Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Establish and maintain consolidated visibility and forecasting of recurring technology spend across Cloud, AI, SaaS, and other services to manage financial risks and optimization.
Lead and mature FinOps strategy, governance, operating cadence, and accountability to enable Budget and Contract Owners to manage and optimize their technology spend effectively.
Provide financial intelligence and analytics to support decision-making around technology consumption, contracts, renewals, optimization opportunities, and savings realization for executive leadership.
Minimum Requirements
8+ years experience in FinOps, Cloud Financial Management, technology finance, or related disciplines with leadership experience in cost management at scale.
Proven expertise in forecasting, budgeting, cost allocation, optimization tracking, and financial analytics related to technology consumption and contracts.
Working knowledge of public cloud economics (especially AWS), SaaS spend management, and AI consumption models; ability to interpret consumption data and partner with technical teams.
Bachelor's degree in Finance, Economics, IS, Computer Science, Engineering, Data Science, Business or equivalent; experience with FinOps platforms and data analytical tools like Power BI, SQL, Tableau.
Ideal Candidate Profile
Experienced FinOps leader who can translate complex technology consumption and contract data into actionable financial plans and performance insights across hybrid Cloud, AI, and SaaS environments.
Strong collaborator with proven ability to establish operating models that enable Budget and Contract Owners to manage spend with clear accountability and governance.
Practitioner with a strategic understanding of technology and commercial cost drivers, capable of influencing technology and finance teams to improve transparency, forecasting accuracy, and cost optimization outcomes.
