Services Capacity and Delivery-Cost Forecast Design Lead

The mandate

The defined problem is that workload forecasts do not consistently translate into delivery cost and commercially supportable capacity choices. The consultant will build that bridge for agreed service lines. The project is not an engagement to execute workforce changes or negotiate customer scope.

Deliverables are a workload-to-capacity model, delivery-cost driver register and commercial scenario pack. The model must distinguish volume, complexity, productivity and available staffing rather than treat them as interchangeable adjustments. A user should be able to see whether a margin change reflects price, operating demand or a capacity commitment that has not yet been approved.

The five-month build starts on 19 October 2026 and closes on 18 March 2027. The first milestone on 30 November delivers definitions and the reconciled capacity baseline. The second on 25 January provides model logic and commercial scenarios. The final 18 March milestone completes user validation and transfers the controlled pack. Three delivery days weekly are reserved.

Acceptance is by the VP finance and delivery planning sponsor. They must refresh workload inputs, reproduce cost consequences and explain a fresh capacity decision. Tests include demand volatility and a complexity shift. A model that reconciles payroll totals but cannot explain the capacity needed to serve changed work will not satisfy acceptance.

The sponsor provides authorised workload, cost and capacity records, minimised operational data and an internal model custodian. Mumbai is primary with planned remote service-line workshops. Workforce execution, contract renegotiation and healthcare-process certification are excluded. Additional service models or ongoing planning support require approved scope and fee control before they change the completion obligation.

What you will own

• Define workload, complexity and productivity drivers with delivery and finance owners, preserving the distinction before translating operating demand into a cost forecast.
• Reconcile the capacity baseline to authorised staffing and cost records, separating missing evidence from legitimate differences in productive and paid availability.
• Build model logic for volatile demand and complexity changes, tracing their separate effects on required capacity, cost and commercial contribution.
• Create the commercial scenario pack with explicit approval gates, preventing an analytical recommendation from being mistaken for an authorised staffing or contract change.
• Test fresh service cases with planning users, identifying whether changed inputs can be processed without hidden overrides designed to reach a target margin.
• Revise driver guidance from validation failures, identifying the workload sample or productive-hours evidence needed before a disputed productivity assumption can alter forecast capacity or service cost.
• Transfer the controlled model through independent custodian execution, documenting residual limitations and ownership of future cost-driver updates before final acceptance.

Candidate qualifications

• Demonstrate hands-on services FP&A or capacity-cost modelling in RCM, IT services or comparable delivery environments. Explain a driver distinction that materially changed required capacity or contribution.
• Show technical modelling with source lineage and reconciled cost inputs. Candidates should describe how paid and productive capacity differed and why the distinction mattered to the commercial outlook.
• Provide validation experience involving volatile demand or complexity change. Explain a forecast error exposed by fresh cases and the model or assumption revision made before acceptance.
• Evidence consulting transfer and scope discipline. Show how an internal custodian refreshed the model and how requests for ongoing workforce planning remained separate from the bounded design fee.
• Demonstrate careful handling of sensitive operational records and practical business-finance capability. The project does not confer staffing or clinical authority. Candidates should explain a capacity scenario that remained conditional, the evidence needed before action and why reconciling total payroll alone did not establish a model capable of explaining the economic consequence of changed workload. Explain how a fresh service line with supported payroll but weak complexity data was processed after transfer. Candidates should show the limitation retained, the separate scenario used and the point at which more operating evidence was needed before recommending a capacity commitment.

Application

Applications for this mandate are received in one way only: through the India Board Terminal's application process. It is automated end to end. Your Executive Passport travels to the mandate holder in its confidential form, your answers to the three questions below are read before anything else in your file, and every stage that follows is recorded on your applications page.

There is no address to write to and no intermediary to call. The mandate holder reads what the Terminal delivers and nothing else, which is what keeps the process the same for every applicant and keeps your name out of it until you release it. Applications close on 7 October 2026. Mandate reference PCT-CON-2026-IND-19.