Staff FinOps Analyst, Enterprise AI

Procore Technologies; City of Rochester (NY); À distance; USD 130 000 - 178 000; Plein temps

Avantages offerts par ce poste

Equity compensation

Bonus incentive compensation

Résumé du poste

FinOps Weekly in partnership with Procore seeks a Staff FinOps Analyst, Enterprise AI, to shape how AI spend is tracked, forecasted, and connected to business value. You’ll partner across Finance, Procurement, Engineering, Data, and business leaders to build visibility and governance for AI spend at scale.

You will develop forecasts, cost models, and allocation methods, drive monthly reviews, and influence pricing decisions for AI tools and deployments in a rapidly evolving center of excellence.

Qualifications

• 6+ years of FinOps, IT finance, cloud cost management, or FP&A experience.
• Experience managing consumption-based spend such as cloud or AI.
• Strong SQL skills and data translation for executives.
• Experience with Tableau or similar BI tools.

Responsabilités

• Own the company-wide view of AI spend across licenses, usage, services, add-ons, and consumptions.
• Define the AI FinOps operating model, metrics, guardrails, and monthly cadence.
• Analyze spend trends and translate findings into actionable recommendations.
• Build forecasts, scenario models, and planning inputs for business units.
• Develop cost models and total cost of ownership analyses for AI tools.
• Monitor spend anomalies and explain monthly variance to budget.
• Provide allocation/chargeback reporting by cost center and business unit.
• Support renewal analysis and pricing model evaluations.

Connaissances

FinOps

SQL

Tableau

Forecasting

Executive communication

Cross-functional collaboration

Ambiguity management

Outils

Snowflake

Databricks

AWS

Description du poste

Procore is building a new Enterprise AI Center of Excellence within its Enterprise Technology & Business Platforms team, and this role sits at the center of that effort. The purpose of the position is to make AI spend visible, predictable, and clearly connected to business value as adoption grows across the company.

As a Staff FinOps Analyst, Enterprise AI, you will focus on strategy, analysis, and decision support rather than data pipeline ownership. You will partner with Technology Operations, Data Engineering, the Principal Product Manager for Enterprise AI, Finance, Procurement, Enterprise IT, and business leaders to define how AI spend is tracked, forecasted, allocated, and explained.

This role reports to the Senior Director, Technology Transformation & Enterprise AI. It is based in Austin, Texas, with openness to strong candidates anywhere in the U.S.

Key Responsibilities

• Own the company-wide view of AI spend, including seat licenses, model and API usage, cloud AI services, SaaS-based AI add-ons and credits, and agent-related spend.
• Define the AI FinOps operating model, including metrics, definitions, guardrails, and the monthly review cadence.
• Analyze spend trends, drivers, waste, and value, and translate findings into recommendations for leaders and Finance.
• Build forecasts, scenario models, and planning inputs for business units, rollouts, and pricing changes.
• Develop cost models and total cost of ownership analyses for new AI tools and major deployments.
• Monitor spend anomalies, establish alert thresholds, and explain monthly variance against budget.
• Produce allocation and chargeback reporting by business unit and cost center, and provide usage data to support invoice reconciliation and accounting needs.
• Recommend optimization actions such as changes to access tiers, spend caps, model mix, idle seats, and overlapping tools.
• Track unit economics and value measures such as cost per active user, use case, agent run, and outcome.
• Support vendor and renewal analysis by comparing actual usage to commitments and evaluating pricing models.
• Define reporting requirements for AI spend dashboards and partner with Technology Operations on delivery.

Required Skills

• 6+ years of experience in FinOps, IT finance, cloud cost management, or FP&A for technology spend.
• Experience managing consumption-based spend such as cloud, data platforms, or AI.
• Strong SQL skills.
• Experience with Tableau or similar BI tools.
• Ability to build forecasts, scenario models, and cost allocation or chargeback processes.
• Clear communication skills with executives and Finance.
• Experience translating complex data into practical recommendations.
• Experience working across finance, engineering, data, procurement, and business teams.
• Ability to operate in ambiguity and create structure in a new environment.

Preferred Skills

• FinOps Certified Practitioner certification.
• FinOps for AI certification.
• Familiarity with AI token pricing and usage models.
• Experience with cost tools for Snowflake, Databricks, or AWS.

FinOps Platforms

• FinOps for AI concepts and practices

Data & Analytics

• Snowflake
• Databricks

Programming Languages

• SQL

Reporting & BI

• Tableau

FinOps Responsibilities

• Track and manage AI spend across licenses, usage, services, add-ons, and agent-based consumption.
• Define the framework for AI cost visibility, governance, metrics, and review cadence.
• Build forecasts and scenario models for planning.
• Create allocation and chargeback reporting by business unit and cost center.
• Monitor spend anomalies and variance to budget.
• Support cost optimization through tiering, caps, model mix decisions, and tool rationalization.
• Develop unit economics and value tracking for AI use cases and agent activity.
• Analyze usage against commitments and support renewal and pricing assessments.
• Build total cost of ownership analyses for new AI tools and rollouts.

• Base salary range of $129,600.00 to $178,200.00 annually.
• May be eligible for equity compensation.
• May be eligible for bonus incentive compensation.

Why You Might Be Interested

This role offers the opportunity to help shape how a company manages AI spend across the business from the ground up. It combines strategic FinOps work with executive-facing analysis, forecasting, and value measurement in a new Enterprise AI Center of Excellence. You will work closely with Finance, Product, Technology Operations, Data Engineering, Procurement, and business leaders on a company-wide priority. The position also provides exposure to a broad set of AI-related spend types, including cloud services, SaaS add-ons, and usage-based tools.