Vice President, Enterprise AI & Analytics

Autodesk Autodesk · Enterprise · San Francisco, CA +1

Autodesk is seeking a Vice President of Enterprise AI and Analytics to lead the company's enterprise AI and data strategy. This role will own the AIDA domain, architecting how Autodesk builds, governs, and compounds intelligence at enterprise scale. Key responsibilities include defining the enterprise intelligence architecture (data foundations, agent infrastructure, governance), establishing the enterprise data strategy, leading the AI portfolio delivery, and ensuring responsible AI and governance in compliance with global regulations. The role requires extensive experience in enterprise AI/data platforms, a proven track record of shipping AI programs, and deep fluency in data engineering and agentic AI systems.

What you'd actually do

  1. Define and own Autodesk's enterprise intelligence architecture — the data foundations, agent infrastructure, and governance layer that sit above existing enterprise systems and connect them into a unified, reasoning whole
  2. Lead and accelerate the enterprise AI portfolio — moving active initiatives from pipeline through production with urgency and rigor, in close partnership with the business functions being served
  3. Establish the working model for the full agent lifecycle — design, build, test, deploy, and maintain — creating the repeatable engineering discipline that makes agentic AI safe, scalable, and continuously improvable
  4. Partner with Autodesk's Trust organization to adopt, adapt, and extend the enterprise AI governance framework — applying existing standards for model risk, bias evaluation, privacy-by-design, and ethical AI to AIDA's programs and accelerating their maturation
  5. Ensure AI initiatives operate in compliance with the evolving global regulatory landscape — EU AI Act, GDPR, CCPA, and emerging obligations — working in close coordination with Legal and Trust teams

Skills

Required

  • 15+ years in technology leadership, with a material portion spent owning enterprise AI, data platforms, or intelligent automation at scale
  • Proven track record of shipping AI programs beyond pilots
  • Deep, hands-on fluency in modern data engineering and data architecture (data modeling, pipeline design, open table formats, cloud-native data infrastructure, semantic and ontology layers, real-time and batch processing)
  • Ability to extend data foundations into agentic AI systems (LLM orchestration, RAG architectures, LLMOps, multi-agent design patterns)
  • Experience with enterprise AI vendor strategy

Nice to have

  • Experience with EU AI Act, GDPR, CCPA

What the JD emphasized

  • own its intelligence
  • institutional knowledge migrating into vendor systems
  • keeping Autodesk's AI on Autodesk's terms
  • data foundations the company controls
  • governed by standards the company sets
  • compounding in value inside Autodesk's walls
  • AI programs that have moved well beyond pilots — shipped, in production, and delivering measurable business outcomes
  • data engineer at their core who has evolved into AI

Other signals

  • Define and own Autodesk's enterprise intelligence architecture — the data foundations, agent infrastructure, and governance layer that sit above existing enterprise systems and connect them into a unified, reasoning whole
  • Lead and accelerate the enterprise AI portfolio — moving active initiatives from pipeline through production with urgency and rigor, in close partnership with the business functions being served
  • Establish the working model for the full agent lifecycle — design, build, test, deploy, and maintain — creating the repeatable engineering discipline that makes agentic AI safe, scalable, and continuously improvable
  • Partner with Autodesk's Trust organization to adopt, adapt, and extend the enterprise AI governance framework — applying existing standards for model risk, bias evaluation, privacy-by-design, and ethical AI to AIDA's programs and accelerating their maturation
  • Ensure AI initiatives operate in compliance with the evolving global regulatory landscape — EU AI Act, GDPR, CCPA, and emerging obligations — working in close coordination with Legal and Trust teams