Product Owner & Data Engineering Lead: Supply Chain & Manufacturing
New
The successful candidate will be required to work from one of the 50 U.S. states (excluding U.S. Territories).Full-TimeLead
Salary157,200 USD - 298,800 USD / year
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Job Details
- Experience
- 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 16 years of relevant experience.
- Required Skills
- SQLProduct ManagementData engineeringAgile methodologies
Requirements
- University degree with 12+ years of experience, or Advanced degree with 10+ years of experience, or 16+ years of relevant experience without a degree.
- 15+ years of experience in product/data ownership within supply chain, manufacturing, or operations.
- Extensive experience with SAP ERP, S/4 HANA, BW, and ERP implementation.
- 10+ years of experience with query tuning for extremely large data sets.
- 5+ years of experience designing and building integrations for real-time data flows and securing export control data.
- Demonstrated hands-on delivery experience across inventory, backlog, margins, and manufacturing domains.
- Deep understanding of manufacturing/supply chain data including BOMs, routings, work orders, and logistics events.
- Experience with MES, ERP, and planning tools is preferred.
- Knowledge of Snowflake/Databricks data engineering is preferred.
- Proficiency with visualization platforms such as SAC and Power BI is preferred.
- Familiarity with Agile methodologies, backlog ownership, and sprint planning.
- Familiarity with SCOR model.
Responsibilities
- Design domain-aware data products aligned to business process hierarchies including BOMs, routings, work orders, inventory movements, and logistics flows.
- Lead data engineering and integration efforts across ERP, MES, and PLM systems using robust ELT, data quality, and governance practices.
- Develop analytics solutions for inventory optimization, backlog health, margin insights, and scrap reduction.
- Advance analytics capabilities from reports and dashboards to GenBI while ensuring data security and compliance.
- Develop and communicate product roadmaps extending from reporting to AI-driven analytics.
- Own the product backlog, driving sprint planning, prioritization, and iterative delivery.
- Act as a primary liaison between supply-chain/manufacturing stakeholders and technical teams.
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