Senior Manager of GTM Data Science

Join Autodesk as a Senior Manager of GTM Data Science. In this role, you will lead a diverse team of data scientists and own the portfolio, execution, adoption, and measurable business impact of data science initiatives across customer intelligence domains. You will partner with senior leaders across Sales, Marketing, and Customer Success to identify and prioritize decisions where data science can create the greatest customer and business value. You will also define success measures, manage a portfolio of Decision Intelligence initiatives, and provide technical leadership. This role requires deep technical credibility, strong people leadership, operating discipline, and the ability to influence senior business and data leaders.

• Lead a diverse team of data scientists and own the portfolio, execution, adoption, and measurable business impact of data science initiatives across customer intelligence domains.
• Shape the multi-quarter Data Science roadmap for customer engagement use cases, aligned with GDI priorities and Autodesk business objectives.
• Partner with senior leaders across Sales, Marketing, and Customer Success to identify and prioritize the decisions where data science can create the greatest customer and business value.

• This role requires deep technical credibility, strong people leadership, operating discipline, and the ability to influence senior business and data leaders
• Demonstrated ability to identify the right business problems to solve and translate business objectives into decision, measurement, and analytical frameworks
• Excellent written and verbal communication skills, with the ability to explain complex concepts, recommendations, risks, and tradeoffs to audiences ranging from technical practitioners to executives
• Demonstrated experience taking analytical or machine learning products from an ambiguous business problem through development, deployment, adoption, and measurable impact
• Strong knowledge of statistical modeling, machine learning, experimentation, causal inference, and model evaluation techniques
• Experience influencing senior stakeholders with data and analysis and leading cross-functional initiatives that depend on contributions from multiple disciplines
• 3+ years of experience managing data science, machine learning, or advanced analytics teams
• 8+ years of experience in data science, machine learning, advanced analytics, or a related quantitative field, including significant hands-on applied experience
• Advanced degree in a quantitative discipline such as statistics, mathematics, economics, computer science, engineering, or a related field, or equivalent practical experience
• Strong technical fluency in Python or R and SQL, with the ability to engage in detailed technical design and model-review discussions
• Strong judgment, ownership, and execution: you proactively identify gaps, resolve ambiguity, make clear recommendations, and remain accountable for outcomes across organizational boundaries
• Experience with B2B SaaS, subscription, customer lifecycle, or commercial analytics supporting Sales, Marketing, and/or Customer Success
• Experience building or scaling decision intelligence, next-best-action, propensity, prioritization, experimentation, or other analytical products embedded in operational workflows
• Experience with production machine learning and the operational lifecycle of models, including monitoring, retraining, and collaboration with engineering or MLOps teams
• Experience managing a portfolio of analytical products and making prioritization decisions based on expected customer or business value
• Experience developing senior technical talent, organizational capability, and operating mechanisms in a growing data science organization