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Your AI CoE Team

The AI Center of Excellence brings together experts from across Western Digital to drive innovation, ensure compliance, and deliver secure AI solutions. Our multidisciplinary team combines deep technical expertise with strategic vision to shape the future of AI at WD.

Strategic Alignment

Ensures every approved AI initiative maps to WD's enterprise priorities and measurable business outcomes.

Governance & Risk

Maintains AI policy compliance across all use cases — RAI assessments, data privacy, and regulatory adherence.

Value Capture

Tracks ROI on deployed use cases with quarterly reviews, adoption metrics, and outcome reporting to SteerCo.

Champion Enablement

Equips AI Champions with best practices, tooling, and CoE support to drive use cases within their functions.

Core Program Team

Sesh Tirumala

Sesh Tirumala

Core Program Oversight

Katie Watson

Katie Watson

Core Program Oversight

Sunita Sarathy

Sunita Sarathy

Overall Program

Harvinder Kalsi

Harvinder Kalsi

Technology

Michael Demers

Michael Demers

Data Platform

Phil Malatras

Phil Malatras

AI Governance

Joe Santosuosso

Joe Santosuosso

Data Governance

Humera Shahid

Humera Shahid

Talent, Training, Adoption & Change Mgmt.

Chee Kheng Lim

Chee Kheng Lim

Enterprise AI Acceleration

Kalpana Ettenson

Kalpana Ettenson

Communications

AI Champions

Chee Kheng Lim
Operations

Chee Kheng Lim

Vice President, Digital and Operations Excellence

Apisit Thiraboonkun
Operations

Apisit Thiraboonkun

Director, Data Science

Luis Geoffrey Macapayag
Operations

Luis Geoffrey Macapayag

Director, Manufacturing Engineering

Zhizhen Li
Operations

Zhizhen Li

Senior Director, Manufacturing Engineering

Vinu Athreya
Operations

Vinu Athreya

Vice President Supply Chain COE

Nimisha Morkonda Gnanasekaran
Operations

Nimisha Morkonda Gnanasekaran

Director, Data Science

Dallas Lambert
Sales & Marketing

Dallas Lambert

VP, E-commerce and Customer Intelligence

Brandon Dement
Sales & Marketing

Brandon Dement

Manager 5, Project Management

Bea Mibach
Product

Bea Mibach

Senior Director, Business Operations

Tiffany Santos
Product

Tiffany Santos

Director, R&D Engineering

Product

Murthy Kompella

Senior Director, ASIC Development Engineering

Rob Meyer
Product

Rob Meyer

Director, Software Development Engineering (Embedded)

Saravanan Chidambaram
Human Resources

Saravanan Chidambaram

Senior Director, Data Analytics

Yixin Zhang
Legal

Yixin Zhang

Director II, Associate General Counsel

Ee-May Chin
Finance

Ee-May Chin

Director, Accounting

Harvinder Kalsi
IT

Harvinder Kalsi

Vice President, Information Technology

Chuck Dickinson
Office of the CEO

Chuck Dickinson

Director, Strategic Communications

Ryan Peacock
Strategy

Ryan Peacock

Senior Director, Corporate Strategy

COS Counterparts

Adolphus Lim

Adolphus Lim

Global Operations

James Chillemi

James Chillemi

Sales & Marketing

Maryann Moore

Maryann Moore

Product

John Schroeder

John Schroeder

Human Resources

Corrie Macpherson

Corrie Macpherson

Legal

Korina Kennedy

Korina Kennedy

Finance

Sunita Sarathy

Sunita Sarathy

IT

What is the Al CoE?

01.

Why IT Exists

02.

Who IT Serves

03.

What IT is Not

04.

Reporting Structure

PROCESS

The 7-Stage Al Initiative Pipeline

01

AI Champion

Use Case Submission

  • Submit ideas via 14-question intake form (or through Champion)
  • Define problem statement with baseline performance
  • Outline solution approach, tools, and expected value
  • Include urgency rationale and governance (data + vendor needs)

Program Lead

CoE Triage

  • Auto-summary, scoring (value + urgency), and risk flagging
  • Review and validate AI-generated insights
  • Return incomplete submissions with clear feedback
  • Notify Champion of decision (advance or revise)
02
03

Owner: Tech, Data, Risk, Change Teams

Assessments

  • Conduct parallel assessments across 4 domains
  • Evaluate feasibility, data readiness, and compliance risks
  • Assess user impact, adoption needs, and SOP changes
  • Define reference architecture (systems, integrations, flows)

Core Program Team

Stage Gate 1

  • Compile assessments into business case
  • Approve or reject based on value and readiness
  • Allocate funding, ownership, and delivery model
  • Define path: CoE-led, Function-led, or resubmission
04
05

Delivery Squad

Design & Build

  • Develop detailed architecture and implementation plan
  • Build solution using reusable components
  • Implement data pipelines and governance controls
  • Test against acceptance criteria with human-in-loop checks

Champion · Change Mgmt.

Test & Launch

  • Launch pilot with defined users and KPIs
  • Execute training, SOPs, and communication plan
  • Validate performance via Stage Gate 2
  • Confirm readiness for scale with Champion sign-off
06
07

CoE SteerCo

Scale & Capture

  • Execute enterprise-wide rollout
  • Track value (cost, revenue, productivity gains)
  • Monitor adoption via OneAI dashboard
  • Maintain ongoing Responsible AI (RAI) assessments