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AI Transformation Leader - Culture & Employee Experience

United States, Redmond Employment contract 130900.00 - 277200.00 USD / Year · Job Posted May 17, 2026
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Job Description

Microsoft Security is one of the world's largest security organizations — spanning endpoint, identity, cloud, and data security — and one of Microsoft's fastest-growing businesses. Microsoft Security has made a clear commitment: transforming Security Engineering into an AI-first organization that can operate at the pace the threat landscape demands. As part of the Executive Office of the EVP of Microsoft Security, the AI Transformation Leader sits at the center of that transformation. This role is responsible for activating Security Engineering's new AI-first way of working as the standard operating model — and building the programs, rituals, and change infrastructure that make those ways of working durable. The role does not launch initiatives. It installs habits.

Job Responsibility

  • Activate the New Way of Working
  • Drive activation of the new AI-first operating model end-to-end: from readiness through team-level adoption, measurement, and iteration, in close partnership with Engineering Executive Sponsor and Engineering Leaders
  • Partner with engineering managers and VPs to embed AI-first behaviors into operating rhythms, expectations, and management practice
  • Identify and systematically remove barriers to adoption — organizational, tooling, and behavioral
  • Build feedback loops that connect adoption reality on the ground back to operating model design and product teams
  • Build and Run AI Enablement Programs
  • Design and run the Security Frontier Enablement Lab — a structured environment where engineering teams experiment with AI tools, agents, and workflows in low-risk, high-signal settings
  • Produce and scale the AI & Agents Hackathon series to surface new use cases, accelerate adoption, and build community around AI-first practice
  • Run Demo Day as a recurring, visible forum that makes AI-first work celebrated and shared across Security Engineering
  • Drive Behavior Change at Scale
  • Translate the new AI-first operating model into clear behavioral expectations that managers can reinforce and engineers can act on immediately
  • Build change mechanisms that install new habits and sustain them over time
  • Ensure the internal engineering experience mirrors the AI-first future that Microsoft Security delivers to customers
  • Measure Adoption and Feed Insight Back
  • In partnership with Engineering leaders, define and track leading and lagging indicators of AI tool and operating model adoption across Security Engineering
  • Surface adoption patterns, blockers, and bright spots to senior leaders with decision-ready clarity
  • Use data to continuously improve programs and sharpen where effort lands next

Requirements

  • Bachelor's Degree in Business, Operations, Finance, or related field AND 6+ years experience in program management, process management, or process improvement OR equivalent experience
  • Master's Degree in Business, Operations, Finance, or related field AND 8+ years experience in program management, process management, or process improvement OR Bachelor's Degree in Business, Operations, Finance, or related field AND 12+ years experience in program management, process management, or process improvement OR equivalent experience
  • Proven ability to drive adoption through scalable resources and community engagement
  • Proven ability to partner closely with matrixed teams and navigate across complex systems
  • Demonstrated storytelling and content strategy skills
  • Demonstrated experience driving large-scale behavior or technology adoption in an engineering organization
  • Working knowledge of AI tools and workflows, and the adoption dynamics specific to engineering teams
  • Proven program design and execution skills — from concept through measurable, sustained outcome
  • Ability to influence engineering leaders without direct authority
  • Ability to translates complex change into clear expectations and observable behaviors
  • Demonstrated ability reading signal without perfect clarity, deciding at speed, and adjusting as you learn

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