AI Transformation Leader - Culture & Employee Experience, Microsoft Security
Microsoft · United States, Washington, Redmond, United States, Multiple Locations, Multiple Locations · Business Program Management
About this role
Microsoft is hiring a mid-level AI Transformation Leader - Culture & Employee Experience, Microsoft Security based in United States, Washington, Redmond, United States, Multiple Locations, Multiple Locations. Compensation is listed at $130,900–$277,200 per year.
- Level
- mid
- Employment
- Full-time
- Location
- United States, Washington, Redmond, United States, Multiple Locations, Multiple Locations
- Department
- Business Program Management
- Posted
- May 15, 2026
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Job description
from Microsoft careersMicrosoft 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.
Responsibilities
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