Strategic Director, CS Finance & Revenue Risk

GE Vernova; Dubai; On-site; AED 1,175,174 - 1,909,658; Full time

Job summary

GE Vernova is seeking a highly experienced SaaS finance and Customer Success leader to own end‑to‑end CS P&L, drive revenue-to-gross‑margin performance, and oversee productivity initiatives across CS. You will coordinate with Finance, Sales, Legal, and CS leadership to optimize pricing, AR management, and ROI‑driven investments while maintaining strong governance and risk oversight.

The role requires deep SaaS metrics expertise, advanced modeling skills, and strong English communication.

Qualifications

• Bachelor's degree or diploma in a relevant field from an accredited university or college.
• 10 years progressive SaaS finance/commercial operations experience blending Commercial Finance and Customer Success/Post‑Sales.
• Proven track record owning revenue‑to‑gross‑margin P&L in a customer‑facing unit.
• Deep SaaS metrics knowledge (ARR NRR churn CAC payback gross margin).
• Strong commercial acumen: reviewing/structuring/risk‑assessing complex B2B contracts/pricing.
• Strong operational acumen: Productivity KPIs etc..
• Strong communication skills in English.
• This role requires around 10% travel globally.

Responsibilities

• Manage end‑to‑end CS P&L Financials partner with GP Finance team: lead revenue recognition & close cycles cost‑to‑revenue allocation gross margin analysis variance bridges multi‑period roll‑forwards full forecasting (short‑term rolling long‑range scenario‑based) and ARR bridge integrity (net new/expansion/contraction/churn NRR/GRR decomposition revenue waterfalls)
• Lead comprehensive planning & budgeting process: build/govern annual budgets rolling forecasts multi‑year long‑range plans growth scenario modeling and headcount/investment projections aligned to CS strategic goals
• Govern capital allocation & ROI framework for CS investments: support headcount management tooling services scaling evaluations and growth projects through NPV/IRR modeling payback analysis and post‑investment ROI tracking to ensure highest‑return resource allocation
• Oversee high‑risk AR & reserve management plus pricing/unit economics: accelerate >90‑day super‑delinquent accounts for recovery (CS/Sales coordination relationship‑preserving tactics); model bad debt reserves monitor DSO; drive pricing/packaging governance for CS expansions/renewals and own unit economics deep‑dive (cost‑to‑serve LTV proxies cohort gross margin decay contribution margin by contract type)
• Co‑own key CS business drivers: renewals land & expand adoption churn prevention NRR gross margin expansion services delivery profitability upsell/cross‑sell velocity cost‑per‑renewal efficiency professional services margin realization
• Design and lead all the CS finance & operational cadences owning and facilitating all weekly pacing meetings across CS functions and regions (weekly business reviews QBR planning renewal sessions services pipeline reviews etc.)
• Own productivity play identification prioritization and implementation to optimize operations resource efficiency and cost‑to‑serve; partner on headcount planning capacity modeling resource allocation and gross margin improvement initiatives (contract economics reduced concessions operational leverage)
• Support CS leadership meetings: provide actionable insights/scenario modeling for lifetime value maximization; monitor/optimize services economics (revenue/cost per hour realization rates project profitability); manage budget over/under‑runs with corrective actions and re‑forecasting
• Partner proactively with Sales Commercial Ops and Legal throughout the deal cycle (early structuring finalization) to identify risk/margin/cash‑flow/execution issues; provide direct input on structuring pricing terms concessions; maintain ongoing advisory connectivity on deal models pricing frameworks discounts ramps usage‑based constructs policy evolution; collaborate closely with Legal
• Serve as central CS point of contact for all commercial/risk matters; conduct detailed pre‑execution review and mitigation of commercial terms (T&C pricing deviations payments SLAs liability multi‑year commitments); identify/address financial/cash‑flow/credit/contractual risks before CS handoff
• Act as final sign‑off/escalation point for non‑standard/high‑risk terms; translate signed agreements into reliable CS forecasts operational plans resource requirements for alignment across Sales/Legal/CS
• Lead structured feedback loop from CS execution back to Sales/Commercial Ops/Legal: analyze problematic deals diagnose root causes in structuring/assumptions drive preventive improvements to guidelines/templates/pricing/approvals/risk frameworks ensuring continuity between sold and profitably executed/collected
• Act as custodian of all CS finance & operations data: own governance integrity quality single source of truth access controls master data management cross‑functional reliability
• Design/build/maintain comprehensive self‑service dashboards & KPIs covering revenue health productivity/efficiency margin/economics services delivery operational metrics (ARR variants cost‑to‑serve revenue per FTE services realization/utilization project margins budget variance backlog/conversion etc.)
• Automate manual processes (revenue waterfalls forecasting templates variance tracking productivity reporting services invoicing reconciliation)
• Champion data‑driven decision making across CS by delivering reliable timely actionable insights accessible to all levels

Skills

Strong communication

Advanced modeling

SQL proficiency

BI tools

Education

Bachelor's degree or diploma in a relevant field

Tools

Excel/Google Sheets

Job description

GE Vernova is seeking a highly experienced SaaS finance and Customer Success leader to own end‑to‑end CS P&L, drive revenue-to-gross‑margin performance, and oversee productivity initiatives across CS. You will coordinate with Finance, Sales, Legal, and CS leadership to optimize pricing, AR management, and ROI‑driven investments while maintaining strong governance and risk oversight.

The role requires deep SaaS metrics expertise, advanced modeling skills, and strong English communication.