Strategic Account Executive - Executive AI Adoption

Microsoft•,

7d•$133,000 - $239,800

About The Position

The 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.

Requirements

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.
Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Nice To Haves

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.

Responsibilities

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
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
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
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
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
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