Lead, Enterprise AI FinOps

Enterprise AI FinOps Lead

The Enterprise AI FinOps Lead establishes and operates the financial governance discipline for company-wide AI usage. This role owns cost visibility, show-back, optimization, budgeting, forecasting, and stakeholder engagement across a multi-cloud (Azure, AWS, GCP), SaaS, and on-premise AI landscape.

This is not a traditional cloud cost role. It requires deep understanding of AI-specific cost driversmodels, tokens, prompts, agents, embeddings, context windows, RAG systems, and adoption behaviorand the ability to translate telemetry into actionable insights, optimization programs, and executive reporting.

The role also owns full budget management for the Enterprise AI department.

This role requires full-time onsite work in San Diego, CA (5 days per week).

This role is not eligible for Qualcomm immigration sponsorship.

Key Responsibilities

• Build & Operate the AI FinOps Function
• AI Cost Visibility & Intelligence
• Show-Back & Chargeback Readiness
• Budgeting, Forecasting & Financial Management
• Optimization & Cost Reduction
• Executive Reporting & Leadership Engagement

Required Qualifications

• 8+ years in FinOps, cloud cost management, technology finance, IT financial management, or enterprise analytics.
• Proven experience managing budgets, forecasts, financial reporting, and cost optimization programs.
• Strong understanding of cloud cost models (Azure, AWS, or GCP).
• Ability to analyze large-scale usage data and deliver actionable business insights.
• Strong stakeholder management across senior leaders, finance partners, and technical teams.
• Experience building dashboards, KPIs, and recurring operating reviews.
• Excellent executive communication skills (written and verbal).
• Ability to operate independently and develop operating models and business processes from the ground up.

Preferred Qualifications

• Experience with AI/GenAI/LLM platforms, token-based pricing, or AI platform operations.
• Familiarity with tokens, embeddings, RAG, agents, context windows, model routing, prompt optimization, and inference workloads.
• Multi-cloud cost management experience.
• On-premise infrastructure cost allocation experience.
• Cross-functional partnership with Finance, Procurement, Legal, Contracts, and Engineering.
• Proficiency with Power BI, Tableau, Looker, Databricks, Snowflake, BigQuery, SQL, Python, or similar tools.

Ideal Candidate Profile

A practical operator who sits at the intersection of AI platforms, finance, data, and enterprise leadershipequally comfortable analyzing raw usage data and presenting cost trends to senior executives. Treats FinOps not as cost-cutting, but as enabling responsible AI adoption with visibility, accountability, and efficiency.

Minimum Qualifications:

7+ years of IT-related work experience with a Bachelor's degree. OR 9+ years of IT-related work experience without a Bachelor's degree. 4+ years in a leadership role in projects/programs.

Pay range and Other Compensation & Benefits :

$155,400.00 - $233,000.00