Cloud Unit Economics Director — Consulting

The mandate

The problem is that aggregate cloud spend cannot explain margin by customer, feature or workload, so engineering optimisation and commercial decisions are disconnected. Reservation savings alone will not solve the gap.

The output is a ledger-reconciled allocation model, five product-unit metrics, customer and workload variance analysis, engineering opportunity register, commitment strategy and ninety-day action portfolio.

Milestone one is due 2 October 2026 with reconciled allocation and unit definitions; milestone two on 13 November with validated opportunities, commitment position, owners and transferred operating model.

The Cloud Economics Council accepts when allocation reconciles within one percent, five sampled invoices reproduce independently, product and finance approve unit definitions, and each priority action has measurable engineering evidence and a baseline.

The client provides billing exports, account hierarchy, telemetry, customer entitlements, revenue, architecture maps and current commitments. Engineering assigns service owners to validate allocation drivers within two working days.

Why this is external work

Finance can allocate invoices and engineering can optimise services, but neither owns the bridge to product margin. A neutral team creates one economic language quickly. The requirement concludes after model transfer and action ownership.

What you will own

• Reconcile cloud billing, credits, support and commitments to finance.
• Map shared and direct costs to services, workloads and customers.
• Define five milestone-one unit metrics tied to product value.
• Explain margin variance through demand, architecture, price and allocation.
• Quantify engineering opportunities with observable technical drivers.
• Test commitment purchases against growth and concentration scenarios.
• Transfer the milestone-two model and ninety-day action portfolio.

Candidate qualifications

• 18–22 years in cloud engineering, FinOps, technology finance or platform operations.
• Direct construction of unit economics for a large multi-tenant platform.
• Evidence of linking cloud cost changes to engineering behaviour and product margin.
• Strong knowledge of billing, commitments, allocation, telemetry and shared services.
• Ability to reconcile operational models to finance and revenue.
• Independence from optimisation-tool vendors and cloud resellers.

Non-negotiables

• No fee contingent on projected or realised savings.
• Reproducible client-owned calculations, not a consultant-hosted black box.
• Pune presence during both milestone acceptance weeks.
• Customer and billing data remain inside client-approved systems.

1. 49 words maximum. Which cloud unit-economics model did you build, and what engineering decision changed because of it?
2. 49 words maximum. How would you allocate shared platform cost without making product teams distrust the model?
3. 49 words maximum. Which billing, telemetry and entitlement fields are indispensable before unit definitions?