Chief Financial Officer – Transformation — Analytics Organisation

The mandate

A Pune analytics organisation has become indispensable to pricing, demand planning and customer decisions across its multinational parent, but its financial model still treats analytics as hours delivered. Business units commission overlapping models, infrastructure charges are pooled, reusable data products have no owner and reported savings often lack a counterfactual. The organisation is ready to own products; the economics needed to govern that step do not yet exist.

The newly created Chief Financial Officer – Transformation will design those economics while retaining stewardship of approximately ₹3,400 crore in annual global-services expenditure connected to 2,550 employees and material partners. This is not the statutory CFO of the parent. It is a senior finance executive embedded with analytics, engineering and business leaders, charged with making product investment, consumption and value visible enough for rational choices.

Initial work will centre on a small set of analytics products used across markets: forecasting services, decision engines and common data assets. Each has different users, risk and marginal costs. The CFO must avoid a simplistic chargeback exercise that rewards consumption or creates internal salesmanship. The desired model should reveal full lifecycle cost, distinguish enterprise infrastructure from optional features and connect funding to attributable operational outcomes. Where attribution is genuinely uncertain, the leader must make assumptions explicit rather than manufacture precision.

Why this seat is open

The board approved this role as part of next year’s operating model, allowing a planned four-to-six-month search. No predecessor is being displaced. Finance support is currently distributed among the centre controller, transformation office and business partners, leaving no executive with authority across product portfolios. The appointee should join before annual capital and workforce choices are locked, but present leaders retain their mandates until the position is activated.

What you will own

• Create a product-finance taxonomy defining investment, run, remediation and retirement expenditure for analytics and data products.
• Build unit economics for selected products, including infrastructure consumption, data acquisition, model monitoring, support and change demand.
• Establish benefit baselines with business CFOs before new investment is approved and assign ownership for realised value after deployment.
• Design portfolio reviews that compare product health and value without forcing unlike risk, regulatory and growth cases into one synthetic score.
• Reconcile cloud, vendor, workforce and allocated group costs into a decision-useful view of the ₹3,400 crore expenditure perimeter.
• Partner with product leaders on pricing or internal funding mechanisms that encourage reuse and make low-value customisation visible.
• Recruit a finance team able to challenge data scientists, interpret model-lifecycle obligations and communicate uncertainty to capital committees.
• Set financial gates for retirement, including decommissioning cost, user migration and the treatment of benefits already booked.

The first 12 months

The first quarter will produce an auditable cost and value map for the priority analytics portfolio. The CFO must resolve conflicting product inventories, choose a source of truth for cloud and people cost, and have sponsors sign the baseline for at least five material investment cases. A short paper to the board will identify where value claims cannot presently be substantiated and what decisions should pause as a result.

Between months four and nine, the new product-finance model will be used for live allocation decisions. At least three duplicated capabilities should be combined, redirected or retired; the largest shared products will receive multi-year total-cost views; and finance business partners will be assigned to durable product groups instead of transient projects. Forecasting will separate volume, rate, architecture and scope variance.

By year-end, 80% of in-scope product expenditure should have an accountable product and benefit owner, forecast error for the governed portfolio should be below 7%, and verified annualised value should exceed the cost of the first investment wave by at least 1.4 times. The organisation should also release 10% of addressable cloud or vendor run cost without weakening model controls.

What the board will measure

• A single reconciled portfolio ledger that agrees to financial accounts while remaining intelligible to product and engineering leaders.
• Elimination of double-counted benefits in board investment papers and independent confirmation of the five largest value cases.
• Investment decisions demonstrably changed by product economics, including at least one well-supported stop or retirement decision.
• Faster portfolio forecasting and fewer unallocated costs, with no deterioration in statutory or management-control quality.
• A capable finance bench whose leaders can explain cost drivers, model risk and business value without relying on programme jargon.

The person

You are likely a CFO, deputy CFO, finance-transformation leader or group controller who has created commercial and capital discipline around data, software or platform products. You have signed off investment cases, owned the underlying ledger and returned later to test whether benefits materialised. Familiarity with cloud economics and model governance matters; formal data-science credentials do not.

The expected experience range is 22–28 years. Candidates should have held accountable scope of at least ₹1,950 crore and led an organisation or transformation affecting 1,775 people or more. The committee seeks an executive who can challenge both finance’s desire for false certainty and technology’s habit of calling every cost foundational. You must be able to explain the consequences of a cost-allocation decision to engineers, business presidents and audit stakeholders in different language without changing the facts.

The position is onsite in Pune and requires regular working sessions with product teams. Relocation is expected.

Compensation and terms

The expected package is ₹2.2–3.0 crore fixed plus performance variable. The final offer will reflect experience, current mix and the breadth of the agreed transformation. Variable measures will prioritise verified value, forecast quality and durable financial controls, not gross savings claims. The organisation can accommodate a notice period of up to six months.

Confidentiality

The published description intentionally combines and rounds operating facts. Product names, served businesses, ownership and precise expenditure will be shared only after both parties choose to proceed under confidentiality. Candidates should assess the professional problem presented here rather than try to decode the employer from the analytics portfolio.