Data Science AI Strategy, Autodesk

• Masters or Bachelor’s degree in a relevant field, such as Engineering, Data Science, Statistics, Computer Science, Economics, or equivalent experience
• 5+ years of experience in business strategy, analytics, strategic finance, business operations, product strategy, product analytics, management consulting, or a similarly analytical role
• Experience building financial, operating, or business models across adoption, usage, revenue, COGS, margin, and ROI
• Strong financial modeling and analytical skills; Excel required, with SQL or Python familiarity preferred
• Experience with cloud, GPU, and inference cost structures, or demonstrated ability to ramp quickly on AI infrastructure economics
• Ability to create structured, executive-ready presentations and strategic narratives, including management consulting-style PowerPoint decks
• Demonstrated ability to navigate ambiguity, structure complex problems, and build frameworks from the ground up
• Strong communication skills with the ability to translate complex analysis into clear, actionable insights
• Self-starter with the ability to work independently, take initiative, and drive work forward
• Ability to work effectively across multiple stakeholders and cross-functional teams

Desirable

• 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 cost economics, to inform business decisions
• This role requires fluency, or the ability to ramp quickly, in cloud, GPU, and inference cost dynamics as they relate to AI product economics, COGS, scaling, and margin
• Your work will clarify how foundation 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
• 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, inference costs, margin implications, and long-term planning
• Construct business cases and decision-ready analysis to guide investment, prioritization, monetization, pricing, packaging, and leadership reviews
• Model and optimize cloud, GPU, and inference economics, including utilization, scaling behavior, cost efficiency, COGS, cost-to-serve dynamics, and margin implications
• Translate product telemetry into insights supporting monetization, pricing, packaging, and cross-industry growth opportunities
• Create executive- and Board-ready presentations, narratives, and slide materials that communicate strategic recommendations, investment plans, tradeoffs, 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
• Operate as a self-starter with the ability to work independently, take ownership, and drive work forward in an ambiguous environment