Overview

The Frontier Transformation Framework helps our customers become Frontier Firms: organizations where AI is not a tool added to the business but part of the operating system the business runs on. The single biggest reason AI programs stall is not the technology; 95% of AI pilots fail to deliver meaningful P&L impact because they are deployed without a value hypothesis, measure the wrong things, or never baseline before building. Value Creation and Management is the discipline that closes that gap, turning AI from a cost center with unclear returns into a tracked investment with board-level visibility. The Frontier Transformation team is how the Microsoft Frontier Company, the organization this role sits within, delivers this: a small, senior human-agent team in which each member carries one of the Framework's eight capabilities into the customer, directs a set of digital co-workers to deliver at a scale headcount alone could not, and is designed to fade into a customer counterpart who can carry the work forward.

We are seeking a highly motivated Value Creation Lead to define, design, and prove the business value of AI and agentic investment across strategic customer engagements. In this role, you will own the Value Realization Framework end to end: surfacing where AI investment aligns with a customer's strategic objectives, building the value hypotheses and investment cases that unlock funding, declaring the measurement approach before anything is built, and proving realized outcomes against baselines once solutions are live. You will operate at the intersection of finance, business strategy, engineering, and field delivery, working directly with CFOs, executive sponsors, account teams, Industry Business Architects, and delivery pods.

This is a role for people who are equally comfortable in a CFO-led value workshop and in the detail of a P&L model, who can move from strategic ambition to a defensible financial figure, and who are energized by making value real rather than anecdotal. You will help customers see, fund, and capture the value of becoming a Frontier Firm, while shaping the reusable value patterns, benchmarks, and playbooks that scale this discipline across industries. If you are excited by the opportunity to make AI investment measurable, fundable, and provable, this role is for you.

Responsibilities

Core Responsibilities

• Lead value discovery through the Value Realization Framework, running facilitated (often CFO-led) workshops that identify where AI and agent investment aligns with the customer's strategic business objectives.

• Build and own value hypotheses for each candidate use case, framed as a single testable statement and mapped to the four value themes: Enrich Employee Experience, Reinvent Customer Experience, Reshape Business Processes, and Bend the Innovation Curve.

• Produce value-ranked agent backlogs, prioritizing opportunities by business value, feasibility, and time-to-impact using the Value Rubric and Frontier Guide (Today-vs-Frontier benchmarks).

• Develop the Business Case that unlocks funding: a three-scenario financial model (Conservative, Expected, Optimistic) with ROI, time-to-break-even, sensitivity analysis, and an explicit cost of inaction.

• Design the Measurement Spine, decomposing the sponsor's Impact KPI into Value Driver KPIs, and defining Adoption Diagnostics (Reach and Depth) that explain why the numbers moved.

• Capture before-and-after baselines for every use case ahead of deployment, using quantitative snapshots, user surveys, and stakeholder interviews, so impact can be proven afterward.

• Stand up and run measurement instruments, including the Copilot Dashboard in Viva Insights and the per-engagement Pulse Dashboard (Power BI) that reads the Measurement Spine live.

• Produce the Agentic Business Impact Report, correlating AI and agent deployment to financial KPIs such as cycle time, cost-to-serve reduction, and throughput improvements tied to specific workflows.

• Own the P&L of every Frontier Loop, accounting for human labor, agents, tokens, licenses, and value leakage, and surfacing where projected value is or is not being realized.

• Assess Scale Readiness at the end of each engagement (Scale / Sustain / Pivot) and translate the final value assessment into a defensible financial figure that informs the scale decision.

• Develop reusable value patterns, rubrics, benchmarks, and playbooks that scale the Value Creation and Management discipline across industries and regions, and transfer the practice to the customer's own finance and value owners.

Success in this role looks like

• Every AI and agent investment is anchored to a value hypothesis and a strategic KPI, with a clear baseline captured before anything is built.

• Sponsors secure funding because the Business Case is credible, transparent, and directly tied to the customer's strategic priorities.

• Customers move from concept to funded delivery to proven, board-visible P&L impact rather than anecdotal productivity gains.

• Value is measured live against baselines, and the scale decision (Scale / Sustain / Pivot) is grounded in evidence.

• The customer's own finance and value owners can run the Value Realization Framework after the engagement fades, and field learnings improve the value playbooks and benchmarks used everywhere else.

Qualifications

Required Qualifications

• Bachelor's Degree in Business, Finance, Economics, Engineering, Computer Science, Data Science, or a related field, AND 6+ years of experience in business value consulting, value engineering, management consulting, financial modeling, or business analysis; OR Master's Degree in a relevant field AND 4+ years of such experience; OR equivalent experience.

• Demonstrated experience building business cases, ROI and financial models, and value hypotheses that have secured investment or funding decisions.

• Experience defining KPIs and success metrics and measuring realized business outcomes against baselines.

• Experience working directly with senior business and finance stakeholders (including CFO or executive sponsors) to scope ambiguous problems and quantify business value.

• Strong analytical and quantitative skills, including financial modeling, scenario analysis, and sensitivity analysis.

• Ability to translate complex technical and AI concepts into clear business value, financial terms, and executive-ready recommendations.

• Proficiency with data analysis and reporting tools such as Excel and Power BI (or comparable BI/dashboarding platforms).

• Demonstrated ability to operate across finance, strategy, engineering, product, and delivery teams.

• Strong problem-solving skills in ambiguous, fast-moving environments.

Preferred Qualifications

• Master's degree (MBA or a quantitative/finance discipline) or equivalent advanced qualification in a value, finance, or economics field.

• Experience with value realization, value engineering, or business value frameworks in an enterprise consulting or technology environment.

• Familiarity with AI, agentic AI, and Microsoft platforms such as Microsoft Copilot, Viva Insights (Copilot Dashboard), Azure AI Foundry, and Microsoft Fabric.

• Experience designing measurement systems and building live dashboards (for example, Power BI) that track KPIs against baselines.

• Understanding of digital-labor economics, including the cost structure of agents, tokens, and licenses, and how to account for value leakage.

• Industry depth in one or more sectors such as financial services, life sciences, manufacturing, energy, retail, or the public sector.

• Experience shaping SOWs, effort estimates, and success criteria, and defining value governance for large transformation programs.

• Ability to work with executive sponsors, finance leaders, business owners, and delivery teams, and to transfer value practices to a customer's own people.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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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.