Microsoft
Senior AI Capability & Experience Enablement Lead
Microsoft, Redmond, Washington, United States, 98052
Senior AI Capability & Experience Enablement Lead
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 first-party tools, 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. Responsibilities
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. Program Leadership
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. 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. 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. Microsoft is an equal opportunity employer. Consistent with applicable law, 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.
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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 first-party tools, 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. Responsibilities
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. Program Leadership
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. 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. 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. Microsoft is an equal opportunity employer. Consistent with applicable law, 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.
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