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Business Strategist, AI Foundation Models

Vancouver, British Columbia, Canada💼 Full-time🗓 2026-06-07 → 2026-07-20

Core

Develops analytical and financial models to guide AI investment, monetization, cost modeling, and strategic planning for Autodesk's Foundation Models team.

Role type

Senior business strategist (AI economics & adoption)

Builds

AI investment portfolios, cost models, adoption forecasts, and executive decision frameworks

Domain

AI infrastructure economics, SaaS monetization, cloud strategy

Deliverable

dashboards & analysis

Required skills

financial modeling, usage analytics, cost analysis, strategic forecasting, executive presentation design, framework development

Preferred skills

SQL, Python, cloud strategy expertise

Technologies

Excel, SQL, Python

Responsibilities

Build financial models quantifying AI business impact; Develop forecasts for AI adoption and revenue; Construct business cases for investment prioritization; Model inference cost economics (COGS) and GPU utilization; Translate product telemetry into monetization insights; Create executive-ready strategic presentations; Build repeatable reporting frameworks for cross-functional teams

Seniority

Senior, hands-on IC

Full job description

Autodesk is building the next generation of AI capabilities that will transform how customers design and make. The Foundation Models team develops AI technologies that operate across Autodesk’s platform and business units. This role provides the analytical foundation needed to guide adoption, monetization, cost modeling, and strategic planning for these AI investments. You will apply structured problem-solving, financial modeling, usage analytics, and cost analysis, including inference COGS and GPU economics, to inform business decisions. Your work will clarify how foundational models scale, how they affect Autodesk’s economics, and how the company should prioritize investment and deployment across multiple product areas. The successful candidate will operate at the center of Autodesk’s AI transformation, shaping business strategy and analytics that inform AI development, technology roadmaps, and long-term priorities. They will develop structured strategic frameworks, adoption and impact forecasts, and decision-support insights that guide Autodesk’s AI portfolio and enable leadership alignment across industry groups and executive forums.

Location

We are open to candidates in Portland, Oregon, Canada and the United Kingdom

Responsibilities

  • Build analytical and financial models that quantify the business impact of AI capabilities across Autodesk’s platform and industry groups, including Architecture, Engineering & Construction, Product Design & Manufacturing, and Media & Entertainment
  • Develop forecasts for AI adoption, usage, revenue influence, and long-term planning
  • Construct business cases and decision-ready analysis to guide investment, prioritization, and leadership reviews
  • Model and optimize inference cost economics (COGS), including GPU utilization, cloud strategy, and scaling drivers
  • Translate product telemetry into insights supporting monetization, pricing, and cross-industry growth opportunities
  • Create executive- and Board-ready presentations, narratives, and slide materials that communicate strategic recommendations, investment plans, and business priorities with clarity and impact
  • Contribute to building repeatable dashboards, reporting frameworks, and tools to enable data-driven execution across Product, Finance, and Engineering teams

Minimum Qualifications

  • Bachelor’s degree in a relevant field (e.g., Engineering, Data Science, Statistics, Computer Science, Economics) or equivalent experience
  • 5+ years in business strategy, analytics, management consulting, or a similarly analytical role
  • Strong financial modeling and analytical skills (Excel required; SQL/Python familiarity preferred)
  • Ability to create structured, executive-ready presentations and strategic narratives (Management consulting-style PPT decks)
  • Demonstrated ability to operate in ambiguous environments and build frameworks from scratch
  • Strong communication skills
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