Data Science AI Strategy, UK
RemoteLondon, England, United Kingdom or United Kingdom
Job Summary
Build analytical and financial models to quantify the business impact of AI capabilities across Autodesk's platform and industry groups. Develop forecasts for AI adoption, usage, revenue influence, inference costs, and margin implications to guide investment, prioritization, and monetization strategies. Translate product telemetry into insights supporting pricing, packaging, and cross-industry growth opportunities while creating executive-ready presentations and dashboards for leadership reviews. Model cloud, GPU, and inference economics to optimize cost efficiency and inform long-term planning. Operate as a self-starter to drive data-driven execution across Product, Finance, and Engineering teams.
Required Qualifications
- 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
- 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
- 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
- Ability to work independently, take ownership, and drive work forward in an ambiguous environment
Desired Qualifications
- SQL or Python familiarity
- Experience with cloud, GPU, and inference cost structures, or demonstrated ability to ramp quickly on AI infrastructure economics
- 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
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