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Managing Director, Enterprise Data & Analytics

Job in Tualatin, Washington County, Oregon, 97062, USA
Listing for: LAM RESEARCH Corporation
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
  • Management
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 250000 - 420000 USD Yearly USD 250000.00 420000.00 YEAR
Job Description & How to Apply Below

The group you’ll be a part of

The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives. we have the strong financial foundation to fuel innovation and growth.

The impact you’ll make

Lam Research is seeking a Managing Director, Enterprise Data & Analytics to set and drive the strategic direction for how the company treats data as an enterprise asset. Reporting to the Chief Information Officer (CIO) within Global Information Systems (GIS), you will define the vision and multi-year strategy for a unified, trusted view of Lam's data across every part of the business and lead the organization that brings it to life.

This is a senior executive leadership role focused on direction and outcomes rather than day-to-day technology. You will shape the enterprise data strategy, establish the operating model and standards that govern how data is managed and used, and hold accountability for turning that strategy into measurable business value.

You will build and lead the global organization responsible for delivering it and serve as the senior voice for data across the company.

What you’ll own
  • The enterprise data and analytics strategy, vision, and multi-year roadmap.
  • A unified, trusted, enterprise-wide view of Lam's data across all parts of the business.
  • The operating model, standards, and governance for how data is owned, managed, and used.
  • Data quality and trust, ensuring the information used for decisions is reliable, accurate, and complete.
  • Data security and appropriate, well-governed access to data.
  • Integration of data across systems and functions into a single, trusted source of truth.
  • Enterprise analytics and insight capabilities that turn data into business value.
What you’ll do Strategy & Direction
  • Set and champion the multi-year vision and strategy for enterprise data and analytics, aligned to Lam's business priorities.
  • Define how data should be organized, governed, and used across the enterprise to create a single, trusted view of the business.
  • Establish the principles, standards, and priorities that guide investment and decision-making.
  • Build the business case and secure executive alignment and funding for the data strategy.
Execution & Business Value
  • Translate strategy into a clear roadmap and hold the organization accountable for delivering it.
  • Ensure data and analytics capabilities are trusted, reliable, and continuously improving as an enterprise service.
  • Measure and communicate the business value delivered, and adjust priorities as the business evolves.
Governance, Trust & Organizational Leadership
  • Establish enterprise data governance, ownership, and stewardship, with clear accountability for data across the business.
  • Ensure data is trusted, secure, and accessible, and that insight is available to support decisions across the company.
  • Build, lead, and develop a high-performing global data and analytics organization.
  • Act as the senior executive voice for data, developing talent and fostering a culture of accountability, innovation, and operational excellence.
Who we're looking for
  • 15+ years of progressive technology and business leadership, including significant experience leading enterprise data and analytics organizations at scale.
  • A proven track record of setting enterprise data strategy and delivering measurable business outcomes.
  • A deep understanding of how to govern, manage, and unlock the value of data as an enterprise asset.
  • Experience establishing the standards, operating models, and governance that make data trusted and usable across a large organization.
  • A demonstrated ability to translate…
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