM with robust ELT, data quality, lineage, and governance
• Develop analytics solutions including inventory optimization, backlog health, margin insights, scrap reduction, and various products
• Advance capabilities from data modeling, reports and dashboards to GenBI while ensuring security and compliance
• Develop and communicate product roadmaps from reporting to AI-driven analytics
• Own the product backlog, driving sprint planning, prioritization, and iterative delivery
• Act as liaison between supply-chain/manufacturing stakeholders and technical teams

Requirements:

• Typically requires a University Degree and minimum 12 years prior relevant experience or an 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
• 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