Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Our technologies enable virtually every electronic device in the world. We invent systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. We invest 15% of sales back into R&D, focusing on innovation. Our teams of physicists, engineers, data scientists and problem-solvers work with leading technology providers to accelerate tomorrow’s electronic devices. Life here is exciting and our teams tackle hard problems.
Group/Division
The global HR organization partners with operating leadership to support strategic growth, customer and operating objectives through strategic talent management. Primary focus areas include talent acquisition, assessment and development, performance management, inclusion and engagement, rewards, and HR system operations.
Job Description / Preferred Qualifications
The AI Workforce Consultant partners with business, HR, IT, and functional leaders to accelerate AI fluency, responsible adoption, and embed AI into everyday work. This role translates AI capabilities into workforce-ready skills, enabling employees and leaders to confidently use AI tools, redesign work processes, and drive measurable business outcomes. The consultant blends change management, learning design, and applied AI expertise to move organizations from experimentation to sustained, scalable AI adoption.
Key Responsibilities
- AI Literacy & Capability Building: design and deliver role-based AI literacy experiences for executives, managers, employees, individual contributors and HR teams.
- Translate complex AI concepts (e.g., generative AI, copilots, recommendations, automation) into practical guidance tied to real work and workflows.
- Develop learning journeys covering AI fundamentals, responsible AI, prompt literacy, use-case thinking, and role-specific applications.
- Support the development and rollout of AI usage guidelines and guardrails.
- Coach leaders to model responsible AI use, set expectations, and sponsor adoption within their teams.
- Support managers in addressing workforce concerns (trust, job impact, misuse) and reinforcing AI-enabled working methods.
- Enable employees to identify tasks and workflows that can be augmented by AI, emphasizing AI as a productivity assistant, not a replacement for human judgment.
- Upskill HR partners to lead AI enablement and embed AI literacy, adoption, and responsible use into talent, learning, workforce planning, and change practices.
- Facilitate workshops, labs, and enablement sessions (virtual and in-person).
- Gather feedback to continuously improve AI enablement programs.
- Share best practices, case studies, and lessons learned across the organization.
AI Adoption & Change Enablement
- Identify high-value AI use cases aligned to strategic priorities with business leaders.
- Integrate AI tools into daily workflows, processes, and decision-making.
- Address adoption barriers such as fear, skill gaps, misuse concerns, and trust through structured change management.
- Move from experimentation to scaled, repeatable AI usage.
- Create adoption playbooks, communications, and reinforcement strategies.
Workforce & Operating Model Transformation
- Assess workforce readiness for AI, including skills, roles, and operating models.
- Advise on job redesign, skill evolution, and human‑AI collaboration models.
- Collaborate with HR, L&D, IT, Legal, and Compliance to align AI adoption with policies and governance.
Responsible & Ethical AI Enablement
- Educate employees on responsible AI use, data privacy, security, and ethics.
- Support the development and rollout of AI usage guidelines and guardrails.
- Reinforce trust and accountability in AI-enabled work.
Measurement & Continuous Improvement
- Define and track success metrics (adoption, proficiency, productivity, engagement).
- Gather feedback to continuously improve AI enablement programs.
- Share best practices and lessons learned across the organization.
Qualifications
- Preferred: Hands-on experience with AI tools (generative AI, copilots, automation platforms).
- Background in organizational change management frameworks (Prosci, ADKAR).
- Experience designing enterprise learning programs or capability academies.
- Familiarity with responsible AI, data privacy, and AI governance concepts.
- Consulting experience or experience in large, matrixed organizations.
- Bachelor’s degree in Business, Human Resources, Organizational Development, Technology, or related field (or equivalent experience).
- 12+ years of experience in change management, learning & development, digital transformation, consulting, or workforce enablement.
Key Skills & Competencies
- AI literacy and applied use-case thinking
- Prompt design and coaching for high-quality outputs
- Change management and adoption strategy
- Workforce transformation and job redesign
- Stakeholder influence and executive communication
- Systems thinking and business acumen
- Strong facilitation, presentation, and stakeholder engagement skills
- Ability to work cross-functionally with business, HR, IT, and leadership teams
Minimum Qualifications
- Bachelors Degree plus 12 years’ experience; or Masters Degree plus 8 years’ experience; or PhD plus 5 years’ experience.
Base Pay Range: $163,000 - $277,100 Annually
Location: USA-CA-Milpitas-KLA
KLA’s total rewards package includes medical, dental, vision, life, 401(k) with company matching, ESPP, student debt assistance, tuition reimbursement, development and career growth programs, wellness benefits, paid time off, holidays, and family care leave. Interns may be eligible for some benefits. Pay ranges depend on role, level, and location.
KLA is an Equal Opportunity Employer. Reasonable accommodation is provided for applicants with disabilities. For accommodations, contact talent.acquisition@kla.com or +1-408-352-2808.
Be aware of fraudulent postings. KLA does not ask for payment to interview or be hired, and does not work with recruiters who charge fees. Verify postings on KLA’s Careers site. For concerns, email talent.acquisition@kla.com. We protect your privacy and handle information confidentially.
#J-18808-Ljbffr