Job Requisition ID #26WD100685Position OverviewAutodesk 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.Location: We are open to candidates in the UK Hybrid or RemoteResponsibilitiesBuild 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 & EntertainmentDevelop forecasts for AI adoption, usage, revenue influence, inference costs, margin implications, and long-term planningConstruct business cases and decision-ready analysis to guide investment, prioritization, monetization, pricing, packaging, and leadership reviewsModel and optimize cloud, GPU, and inference economics, including utilization, scaling behavior, cost efficiency, COGS, cost-to-serve dynamics, and margin implicationsTranslate product telemetry into insights supporting monetization, pricing, packaging, and cross-industry growth opportunitiesCreate executive- and Board-ready presentations, narratives, and slide materials that communicate strategic recommendations, investment plans, tradeoffs, and business priorities with clarity and impactContribute to building repeatable dashboards, reporting frameworks, and tools to enable data-driven execution across Product, Finance, and Engineering teamsOperate as a self-starter with the ability to work independently, take ownership, and drive work forward in an ambiguous environmentMinimum QualificationsMasters or Bachelor’s degree in a relevant field, such as Engineering, Data Science, Statistics, Computer Science, Economics, or equivalent experience5+ years of experience in business strategy, analytics, strategic finance, business operations, product strategy, product analytics, management consulting, or a similarly analytical roleExperience building financial, operating, or business models across adoption, usage, revenue, COGS, margin, and ROIStrong financial modeling and analytical skills; Excel required, with SQL or Python familiarity preferredExperience with cloud, GPU, and inference cost structures, or demonstrated ability to ramp quickly on AI infrastructure economicsAbility to create structured, executive-ready presentations and strategic narratives, including management consulting-style PowerPoint decksDemonstrated ability to navigate ambiguity, structure complex problems, and build frameworks from the ground upStrong communication skills with the ability to translate complex analysis into clear, actionable insightsSelf-starter with the ability to work independently, take initiative, and drive work forwardAbility to work effectively across multiple stakeholders and cross-functional teamsPreferred QualificationsBS or MS in Data Science or a related field, with 3–5 years of relevant experience depending on educational backgroundExperience with AI infrastructure, usage-based monetization models, model serving, inference costs, GPU economics, cloud economics, or compute cost optimizationExperience in SaaS economics, cloud cost analysis, or AI/ML-driven productsBackground in subscription analytics, pricing, packaging, or monetization strategyExperience with AI agents and API-driven business models#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: In-Person Onboarding and Identity VerificationThis role may require in-person onboarding and/or in-person ID verification.Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).SummaryLocation: London, GBR; United Kingdom - Remote; Cambridge, GBR; Birmingham, GBR; Sheffield, GBP; Newcastle upon Tyne, GBR; Newbury, GBRType: Full time