Who you are

- 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 explicit, 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

- BS or MS in Data Science or a related field, with 3–5 years of relevant experience depending on educational background

- Experience with AI infrastructure, usage-based monetization models, model serving, inference costs, GPU economics, cloud economics, or compute cost optimization

- Experience in SaaS economics, cloud cost analysis, or AI/ML-driven products

- Background in subscription analytics,



pricing, packaging, or monetization strategy

- Experience with AI agents and API-driven business models

What the job involves

- 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

📌 Data Science AI Strategy (London)
🏢 Autodesk
📍 London