Director Data Products

Director Data Products page is loaded## Director Data Products locations:
Santa Clara,CAtime type:
Full time posted on:
Posted 8 Days Agojob requisition :
R2611466
** Who We Are
** Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT.

If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
** What We Offer
** Salary:$ - $

Location:

Santa Clara,CAYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our .
** Director Data Products
**** Job Description**:
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.
** 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.
** Required Qualifications
*** 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.
** Preferred Qualifications
*** 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…