Business Strategy Manager - AI-First Operating Model

Microsoft•,

1d•$106,400 - $222,600

About The Position

Microsoft’s MCAPS Core organization is responsible for the strategy, design, and implementation of Microsoft’s end-to-end customer experience. The Strategy & Transformation team identifies emerging opportunities and drives programmatic transformation across MCAPS Core, customers, partners, and account teams by designing and testing programs, operating models, and customer experiences, then scaling what works to deliver AI-first transformation, customer growth, and measurable commercial impact. As a Business Strategy Manager on the AI-First Operating Model team, you will help reimagine how MCAPS Core operates: how it delivers outcomes through agentic workflows, allocates work between human and token capital, and transforms roles, responsibilities, talent strategy, and culture. You will bring frameworks and methodologies to business teams, run workstreams in agile sprints, and turn analysis into strategies and recommendations for senior executives. The role involves managing complex programs, developing transformation strategies, and engaging senior leaders in defining the future of work. Microsoft is seeking someone who thinks ambitiously about reimagining work, challenges the status quo, and has experimented with and adopted AI to reimagine their own work. The candidate should combine that ambition with structured problem solving, excellent written communication, and the ability to influence senior leaders. The role suits someone who enjoys delivering, bringing structure to ambiguous problems, and working in a fast-paced environment.

Requirements

Master’s degree in Business Administration or a related field and at least 3 years of experience in marketing, strategy, business planning, consulting, banking, finance, economics, and/or a partner organization; or a bachelor’s degree in Business, Finance, Economics, Liberal Arts, Computer Science, or a related field and at least 4 years of such experience; or equivalent experience.
Structured problem-solving skills.
Excellent written communication skills.
Ability to influence senior leaders.
Track record of experimenting with and adopting AI to reimagine one’s own work.

Nice To Haves

Master’s degree in Business Administration or a related field and at least 6 years of experience in marketing, strategy, business planning, consulting, banking, finance, economics, and/or a partner organization; or a bachelor’s degree in Business, Finance, Economics, Liberal Arts, Computer Science, or a related field and at least 8 years of such experience; or equivalent experience.
At least 3 years of experience in Strategy, Management Consulting, and/or Finance.

Responsibilities

Think boldly about how work could be done differently with AI and pressure-test the status quo.
Lead a cross-functional team to define the future-state AI-first operating model for assigned workstreams, including its vision, workflows, requirements, and roadmap.
Provide frameworks, methodologies, and advisory support to business teams so they can consistently design and adopt AI-first ways of working.
Assess the current state, develop and evaluate future-state options, and pressure-test recommendations for rigor, feasibility, and evidential grounding.
Conduct strategic analyses and integrate external research and best practices with Microsoft data and input to develop evidence-based recommendations.
Partner with business, technology, HR, and Finance teams to develop strategies and requirements spanning people, process, and technology.
Manage projects end to end by scoping deliverables, running an agile teaming model, communicating status and risk, and creating mechanisms for progress visibility and accountability.
Embed change management in program approaches and influence and manage change with key organizational stakeholders.
Develop written documents and end-to-end storylines, and present findings and recommendations to senior and executive-level leaders.
Design experiments to test new operating models and ways of working, then scale effective approaches by testing, learning, and acting with urgency.
Advance the AI-First culture agenda so the organization understands how AI-first ways of working can amplify employee impact and outcomes.
Experiment with and adopt AI in personal work, model AI-first behaviors, and apply learnings to the operating model.