Microsoft Corporation
Senior AI Capability & Experience Enablement Lead
Microsoft Corporation, Redmond, Washington, United States, 98052
Senior AI Capability & Experience Enablement Lead
Redmond, Washington, United States Share job Date posted Oct 02, 2025 Job number 1885714 Work site 3 days / week in-office Travel 0-25 % Role type Profession Human Resources Talent Management Employment type Full-Time Overview
We are building Microsoft’s next generation
agentic learning ecosystem
—a connected mesh of AI agents that personalizes skilling in the flow of work, orchestrates
Skilling Advisor
capabilities, and activates a governed
content lake + skill graph
across Viva Learning, Microsoft Learn, and LinkedIn Learning. As a
Senior
AI Capability & Experience Enablement Lead
you will design and deliver
AI powered learning experiences
that strengthen critical capabilities for managers and employees. You will translate prioritized capability needs into working solutions—configuring firs t party tools (e.g., Copilot based learning experiences and role play practice), instrumenting telemetry, and partnering across HR and Learning , product/engineering, and Responsible AI to ensure compliant, inclusive, and measurable outcomes aligned to Global Learning and Skilling ( GL&S) disruption priorities. As part of this disruption initiative, you’ll lead the development of scalable, personalized, and agentic learning experiences that accelerate workforce transformation. You’ll also own the enterprise-wide delivery and governance of AI learning capabilities—ensuring compliance, impact, and innovation. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications
Required Qualifications: Bachelor's Degree in Human Resources, Business, Computer Science , Information Technology, Engineering, or related field AND 7+ years experience in HR practices or program/project management, technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR 10+ years experience in HR practices, technology consultation, or program/project management 3+ years experience managing large-scale or complex projects/programs 3+ years of experience with AI-powered learning agents, LMS/LXP platforms, and data-driven personalization. 3+ years of experience architecting AI/agentic or ML driven platforms at enterprise scale (agent services, retrieval, safety/policy, evaluation) on Azure (e.g., Azure OpenAI/Azure AI Foundry, Semantic Kernel, Azure ML). Preferred Qualifications: 2+ years managing multiple projects or portfolios 2+ year(s) experience leading blended, multidisciplinary teams 8+ years in learning & development, talent management, or organizational capability roles. Proven experience designing and implementing enterprise-wide skilling strategies. Understanding of learning science, instructional design, and digital learning ecosystems. Stakeholder management, communication, and program leadership skills . Depth in data & integration architecture (content lakes, metadata/skill taxonomies, event driven /microservices, vector search) and learning ecosystem integrations (Viva Learning, Microsoft Learn, LinkedIn Learning). Demonstrated leadership driving governance (ARB/change control), risk management, and executive stakeholder alignment across multi team programs. Demonstrated expertise in designing and implementing personalized learning and skilling experiences— leveraging skill ontologies, role-based capability models, and AI-driven recommendation engines to deliver adaptive content, assessments, and career pathways for upskilling and reskilling at enterprise scale. P roven ability to integrate personalization signals (e.g., role, proficiency , career goals) into learning platforms such as Viva Learning, Microsoft Learn, and LinkedIn Learning while ensuring Responsible AI and privacy compliance. D emonstrated ability to apply the ontology to power agentic, in flow skilling experiences (e.g., Skilling Advisor) with Responsible AI and privacy controls. 2 + years designing and operationalizing an enterprise skill ontology/skill graph for learning and talent scenarios 2 + years agile project management experience – Product Manager or Product Owner roles 3+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers Experience working in large-scale transformation or productization of learning. Background in agile product development or MVP experimentation. Familiarity with Microsoft platforms (Viva, Copilot Studio, SuccessFactors, etc.) Talent Management IC5 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year. Microsoft will accept applications for the role until October 7, 2025. Responsibilities
Capability Strategy & Design Lead the development of capability frameworks aligned to business priorities and future skill needs. Partner with Talent Management and business stakeholders to define critical skills and proficiency models. Translate strategic workforce goals into scalable learning pathways and agentic experiences. AI Capability Development & Governance Drive the development and deployment of AI-powered learning capabilities, including agentic systems, nudges, and personalized skilling journeys. Partner with engineering, product, and Responsible AI teams to ensure compliance, privacy, and governance standards are met. Lead experimentation and proof-of-concept initiatives to validate AI learning models and delivery mechanisms. Experience Innovation Design and pilot immersive learning experiences that integrate with business workflows and tools. Champion hyper-personalized, context-aware learning journeys using AI-powered agents. Drive adoption of in-flow skilling solutions that reduce time-to-competency and improve learner engagement. Lead cross-functional initiatives to implement and scale capability-building programs across business units. Collaborate with engineering and product teams to validate and evolve learning agents and platforms. Manage stakeholder engagement, change enablement, and communications for skilling initiatives. Measurement & Optimization Define success metrics and lead evaluation of learning impact (e.g., time-to- proficiency , skill gap closure). Use telemetry and learner behavior data to continuously improve learning experiences. Ensure alignment with privacy, compliance, and responsible AI standards. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Industry leading healthcare Educational resources Discounts on products and services Savings and investments Maternity and paternity leave Generous time away Giving programs Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations .
