Senior Business Value Creation Lead

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.

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.
• 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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