Director Data Products
About The Position
The Global Data Office drives the design and delivery of the enterprise data strategy across Applied Materials. The rapid growth in semiconductor markets across the world presents unprecedented challenges and opportunities in manufacturing, supply chain and logistics. In this role, you will spearhead trusted, intelligent and reusable data products that accelerate decision-making, fuel agentic AI solution, and deliver business value. We need individuals who will partner directly with Business Data Product Owners, translate business goals, use cases, and priorities into data product roadmaps, data designs, and delivery plans. The Data Product Manager will own the “how” of data products—architecture, integration, quality, governance, and delivery. If you have a passion for the use of data and deploying data as products, you’ll fit right in.
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.
Nice To Haves
- Experience in semiconductor, manufacturing, or industrial domains.
- 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.
- Applicable Data Domains This role may be assigned one or more enterprise data domains, including: Customer Parts Vendor/Supplier Bill of Materials Lab and Fab Operations Workforce
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
Education Level
No Education Listed
