Director Data Products
About The Position
Serve as the primary technical and delivery counterpart to Business Data Product Owners. Lead the end‑to‑end design of enterprise data products, including canonical data models, Integration patterns, APIs and consumption layers, Metadata, lineage, and quality rules Translate business requirements from BDPOs into scalable, reusable, and secure data product designs. Ensure data products align with enterprise architecture standards and long‑term platform strategy. Design products that are fit for analytics, operational reporting, and AI/ML use cases. Own delivery of data products from intake through production and adoption. Lead cross‑functional teams across Data Engineering, MDM, Analytics, Platform, and Governance. Drive agile execution: backlog management, sprint planning, releases, and dependency Leverage modern platforms including Databricks, Informatica, SAP, and Power BI. Contribute to a metadata‑driven, AI‑ready data ecosystem.
Requirements
- 12+ years experience in data product management, data engineering leadership, or large‑scale data delivery
- Strong track record translating business requirements into production‑grade data products
- Deep understanding of data architecture and integration, master and reference data concepts, analytics, reporting, and AI enablement, data governance operating models
- Experience leading delivery in complex, global, matrixed organizations
- Excellent communication skills—able to bridge business intent and technical execution
- Hands‑on experience with SAP (S/4), Informatica (MDM, DQ, Governance), Databricks
- Experience operating in a federated data product model with business‑led ownership
- Advanced degree in Engineering, Computer Science, Data, or related field
Nice To Haves
- Experience in semiconductor, manufacturing, or industrial domains
Responsibilities
- Serve as the primary technical and delivery counterpart to Business Data Product Owners
- Lead the end‑to‑end design of enterprise data products, including canonical data models, Integration patterns, APIs and consumption layers, Metadata, lineage, and quality rules
- Translate business requirements from BDPOs into scalable, reusable, and secure data product designs
- Ensure data products align with enterprise architecture standards and long‑term platform strategy
- Design products that are fit for analytics, operational reporting, and AI/ML use cases
- Own delivery of data products from intake through production and adoption
- Lead cross‑functional teams across Data Engineering, MDM, Analytics, Platform, and Governance
- Drive agile execution: backlog management, sprint planning, releases, and dependency
- Leverage modern platforms including Databricks, Informatica, SAP, and Power BI
- Contribute to a metadata‑driven, AI‑ready data ecosystem
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What This Job Offers
Job Type
Full-time
Career Level
Director
Number of Employees
5,001-10,000 employees
