Staff FinOps Analyst, Enterprise AI

Procore Technologies is the leading technology partner for every stage of construction. We empower construction teams to drive efficiency and mitigate risk through actionable AI & data-driven insights. For over 20 years, we have been transforming the industry with purpose-built solutions for construction professionals and we’re looking for talented people to help us build together.

We are looking for a Staff FinOps Analyst, Enterprise AI to make Procore's AI spend visible, predictable, and tied to business value. As the Staff FinOps Analyst, Enterprise AI on our Enterprise AI Center of Excellence team within Enterprise Technology & Business Platforms, you will work closely with Finance, Procurement, Enterprise IT, and business leaders to drive financial discipline, active spend management, and strategic visibility across our expanding AI ecosystem. Your strengths in FinOps frameworks, consumption-based financial modeling, and cross-functional leadership will drive your success.

You will report to the Senior Director, Technology Transformation & Enterprise AI and will be based in our Austin, TX office or remotely within the US.

What You’ll Do

- Own the full picture of AI spend : Build and maintain one source of truth for Procore's enterprise AI investments, including seat licenses, API usage, cloud AI services (AWS Bedrock, Google Vertex AI), platform consumption (Snowflake, Databricks), SaaS add-ons, and autonomous agents.
- Build and operationalize the AI FinOps framework: Define governance metrics, guardrails, policy thresholds, and monthly operating rhythms to actively manage consumption-based growth.
- Deliver strategic spend insights: Analyze key spend drivers, trends, and return on investment; brief executive leadership and Finance on variance, efficiency opportunities, and resource reallocation.
- Lead enterprise forecasting and scenario planning: Develop detailed spend forecasts by business unit alongside scenario models to inform planning cycles, new tool rollouts, and pricing adjustments.
- Build business cases and TCO models: Partner with the Principal Product Manager, Enterprise AI, to construct Total Cost of Ownership (TCO) models that guide AI portfolio and investment decisions.
- Drive allocation and chargeback reporting: Map monthly AI spend to business units and cost centers, providing FP&A and Accounting with usage data needed for invoice reconciliation, chargebacks, and general ledger bookings.
- Recommend continuous optimizations: Partner with Enterprise IT to recommend optimizations across access tiers, spend caps, model mix, and license reclamation to eliminate waste without impeding adoption.
- Measure unit economics and vendor strategy: Track unit metrics (cost per user, use case, or agent action) against productivity outcomes, and partner with Procurement to analyze usage trends for contract renewals.

What You Bring

- 6+ years of progressive experience in FinOps, IT finance, cloud cost management, or FP&A managing enterprise technology spend.
- Proven track record managing consumption-based cost models across cloud infrastructures, data platforms, or AI services.
- Advanced technical data proficiency using SQL and BI visualization tools (such as Tableau) to independently query, model, and analyze large consumption datasets.
- Deep experience developing complex forecasting models, scenario plans, and cost allocation/chargeback processes for business units.
- Exceptional executive communication and storytelling skills, with demonstrated ability to translate complex data into actionable business recommendations.
- Demonstrated success partnering cross-functionally across finance, data engineering, enterprise architecture, procurement, and executive leadership.
- High adaptability and strategic problem-solving skills, with a track record of establishing structure and operational frameworks in ambiguous environments.
- Bachelor's degree in Finance, Economics, Computer Science, Information Systems, or equivalent practical experience; FinOps Certified Practitioner (FOCP) or FinOps for AI certification is a plus.

Strong-fit Background Might Include

- Cloud Financial Analyst / Cloud FinOps Lead with experience managing multi-cloud or large-scale consumption models.
- Strategic Technology FP&A Manager / IT Business Partner overseeing enterprise SaaS, data infrastructure, and AI tooling budgets.
- Cloud Cost Optimization Specialist or Technology Business Management (TBM) Analyst experienced in chargebacks and unit economics.

Discover our recruiting process and interview tips from our talent acquisition team on our #LifeAtProcore blog .

Additional Information

Base Pay Range:
129,600.00 - 178,200.00 USD Annual

This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location.

For Los Angeles County (unincorporated) Candidates:

Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.