Lead, Enterprise AI FinOps

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$155,400–$233,000 / yr
Posted
79 days ago
Freshness
Confirmed live yesterday
Closes
Dec 21, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $194k
$145k most similar roles pay here $257k

This role pays less than 56% of similar roles. Most pay $167,700–$246,150 — the shaded band above. At the midpoint, this role pays about $194k versus about $207k for comparable roles.

Based on 239 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 623 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · Lead, Enterprise AI FinOps

Lead, Enterprise AI FinOps establishes and operates the financial governance discipline for company-wide AI usage within the Information Technology Group. This role manages cost visibility, show-back, optimization, budgeting, and forecasting across a multi-cloud landscape including Azure, AWS, and GCP, as well as SaaS and on-premise platforms. The individual will build the AI-FinOps operating model, define governance mechanisms, and translate complex telemetry into executive reports regarding models, tokens, prompts, agents, embeddings, context windows, and RAG systems. Key responsibilities include managing departmental budgets, identifying cost reduction opportunities, and partnering with Finance and Procurement teams to ensure fiscal discipline. The role requires expertise in cloud cost models, large-scale data analysis, and tools such as Power BI, Tableau, Looker, Databricks, Snowflake, BigQuery, SQL, or Python to manage the specific financial complexities of AI infrastructure.

What you'll do

  • Establish the AI-FinOps operating model including visibility, cost accountability, show-back, and leadership reporting.
  • Provide end-to-end usage visibility across multi-cloud, on-premise, and SaaS AI platforms.
  • Design and implement show-back methodologies with transparent allocation rules for shared AI systems.
  • Manage the full departmental budget including forecasting, tracking, accruals, and vendor cost planning.
  • Identify and execute cost reduction opportunities to eliminate waste without compromising business value.
  • Produce executive-ready reports and narratives regarding AI cost growth, adoption health, and efficiency gains.
  • Define KPIs to distinguish healthy AI adoption from uncontrolled consumption across the enterprise.

What we're looking for

  • Candidates must have 7+ years of IT experience with a Bachelor's degree or 9+ years of IT experience without a Bachelor's degree.
  • Candidates must have at least 4 years of experience in a leadership role for projects or programs.
  • Candidates must have 8+ years of experience in FinOps, cloud cost management, technology finance, IT financial management, or enterprise analytics.
  • Experience managing budgets, forecasts, financial reporting, and cost optimization programs is required.
  • Candidates must possess a strong understanding of cloud cost models for Azure, AWS, or GCP.
  • Ability to analyze large-scale usage data and deliver actionable business insights is required.
  • Strong stakeholder management skills across senior leaders, finance partners, and technical teams are required.
  • Experience building dashboards, KPIs, and recurring operating reviews is required.

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