Lead, Enterprise AI FinOps

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$155,400–$233,000 / yr
Posted
4 days ago
Closes
Dec 21, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $214k
This role $194k
$144k most similar roles pay here $258k

This role pays less than 68% of similar roles. Most pay $183,125–$245,150 — the shaded band above. At the midpoint, this role pays about $194k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

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

Qualcomm currently has 834 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 514 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Lead, Enterprise AI FinOps

Role Posting Log in to save

The Enterprise AI FinOps Lead at Qualcomm is responsible for establishing and operating the financial governance framework for company-wide AI usage across multi-cloud environments including Azure, AWS, GCP, SaaS, and on-premise platforms. This role involves building cost visibility, show-back methodologies, budgeting, forecasting, and engaging stakeholders to ensure efficient AI adoption while managing costs. Key responsibilities include defining processes and metrics for financial governance, identifying major cost drivers, delivering executive-ready reporting, and driving optimization initiatives without compromising business value. The ideal candidate has 8+ years of experience in FinOps or related fields, with expertise in cloud cost models, large-scale data analysis, and stakeholder management. Proficiency in tools like Power BI, Tableau, Python, SQL, and familiarity with AI-specific technologies such as tokens, embeddings, and RAG systems is preferred.

Skills

Azure AWS GCP Python Power BI Tableau Looker Databricks Snowflake BigQuery SQL CI/CD MLOps Kubernetes Terraform

What you'll do

  • Establish and operate the financial governance discipline for company-wide AI usage.
  • Define processes and metrics to manage costs while enabling AI adoption across platforms.
  • Own end-to-end visibility of AI usage across multi-cloud, SaaS, and on-premise environments.
  • Design show-back methodology with transparent allocation rules for shared AI platforms.
  • Manage budgeting, forecasting, and financial reporting for the Enterprise AI department.
  • Identify cost reduction opportunities without compromising business value or adoption efficiency.
  • Produce executive-ready reports on AI costs, usage trends, and optimization initiatives.

What we're looking for

  • 8+ years of experience in FinOps, cloud cost management, or technology finance.
  • Proven track record in managing budgets, forecasts, and financial reporting.
  • Strong understanding of multi-cloud (Azure, AWS, GCP) cost models.
  • Ability to analyze large-scale usage data and deliver actionable insights.
  • Experience building dashboards, KPIs, and recurring operating reviews.
  • Excellent executive communication skills for senior leadership engagement.
  • Capability to independently develop and implement financial governance mechanisms.

Related searches

More Lead jobs Lead jobs in San Diego All jobs at Qualcomm

More like this

Similar roles

AI Platforms Leader, Enterprise AI Platforms

Qualcomm

San Diego, CA 104 days ago $198,500–$297,700
AWS Azure GCP Kubernetes MLOps LLMOps CI/CD Terraform GitOps IaC Docker Prometheus Grafana MCP Slurm PyTorch CUDA cuDNN Triton_Inference_Server vLLM KServe Ray MLflow Vertex SageMaker Airflow Argo Weights_and_Biases LangSmith OIDC RBAC OPA AWS_Secrets_Manager Azure_Key_Vault FAISS Milvus Pinecone Feast
Save

Enterprise AI Platform Governance & Operations Lead

Lam Research

Fremont, CA 15 days ago $125,000–$270,000
Azure AI Foundry GitHub Copilot Langfuse Neo4j M365 AI capabilities Dash Enterprise MLOps LLMOps CI/CD Cloud Cost Management Identity and Access Management Data Protection Risk Management Compliance Auditability Model Lifecycle Management Usage Monitoring Agile Scrum
Hybrid
Save

AI Solutions Lead

Lam Research

Fremont, CA 12 days ago $141,000–$307,000
AI_Foundry Agent_Runtime_&_Orchestration Knowledge_Service Ontology CI/CD LangChain LangGraph MCP ML_DL_Frameworks Transformer_Architectures RAG_Pipelines Vector_Databases Azure Databricks PostgreSQL Python Java Kubernetes AWS
Hybrid
Save

Lead Principal Engineer, Enterprise Agentic AI Platform

Nvidia

Santa Clara, CA 122 days ago $272,000–$431,250
Python Go Kubernetes LangChain LangGraph Terraform CI/CD Prometheus Grafana PostgreSQL Redis OpenSearch Docker GitOps NVIDIA_GPU Vector_Databases APIs SDKs Telemetry Observability Security_Policies Sandbox_Isolation Audit_Trails
Save

Lead AI Engineer, Data Solutions

Salesforce

Remote (San Francisco, CA) +3 30 days ago $172,500–$260,100
Python ML models LLMs APIs Spark Airflow Dagster Snowflake BigQuery A/B testing CI/CD Prometheus Grafana Kubernetes AWS Terraform
Remote
Save

Lead AI Engineer

JLL (Jones Lang LaSalle)

Atlanta, GA +4 25 days ago $167,400–$205,100
Python LangChain LlamaIndex Transformers Azure OpenAI AWS Bedrock Google Cloud AI Kubernetes Docker FastAPI Flask Pinecone Weaviate ChromaDB MLOps Prometheus Postman SQL NoSQL Git JavaScript TypeScript
Save