New 
Senior Learning and Skilling Enablement Lead, AI-First Content Ecosystem
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 31, 2025 | |
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OverviewIn this era of AI, defined by exponential change and ever-increasing business demands, the way we enable people to learn and grow must fundamentally transform. We are seeking a Sr. Learning & Skilling Enablement Lead to steer a bold, enterprise-wide disruption: one that moves us to a future of agentic learning and skilling. You will be responsible for shaping and governing a modern, intelligent content ecosystem that enables personalized, scalable learning and skilling across a federated enterprise. This role blends deep content strategyexpertisewith program leadership and cross-functional coordination - serving as the intersection between Academy teams, engineering, and enterprise stakeholders. Your work will ensure that content is not only high-quality and reusable, but also structured, discoverable, and AI-ready -layinga core foundation to reimagine our Academies and rapidly scale upskilling and reskilling across Microsoft. 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.
Responsibilities AI-First Content Framework: Establish an open, machine-readable content ecosystem that intelligent agents can seamlessly mine, atomize, and recombine-enabling dynamic, personalized learning experiences at scale. AI-Ready Content Standards and Governance: Define and enforce federation-wide content standards that ensure interoperability, machine-readability, and modularity-enabling rapid curation and deployment of learning and skilling assets at scale and speed across AI-driven platforms. Intelligent Content Assurance: Architect and manage systems that leverage AI for automated content vetting-ensuring accuracy and user trust-while automating metadata tagging, classification, and quality checks to accelerate agent discoverability and personalization at scale. Continuous Content Renewal: Establish AI-driven pipelines that pull from trusted, vetted sources to automate content updates-ensuring refresh cycles keep pace with business change and deliver the most current, high-quality learning experiences at scale. Repository Modernization: Lead the transformation from legacy LMS-based systems into adaptive, agent-ready content hubs-prioritizing governance, content lifecycle management, and interoperability to ensure sustainable evolution and enterprise-wide adoption. Stakeholder/Customer Collaboration: Exemplifies best practices in identifying and developing relationships with key stakeholders/partners across audiences, business units, or verticals/industries to represent their content ecosystem needs. Program Execution: Drives the mapping of the necessary points of engagement with relevant stakeholders to enable content execution and address operational needs. Data Intelligence and Content Relevance: Provides guidance on how data should be used to see how successfully the content is meeting pre-established objectives for various deliverables. Drives assessment of content to determine how it is being consumed by stakeholders, including the evaluation of content feedback from relevant stakeholders and partners through feedback sessions. Other: Embody our culture and live our values | |