Staff FinOps Analyst, Enterprise AI

Overview

The organization is building an Enterprise AI Center of Excellence within its Enterprise Technology & Business Platforms team. This role will help make enterprise AI adoption visible, predictable, and tied to measurable value.

This position focuses on AI spend strategy and insights—ensuring consumption-based AI costs are actively managed, accurately tracked, and translated into recommendations for technology and business leaders.

Responsibilities

• Own the full picture of AI spend by building and maintaining a single source of truth for:
  • Seat licenses
  • Model and API usage
  • Cloud AI services (including AWS Bedrock and Google Vertex AI)
  • Usage-based AI inside platforms (including Snowflake and Databricks)
  • AI add-ons and credits in SaaS contracts
  • Agents built and run internally or through vendors that charge per agent or per action
• Build and maintain the AI FinOps framework, including:
  • Metrics and definitions
  • Guardrails
  • Monthly operating rhythm
• Turn spend into insights by identifying what drives spend, where it is growing, what delivers value, and where waste exists; brief leaders and Finance on key takeaways
• Forecast and plan AI spend by business unit using scenario models for:
  • Planning cycles
  • New rollouts
  • Pricing changes
• Build business cases by producing cost models and TCO for new AI tools and major rollouts to support portfolio decisions
• Monitor spend and explain variance, including:
  • Spotting anomalies
  • Working with Enterprise IT on alert thresholds
  • Explaining variance to budget each month
• Build allocation and chargeback reporting by mapping AI spend to business units and cost centers each month, enabling FP&A and Accounting to reconcile vendor invoices, run chargeback, and book entries
• Recommend optimizations such as:
  • Access tier changes
  • Spend caps
  • Model mix adjustments
  • Idle seat reductions
  • Overlapping tool consolidation to reduce waste without slowing teams down
• Measure unit economics and value by tracking cost per:
  • Active user
  • Use case
  • Agent run
  • Outcome
  • Partner with the Principal Product Manager to align with value measurement for each use case and measure time to value and productivity gained
• Inform vendor and renewal strategy by analyzing actual usage vs. commitments and comparing pricing models
• Own AI spend reporting requirements by defining what dashboards show, for whom, and how often; partner with Technology Operations to deliver reporting

What This Role Does Not Own

• Budget decisions
• Setting or running chargeback (FP&A)
• Booking entries (Accounting)
• Configuring caps and limits in the platform (Enterprise IT)
• Building data pipelines (Data Engineering)
• Leading vendor negotiations (Procurement and the business owner)
• Costs of AI features in customer-facing products

The role provides visibility into AI spend to ensure a complete company-wide view. Agentic Foundation owns P&T’s AI spend reporting and optimization decisions.

Requirements

• 6+ years in FinOps, IT finance, cloud cost management, or FP&A for technology spend
• Experience managing consumption-based spend (e.g., cloud, data platforms, or AI)
• Strong SQL and Tableau or similar BI skills, including comfort pulling, checking, and exploring data directly even when pipelines and dashboards are owned by Technology Operations
• Experience building forecasts, scenario models, and cost allocation or chargeback processes
• Clear communication with executives and Finance; ability to translate complex numbers into actionable recommendations
• Experience partnering across finance, engineering, data, procurement, and business teams
• Comfortable operating in ambiguity and building structure where none currently exists

Preferred Qualifications

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

Compensation & Benefits

• 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.
• Actual compensation will be based on job-related skills, experience, education, or training, and location.

Location

• Based in Austin, Texas office, or open to candidates anywhere in the U.S.

Additional Information (Fair Chance)

For Los Angeles County (unincorporated) candidates: all qualified applicants will be considered in accordance with 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 withdrawal of a conditional offer of employment:

1. Appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing the organization’s information technology systems and platforms
2. Interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues
3. Exercising sound judgment