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Sr. Manager - AI Adoption & Change Management

KLA Corporation

Milpitas, CAFull-time$174–256K/yrPosted 1mo agoStill listed 1 day ago

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At a glance

Compensation
$174–256K/yr
Location
Milpitas, CA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

The Sr. Program Manager of Digital Adoption & Change Management leads enterprise initiatives that accelerate technology adoption and maximize IT investment value. Within the OCIO, the role partners with IT leadership, business stakeholders, and AI transformation teams to establish adoption strategies, value realization frameworks, AI governance practices, and business impact measurements. It connects AI technology delivery to measurable productivity, efficiency, and operational improvements.

Skills & qualifications

RequiredNice to have

Skills

Change Management Methodologies, requiredExecutive Alignment, requiredKPI Tracking, requiredAI Business Value Measurement, requiredCross-Functional Leadership, requiredAI, requiredAutomation, requiredDigital Workplace Technologies, requiredCloud Platforms, requiredSaaS Ecosystems, requiredFinOps, requiredCost Governance, requiredTechnology Consumption Management, requiredAnalytical Thinking, requiredProblem Solving, requiredCritical Thinking, requiredExecutive Communication, requiredStakeholder Management, required

Qualifications

Bachelor's in Business, IT, Engineering or Related Field, required10+ Years Relevant Experience, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Tuition Assistance
Paid Time Off
Parental Leave

Full job description

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

Group/Division KLA's IT group supports business growth and productivity by connecting people, process and technology around the world. We work to improve the technology that drives our business to thrive and focus on empowering employee use of technology. This integrated approach to customer service, creativity and technological excellence enhances employee productivity, business analytics and process excellence.

What You'll Do In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

The Sr. Program Manager of Digital Adoption & Change Management leads enterprise initiatives that accelerate technology adoption, drive measurable business outcomes, and maximize the value of IT investments across the organization. Operating within the OCIO, this role partners with IT leadership, business stakeholders, and AI transformation teams to establish adoption strategies, value realization frameworks, AI governance practices, and business impact measurements that support the organization's objectives. The role serves as a critical connector between AI technology delivery and business outcomes, ensuring that emerging AI technologies translate into tangible productivity, efficiency, and operational improvements.

Key Areas of Ownership:

Digital Adoption & Change Leadership

  • Lead adoption strategies for AI.
  • Build and scale digital champion communities.
  • Drive organizational readiness for AI and emerging technologies.
  • Partner with AI teams, communications, and training organizations to remove barriers to adoption.

AI Value Realization & Business Impact

  • Define and manage value realization frameworks for IT AI investments.
  • Establish KPIs and executive scorecards focused on AI adoption, productivity, and business outcomes.
  • Conduct benefit realization reviews and post-implementation assessments.
  • Provide executive insights on realized versus expected business value.

AI Governance & Digital Economics

  • Support governance frameworks for AI and digital platforms.
  • Partner with FinOps and infrastructure organizations to improve transparency and consumption management.
  • Promote responsible and cost-effective use of AI technologies and cloud services.

Executive Communications & Enablement

  • Enable data-driven decision making by providing leadership with clear insights into AI adoption, business value, and operational impact.
  • Communicate transformation progress, adoption trends, and measurable outcomes.
  • Identify capability gaps and coordinate enterprise enablement initiatives.
  • Support CIO staff communications and AI strategic initiatives.

Minimum Qualifications

  • Bachelor's degree in Business, Information Technology, Engineering, or a related field.
  • Minimum 10 years of proven experience in Digital Transformation, IT Strategy, Business Operations, Change Management, or related fields
  • Change Management Methodologies: Hands-on experience with structured adoption frameworks like ADKAR, Kotter's 8-Step Model, or Bridges Transition Model.
  • Skill to align C-suite executives, engineering leads, security teams, and end-users on rollout timelines and risk tolerance.
  • Data-Driven Measurement: Proficiency in tracking Key Performance Indicators (KPIs) such as Change Success Rate, Emergency Change Rate, Lead Time for Change, and User Adoption metrics. Experience defining and tracking AI business value, adoption metrics, KPIs, ROI, and value realization frameworks.
  • Confirmed experience leading cross-functional initiatives and influencing collaborators across a matrixed organization.
  • Strong understanding of AI, automation, digital workplace technologies, cloud platforms, and SaaS ecosystems.
  • Familiarity with FinOps, cost governance, and technology consumption management principles.
  • Excellent analytical, problem-solving, and critical thinking capabilities.
  • Strong executive communication and collaborator management skills, with the ability to translate business needs into technology-driven outcomes.

About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Total Rewards Base Pay Range: $174,300.00 - $255,633.00 Annually Primary Location: USA-CA-Milpitas-KLA

KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

Use of AI Statement At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

Equal Opportunity Statement KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at [email protected] or at +1-408-352-2808 to request accommodation.

For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.

How this job compares

Set against the 10,850 open Program Management jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This posting$174–256K/yr
  • California median$147–223K/yr1,118 salary ranges
  • US median$126–202K/yr8,385 salary ranges

This range's midpoint, $215K, is 13% above the California median midpoint ($190K) — in the middle half of Program Management salary ranges in California.

Openings
Olive Jobs lists 1,348 open Program Management jobs in California and 10,850 across the US. 5% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 10 years of experience; Program Management postings that state a minimum ask for 7 years at the median (9,415 postings).
Education
This posting asks for a bachelor's degree; 3,804 of the 10,850 open Program Management jobs (35%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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