Lam Research Corporation Logo

Lam Research Corporation

Skills Architect Program Manager

Posted 4 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in US
Expert/Leader
Remote
Hiring Remotely in US
Expert/Leader
Owns Lam Research’s enterprise skills architecture, including taxonomy, proficiency models, role-based profiles, governance, and quality standards. Leads skills discovery, validation, roadmap planning, stakeholder alignment, and implementation across HR, talent, learning, and workforce platforms. Partners with HRIS and technology teams on integrations, analyzes workforce and labor-market insights, and identifies capability gaps to guide upskilling and reskilling initiatives.
The summary above was generated by AI
The group you’ll be a part of

The Global Human Resources Group operates on the understanding that our people are our most valuable assets. They think globally to optimize our workforce, integrate our Core Values into everything we do, and deliver the HR solutions to enhance the employee experience and enable future growth.

The impact you’ll make

The Skills Architect Program Manager is responsible for designing, governing, and continuously evolving Lam Research’s enterprise skills architecture. This role owns the structure and integrity of the skills framework, including skills taxonomy, role-based skills profiles, proficiency models, skill definitions, and relationships across jobs, learning, talent, and workforce processes.


The role combines skills architecture expertise with program management to translate workforce, business, and labor market insights into scalable skills solutions. The role leads skills validation, develops taxonomy recommendations, establishes architecture standards, and manages the implementation of approved changes across various talent and learning platforms. The role also surfaces actionable skills insights and data to identify workforce capability needs and inform broader upskilling and reskilling efforts across Lam.

What you’ll do

Skills Architecture & Governance

  • Design and continuously evolve Lam’s enterprise skills architecture, including taxonomy structure, proficiency levels, definitions, relationships, and role-based skills profiles.
  • Establish architecture standards and governance criteria for creating, modifying, consolidating, and retiring skills.
  • Analyze business needs, workforce priorities, and labor-market trends to identify emerging, declining, and critical skills.
  • Maintain the quality and integrity of the skills taxonomy by resolving duplicate, outdated, overlapping, or poorly defined skills.
  • Evaluate proposed changes and recommend scalable enhancements aligned with enterprise standards and business requirements.
  • Maintain architecture documentation, decision rationale, and quality controls.

Skills Program Management

  • Lead enterprise skills architecture priorities and roadmap initiatives.
  • Plan and facilitate skills discovery, design, and validation sessions with business and functional stakeholders.
  • Translate business requirements and SME input into architecture recommendations, decisions, and implementation plans.
  • Maintain the roadmap, backlog, dependencies, decision log, and implementation priorities.
  • Monitor adoption, assessment, and taxonomy-health data to improve the skills framework and employee experience. 
  • Analyze and surface skills insights, gaps, and trends to inform enterprise upskilling and reskilling priorities.

Ecosystem Integration

  • Define how enterprise skills architecture is represented across Lam, independent of any specific technology platform. 
  • Establish skills-mapping principles across jobs, learning content, development plans, career pathways, talent acquisition, and workforce planning.
  • Partner with HRIS and technology teams to translate architecture requirements into system configurations and integrations.
  • Assess the downstream impact of taxonomy changes and validate skills tagging, content mapping, recommendations, and role profiles across systems.
  • Identify and resolve architecture and data inconsistencies between platforms.
What you’ll do (continued)

Stakeholder Partnership

  • Serve as the enterprise subject-matter expert for skills architecture, taxonomy design, and role-based skills modeling.
  • Advise HR Business Partners, Talent Acquisition, Workforce Planning, Talent Management, Global Inclusion Learning & Development, HRIS, and business leaders on skills architecture decisions.
  • Facilitate alignment between business needs, enterprise standards, governance requirements, and system constraints.
  • Translate complex architecture concepts into clear recommendations for business and executive audiences.

