Director, FinOps - Private Cloud Capacity

ServiceNow•Kirkland, WA

7h•$192,600 - $337,100

About The Position

ServiceNow is seeking a Director, FinOps - Private Cloud Capacity, Data Center Strategy & Supply Chain, reporting to the VP, Technology Business Management & FinOps. This leader will direct strategic initiatives in data center migration and decommissioning, private cloud capacity optimization, supply chain transformation, and automation of infrastructure financial operations. The role partners with Capacity Engineering, Data Center Operations, Finance, Accounting, Procurement, and AI Engineering teams to improve capital utilization, advance data center consolidation, strengthen infrastructure lifecycle management, and automate financial processes across a global private cloud environment. The position leads data center footprint reduction and migration programs, including site-level plans for rack decommissioning, aisle and cage consolidation, space reclamation, and facility exits. It also oversees analysis and financial readiness for retiring infrastructure assets, evaluates facility contracts and leases, and develops business cases for consolidation. The leader modernizes infrastructure supply chain planning across forecasting, procurement, manufacturing, logistics, installation, and deployment readiness, and drives AI-enabled automation of goods receipt, invoice validation, routing, matching, and reconciliation workflows. The position requires passing the ServiceNow USFedPASS background screening, including credit and criminal/misdemeanor checks and a drug test. Due to federal requirements, candidates must be U.S. citizens, naturalized U.S. citizens, or U.S. permanent residents holding a green card. The role is listed as a regular employee position with a Flexible work persona. The stated base pay is $192,600–$337,100, plus equity when applicable, variable/incentive compensation, and benefits; actual compensation varies by qualifications and work location.

Requirements

15 years of related experience with a bachelor's degree in Engineering, Supply Chain, Finance, Computer Science, Business, or a related field; or 12 years of experience with a master's degree; or a Ph.D. with 8 years of 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, or infrastructure finance.
Experience managing large-scale infrastructure programs involving data center capacity, server lifecycle management, hardware procurement, and capital expenditure planning.
Strong understanding of asset depreciation, infrastructure accounting, financial planning and analysis, and capital investment management.
Experience driving cross-functional initiatives across Engineering, Finance, Procurement, and Operations organizations.
Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving; examples include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's impact on the function or industry.
Must pass the ServiceNow USFedPASS screening, including credit and criminal/misdemeanor checks and a drug test.
Must be a U.S. citizen, naturalized U.S. citizen, or U.S. permanent resident holding a green card due to federal requirements.

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 such as FinOps, Supply Chain, or PMP.

Responsibilities

Lead end-to-end planning and execution for data center footprint reduction and migration initiatives.
Develop site-by-site execution plans covering rack decommissioning schedules, aisle and cage consolidation, space reclamation targets, and facility exit milestones.
Partner with Capacity Engineering to consolidate workloads, optimize rack utilization, and free servers and racks for decommissioning.
Partner with Data Center Operations to execute hardware retirement programs, coordinate equipment removal, and ensure operational readiness during migrations.
Create executive reporting on capacity recovery, space reclamation, financial benefits realization, and risk mitigation.
Manage cross-functional governance reviews and executive business updates.
Drive financial analysis and accounting readiness for infrastructure retirement programs.
Assess servers, storage systems, network equipment, and data center infrastructure scheduled for decommissioning, analyzing asset age, net book value, remaining depreciation schedules, and write-off exposure.
Develop financial plans for asset retirement decisions, capital recovery strategies, and accounting treatment recommendations.
Partner with Finance and Accounting to ensure compliance with corporate accounting policies.
Evaluate colocation and facility contracts associated with migration programs, identifying early termination risks, obligations, opportunity costs, and exit penalties.
Develop business cases and executive recommendations for facility exits and consolidation, and quantify financial impacts and long-term savings.
Lead modernization and automation of the end-to-end infrastructure supply chain.
Design and implement integrated planning across demand forecasts, capacity planning, procurement, manufacturing, logistics, installation, and deployment readiness.
Build operational visibility into capacity lifecycle stages, from demand signals and CAPEX approval through purchase orders, manufacturing, logistics, data center receipt, rack-and-stack, and work-ready capacity.
Deliver executive dashboards and KPIs showing capacity availability and supply chain bottlenecks.
Partner with Engineering 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, and matching and reconciliation workflows.
Establish operational controls and reporting to improve financial governance and visibility.
Leverage or critically evaluate how AI can be integrated into work processes, decision-making, and problem-solving.