Strategic Account Executive - Executive AI Adoption

• 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