Key skills
SAP ERPS/4 HANABWERP implementationQuery tuningData engineeringELTData qualityData lineageData governanceIntegrations for real-time data flowExport control data securityInventory managementBacklog managementMargin analysisManufacturing dataSupply chain dataBOMsRoutingsWork ordersInventory transactionsQuality recordsLogistics eventsAIData EngineeringAnalyticsBIPower BISnowflakeDatabricksSpringERPSAPAgileProduct Management
About this role
RTX is the world's largest aerospace and defense company, striving to solve complex problems through advanced systems and services. The SAP Data Engineering Lead will lead data engineering initiatives and product management for supply chain and manufacturing, focusing on designing data products and developing analytics solutions.
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