Qualcomm
Lead, Enterprise AI FinOps
$162K–$242K
San Diego, California · On-site · Full-time · Posted Sep 17, 2026
- Experience
- 8+ years in specified finance/FinOps/analytics fields. Minimum qualifications also state 7+ years of IT-related work experience with a Bachelor's degree OR 9+ years without a Bachelor's degree, and 4+ years in a leadership role in projects/programs.
- Education
- Bachelor's degree; OR 9+ years of IT-related work experience without a Bachelor's degree.
- Visa sponsorship
- Not eligible for Qualcomm immigration sponsorship.
About the job
Establishes and operates financial governance for company-wide AI usage, including cost visibility, show-back, optimization, budgeting, forecasting, and executive reporting across cloud, SaaS, and on-premise platforms.
What you'll do
- Build AI FinOps processes, metrics, governance, and show-back practices; provide recurring leadership reporting.
- Own AI usage visibility, cost forecasting, budget planning, departmental financial management, and cost optimization.
- Partner with business and technical stakeholders to explain cost trends, business value, adoption, and efficiency.
What they ask for
- 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 insights.
- Experience building dashboards, KPIs, and recurring operating reviews; strong executive communication and stakeholder-management skills.
Nice to have
- 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 or on-premise cost allocation experience; proficiency with tools such as Power BI, Tableau, Looker, Databricks, Snowflake, BigQuery, SQL, or Python.
Pay
$161,700.00 - $242,500.00 (base salary)
Tools
Azure, AWS, GCP, Power BI, Tableau, Looker, Databricks, Snowflake
AI focus
Financial governance and optimization of enterprise AI usage, including AI-specific cost drivers such as models, tokens, prompts, agents, embeddings, context windows, and RAG systems.
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