Success Measures

  • Quality, consistency, and scalability of the enterprise skills architecture
  • Accuracy and relevance of skills taxonomy and role-based profiles
  • Successful implementation and adoption of approved architecture enhancements
  • Alignment of skills across talent, learning, career, and workforce processes
  • Timely delivery of roadmap priorities, architecture decisions, and actionable skills insights that inform upskilling, reskilling, and workforce capability priorities
Who we’re looking for
  • Minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience.
  • 5+ years of experience in skills architecture, talent management, job architecture, workforce development, learning, HR technology, or a related field.
  • Experience designing or significantly enhancing enterprise skills frameworks, taxonomies, or role-based skills models.
  • Experience translating business and workforce requirements into scalable skills solutions.
  • Experience facilitating skills discovery and validation with SMEs, HR partners, and business leaders.
  • Strong analytical, consulting, program-management, and executive-communication capabilities.
  • Experience working across interconnected HR, talent, and learning platforms.
Preferred qualifications
  • Experience with Eightfold, Cornerstone, Workday, SuccessFactors, or similar platforms.
  • Experience designing skills taxonomies, proficiency frameworks, and relationships among skills, roles, jobs, and learning content.
  • Knowledge of job architecture, competency models, occupational frameworks, and skills-based talent practices.
  • Experience with workforce analytics, labor-market intelligence, skills-gap analysis, and executive reporting.
  • Experience supporting talent and learning system integrations.
  • Proficiency with Power BI, Excel, or related reporting tools.
Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

 

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

 

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

 

#LI-DM1

Our Perks and Benefits

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits. 

HQ

Lam Research Corporation Fremont, California, USA Office

4650 Cushing Parkway, Fremont, CA, United States, 94538

Lam Research Corporation Livermore, California, USA Office

Livermore, United States

Similar Jobs

11 Minutes Ago
Easy Apply
Remote or Hybrid
Texas, USA
Easy Apply
150K-300K Annually
Senior level
150K-300K Annually
Senior level
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
Leads media sales and client partnership growth for managed-service and programmatic marketing solutions. Responsibilities include developing revenue strategies, managing sales pipelines, cultivating agency and brand relationships, identifying opportunities, negotiating deals, closing sales, overseeing strategic accounts, and presenting performance reviews. Requires deep programmatic and data-driven marketing expertise, strong consultative and analytical abilities, proven sales success, excellent communication skills, and local and national travel.
Top Skills: Advanced TvArtificial IntelligenceData-Driven MarketingOnline Media TechnologyProgrammatic Advertising TechnologyZeta Marketing Platform
11 Minutes Ago
Remote
USA
85K-125K Annually
Senior level
85K-125K Annually
Senior level
Artificial Intelligence • Machine Learning • Software • Defense
Own and improve the corporate endpoint environment across macOS, Windows, and iOS. Manage MDM, patching, vulnerability remediation, configuration, monitoring, compliance, and device lifecycle processes. Develop scripts and automation to deploy controls, detect drift, remediate issues, and reduce manual administration. Partner with Security and IT to implement CIS and NIST requirements, investigate complex endpoint problems, and lead technical projects from planning through deployment.
Top Skills: AutomationBashCis BenchmarksConfiguration ManagementEndpoint Health MonitoringEndpoint PatchingiOSmacOSMdmMicrosoft IntuneNist 800-171PowershellPythonTelemetryVulnerability ManagementWindows
17 Minutes Ago
Remote
United States
Expert/Leader
Expert/Leader
Artificial Intelligence • HR Tech • Information Technology • Software • Business Intelligence
Owns end-to-end enterprise SaaS sales across a Federal Civilian territory, including prospecting, demonstrations, executive engagement, strategic account planning, contract negotiation, and closing complex multi-year agreements. The role drives new-logo acquisition and account expansion, coordinates solution engineers, customer success, legal, security, and system integrator partners, and engages senior federal stakeholders. Travel and client-facing activity may reach 50%.
Top Skills: Authority To Operate (Ato) ProcessesFedrampFismaQualtrics PlatformSaaS

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account