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Redmond, Washington, United States Share job Date posted Oct 02, 2025 Job number 1885714 Work site 3 days / week in-office Travel 0-25 % Role type Profession Human Resources Talent Management Employment type Full-Time Overview
We are building Microsoft’s next generation
agentic learning ecosystem
—a connected mesh of AI agents that personalizes skilling in the flow of work, orchestrates
Skilling Advisor
capabilities, and activates a governed
content lake + skill graph
across Viva Learning, Microsoft Learn, and LinkedIn Learning. As a
Senior
AI Capability & Experience Enablement Lead
you will design and deliver
AI powered learning experiences
that strengthen critical capabilities for managers and employees. You will translate prioritized capability needs into working solutions—configuring firs t party tools (e.g., Copilot based learning experiences and role play practice), instrumenting telemetry, and partnering across HR and Learning , product/engineering, and Responsible AI to ensure compliant, inclusive, and measurable outcomes aligned to Global Learning and Skilling ( GL&S) disruption priorities. As part of this disruption initiative, you’ll lead the development of scalable, personalized, and agentic learning experiences that accelerate workforce transformation. You’ll also own the enterprise-wide delivery and governance of AI learning capabilities—ensuring compliance, impact, and innovation. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications
Required Qualifications: Bachelor's Degree in Human Resources, Business, Computer Science , Information Technology, Engineering, or related field AND 7+ years experience in HR practices or program/project management, technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security) OR 10+ years experience in HR practices, technology consultation, or program/project management 3+ years experience managing large-scale or complex projects/programs 3+ years of experience with AI-powered learning agents, LMS/LXP platforms, and data-driven personalization. 3+ years of experience architecting AI/agentic or ML driven platforms at enterprise scale (agent services, retrieval, safety/policy, evaluation) on Azure (e.g., Azure OpenAI/Azure AI Foundry, Semantic Kernel, Azure ML). Preferred Qualifications: 2+ years managing multiple projects or portfolios 2+ year(s) experience leading blended, multidisciplinary teams 8+ years in learning & development, talent management, or organizational capability roles. Proven experience designing and implementing enterprise-wide skilling strategies. Understanding of learning science, instructional design, and digital learning ecosystems. Stakeholder management, communication, and program leadership skills . Depth in data & integration architecture (content lakes, metadata/skill taxonomies, event driven /microservices, vector search) and learning ecosystem integrations (Viva Learning, Microsoft Learn, LinkedIn Learning). Demonstrated leadership driving governance (ARB/change control), risk management, and executive stakeholder alignment across multi team programs. Demonstrated expertise in designing and implementing personalized learning and skilling experiences— leveraging skill ontologies, role-based capability models, and AI-driven recommendation engines to deliver adaptive content, assessments, and career pathways for upskilling and reskilling at enterprise scale. P roven ability to integrate personalization signals (e.g., role, proficiency , career goals) into learning platforms such as Viva Learning, Microsoft Learn, and LinkedIn Learning while ensuring Responsible AI and privacy compliance. D emonstrated ability to apply the ontology to power agentic, in flow skilling experiences (e.g., Skilling Advisor) with Responsible AI and privacy controls. 2 + years designing and operationalizing an enterprise skill ontology/skill graph for learning and talent scenarios 2 + years agile project management experience – Product Manager or Product Owner roles 3+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers Experience working in large-scale transformation or productization of learning. Background in agile product development or MVP experimentation. Familiarity with Microsoft platforms (Viva, Copilot Studio, SuccessFactors, etc.) Talent Management IC5 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year. Microsoft will accept applications for the role until October 7, 2025. Responsibilities
Capability Strategy & Design Lead the development of capability frameworks aligned to business priorities and future skill needs. Partner with Talent Management and business stakeholders to define critical skills and proficiency models. Translate strategic workforce goals into scalable learning pathways and agentic experiences. AI Capability Development & Governance Drive the development and deployment of AI-powered learning capabilities, including agentic systems, nudges, and personalized skilling journeys. Partner with engineering, product, and Responsible AI teams to ensure compliance, privacy, and governance standards are met. Lead experimentation and proof-of-concept initiatives to validate AI learning models and delivery mechanisms. Experience Innovation Design and pilot immersive learning experiences that integrate with business workflows and tools. Champion hyper-personalized, context-aware learning journeys using AI-powered agents. Drive adoption of in-flow skilling solutions that reduce time-to-competency and improve learner engagement. Lead cross-functional initiatives to implement and scale capability-building programs across business units. Collaborate with engineering and product teams to validate and evolve learning agents and platforms. Manage stakeholder engagement, change enablement, and communications for skilling initiatives. Measurement & Optimization Define success metrics and lead evaluation of learning impact (e.g., time-to- proficiency , skill gap closure). Use telemetry and learner behavior data to continuously improve learning experiences. Ensure alignment with privacy, compliance, and responsible AI standards. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Industry leading healthcare Educational resources Discounts on products and services Savings and investments Maternity and paternity leave Generous time away Giving programs Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations .
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