Senior Manager, FinOps - Private Cloud Capacity

ServiceNow•Pleasanton, CA

6d•Remote

About The Position

This leader will partner across Capacity Engineering, Data Center Operations, Finance, Accounting, Procurement, and AI Engineering teams to optimize capital utilization, accelerate data center consolidation programs, improve infrastructure lifecycle management, and automate core financial processes. The ideal candidate combines strong financial acumen, infrastructure strategy expertise, supply chain leadership, and operational execution skills to drive measurable business outcomes across a global private cloud environment.

Requirements

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
12 years of related experience with a Bachelor's degree in Engineering, Supply Chain, Finance, Computer Science, Business, or related field; or 8 years and a Master's degree; or a PhD with 5 years experience; or equivalent experience.
10+ years of experience in one or more of the following: FinOps, Cloud economics, Capacity planning, Data center operations, Supply chain management, Infrastructure finance.
Experience managing large-scale infrastructure programs involving: Data center capacity, Server lifecycle management, Hardware procurement, Capital expenditure planning.
Strong understanding of: Asset depreciation, Infrastructure accounting, Financial planning and analysis, Capital investment management.
Experience driving cross-functional initiatives across Engineering, Finance, Procurement, and Operations organizations.

Nice To Haves

Experience operating hyperscale infrastructure environments.
Strong knowledge of private cloud or hybrid cloud capacity management.
Experience leading data center closures, consolidations, or migration programs.
Familiarity with AI/ML-driven business process automation.
Expertise with ERP, procurement, and financial systems.
Knowledge of supply chain analytics and predictive planning techniques.
MBA, Master's degree, or relevant certifications (FinOps, Supply Chain, PMP).

Responsibilities

Lead end-to-end planning and execution for data center footprint reduction and migration initiatives.
Develop site-by-site execution plans identifying: Rack decommission schedules, Aisle and cage consolidation opportunities, Space reclamation targets, Facility exit milestones.
Partner with Capacity Engineering teams to consolidate workloads, optimize rack utilization, and free up servers and racks for decommissioning.
Partner with Data Center Operations teams to execute hardware retirement programs, coordinate equipment removal, and ensure operational readiness during migrations.
Create executive reporting for: Capacity recovery, Space reclamation, Financial benefits realization, Risk mitigation.
Manage cross-functional governance reviews and executive business updates.
Drive financial analysis and accounting readiness for infrastructure retirement programs.
Assess hardware assets scheduled for decommissioning including: Servers, Storage systems, Network equipment, Data center infrastructure.
Analyze: Asset age, Net book value, Remaining depreciation schedules, Write-off exposure.
Develop financial plans supporting: Asset retirement decisions, Capital recovery strategies, Accounting treatment recommendations.
Partner closely with Finance and Accounting teams to ensure compliance with corporate accounting policies.
Evaluate colocation and facility contracts associated with migration programs.
Identify: Early termination risks, Contract obligations, Opportunity costs and Exit penalties.
Develop business cases and executive recommendations for facility exits and consolidation opportunities.
Quantify financial impact and long-term savings from data center footprint optimization.
Lead modernization and automation of the end-to-end infrastructure supply chain.
Design and implement an integrated planning process spanning: Demand forecast, Capacity planning, Procurement, Manufacturing, Logistics, Installation, Deployment readiness.
Build operational visibility into capacity lifecycle stages, including: Demand signal and CAPEX approved, Purchase order creation, Supplier manufacturing, Logistics transit, Data center receipt, Rack-and-stack, Workload-ready capacity.
Deliver executive dashboards and KPIs that provide visibility into capacity availability and supply chain bottlenecks.
Partner with Engineering teams to improve forecasting accuracy and reduce deployment lead times.
Lead digital transformation initiatives to automate infrastructure financial operations.
Partner with AI, Finance, Procurement, and Engineering teams to automate: Goods receipt processing, Invoice validation, Supplier invoice routing, Matching and reconciliation workflows.
Establish operational controls and reporting to improve financial governance and visibility.