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Job Details
Posted date: Aug 07, 2026
Category: Strategic Account Management
Location: Multiple Locations, Multiple Locations
Estimated salary: $186,400
Range: $133,000 - $239,800
Employment type: Full-Time
Travel amount: 25.0%
Work location type: 0 days / week in-office – remote
Role: Individual Contributor
Description
OverviewThe Customer Business Outcomes Executive AI Adoption Lead is a strategic leadership role responsible for accelerating AI adoption among senior business decision makers by translating business priorities into personalized AI experiences during Customer Business Outcomes (CBO) engagements.
This leader will leverage Microsoft's evolving library of ready-to-deploy agents, including role-based agents such as Chief of Staff, Strategy Advisor, Finance Advisor, Operations Advisor, Customer Experience Advisor, and industry-specific agents, to ensure executive stakeholders leave CBO workshops with an AI solution directly aligned to their responsibilities, strategic priorities, and desired business outcomes.
The role serves as a bridge between executive ambition and enterprise-scale AI adoption by removing barriers that often slow transformation initiatives, including limited AI fluency, uncertainty about where to begin, and concerns that AI innovation creates risk outside established IT governance models.
By enabling executives to personally experience business value through tailored agents, this role drives broader organizational adoption, strengthens executive sponsorship, accelerates business transformation initiatives, and creates new pathways for Microsoft consumption growth.
This role is expected to become a foundational pillar of the CBO organization by creating repeatable executive adoption motions, scalable agent deployment frameworks, and global best practices that can be replicated across customers, industries, and geographies.
Success Measures:
Number of executive stakeholders adopting personalized agents
Executive satisfaction and engagement scores following CBO workshops
Increase in AI adoption among key business decision makers
Measurable business outcomes linked to agent deployment
Reduction in executive adoption barriers and AI resistance
Increased executive sponsorship of enterprise AI initiatives
Expansion of AI consumption and transformation programs originating from executive-led adoption
Creation of reusable global frameworks for Executive AI Adoption
Agent survival rates at 30/60/90 days following CBO engagements
Number of customer organizations implementing organizational design or incentive changes linked to AI adoption
Lighthouse frameworks documented and reused across regions
Responsibilities
Executive AI Adoption Strategy
Design and lead the CBO Executive AI Adoption motion for strategic customers and transformation engagements
Partner with C-Level executives to identify business priorities, capability gaps, organizational constraints, and desired business outcomes
Create personalized AI adoption journeys that demonstrate immediate value to executive stakeholders
Ensure executives leave CBO workshops with a practical AI solution that directly supports their role, decision-making responsibilities, and business objectives
Position AI as a business transformation capability rather than a technology deployment initiative
Executive Agent Deployment
Leverage Microsoft's library of pre-built agents and extensible agent frameworks to rapidly demonstrate business value
Match executive personas with relevant AI capabilities including:
Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Chief Revenue Officer
Chief Human Resources Officer
Chief Information Officer
Chief Marketing Officer
Chief Supply Chain Officer
Chief Risk Officer
Guide executives through the development of role-specific agents that support decision making, operational effectiveness, employee productivity, strategic planning, and business transformation initiatives
Create repeatable executive use cases that can be scaled across industries and customer segments
Establish agent deployment patterns that align to measurable business outcomes
AI Adoption & Change Leadership
Lower barriers to executive AI adoption through hands-on demonstrations and personalized experiences
Address common executive concerns including:
"I don't know where to start."
"My team lacks AI skills."
"I don't have time to learn another technology."
"AI sounds interesting but I don't see how it applies to my role."
Help executives become visible champions for AI transformation efforts
Build executive confidence through practical application rather than theoretical education
Create advocacy programs that encourage executives to model AI-enabled leadership behaviors
Business Value Realization
Connect executive agent deployments to measurable business outcomes.
Quantify value opportunities including:
Productivity gains
Decision acceleration
Operational efficiency
Revenue growth
Cost reduction
Risk mitigation
Employee experience improvement
Partner with Value Engineering, Industry Advisors, and Account Teams to connect AI use cases to broader transformation initiatives
Develop executive success stories that demonstrate clear business impact
Organizational Design for Lasting Adoption
Partner with CHROs and executive sponsors to translate executive AI adoption into the organizational changes that make it durable: role and job-description redesign, compensation and incentive alignment, career paths, and performance systems built for AI-enabled ways of working
Advise executive teams on the operating-model mechanics that convert individual adoption into institutional practice: recognition systems, manager sign-off structures, and governance designed as a fast lane rather than a gate
Ensure every CBO engagement leaves behind a named ownership structure (executive sponsor, champion network, agent owners), not a standalone deployment
Hybrid Workforce Leadership
Coach executives to lead hybrid teams of people and AI agents: how delegation, quality review, feedback, and accountability change when part of the team is digital, and where hybrid teams break down
Establish the discipline that agents are onboarded and managed like employees: every deployed agent carries a named manager with real weekly hours
Lead by example: build and manage a working team of personal agents, and use that lived experience as the teaching material in executive engagements
Strategic Business Impact
This role exists to solve three of the largest barriers preventing enterprise AI adoption
Barrier #1: Executive Relevance
Many executives understand that AI is important but struggle to connect it to their specific responsibilities
Outcome: Executives leave with a personalized agent that solves a problem they own
Barrier #2: Organizational Capability
Many organizations believe AI adoption requires every employee to become an AI expert before value can be realized.
Outcome: Organizations gain confidence that business leaders can immediately leverage AI without requiring enterprise-wide expertise on day one
Barrier #3: IT Governance Concerns
IT departments often fear loss of control when business users move faster than governance processes
Outcome: Organizations see how AI agents can operate within enterprise governance frameworks while still delivering measurable business value
Qualifications
Required Qualifications:Bachelor's Degree AND 10+ years experience working in an industry (e.g., financial services, retail, manufacturing, healthcare, energy, government, education, technology) and/or driving digital transformation OR Master's Degree AND 9+ years experience working in an industry (e.g., financial services, retail, manufacturing, healthcare, energy, government, education, technology) and/or driving digital transformation OR 13+ years experience in working in an industry (e.g., financial services, retail, manufacturing, healthcare, energy, government, education, technology) and/or driving digital transformation OR equivalent experience.6+ years experience making recommendations to and/or collaborating with mid-to-senior level executives.8+ years experience closing large, complex agreements/deals. Other Requirements: This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. Preferred Qualifications:Bachelor's Degree AND 13+ years experience working in an industry (e.g., financial services, retail, manufacturing, healthcare, energy, government, education, technology) and/or driving digital transformation OR Master's Degree AND 11+ years experience working in an industry (e.g., financial services, retail, manufacturing, healthcare, energy, government, education, technology) and/or driving digital transformation OR equivalent experience.
Strategic Account Management IC5 - The typical base pay range for this role across the U.S. is USD $133,000 - $222,700 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 $170,300 - $239,800 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.