Senior Manager, GTM Data Science

Autodesk
Toronto, San Francisco, Denver
Full timeUSD 158,000 - 231,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: mastersSkills: ["Leadership","Communication","Judgment","Ownership","Cross-functional collaboration"]

Lead Autodesk’s Go-to-Market Data & Intelligence (GDI) Data Science team to build and deliver machine learning products that improve customer engagement decisions. Own the multi-quarter roadmap and portfolio across retention, growth, segmentation, propensity/lead prioritization, and decision intelligence use cases. Translate ambiguous business goals into decision frameworks and measurable success metrics, drive end-to-end delivery from data readiness through deployment and experimentation, and ensure adoption and business impact.

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FursaFursa
Autodesk
Autodesk
1 hour ago

Senior Manager, GTM Data Science

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Job Summary

Lead Autodesk’s Go-to-Market Data & Intelligence (GDI) Data Science team to build and deliver machine learning products that improve customer engagement decisions. Own the multi-quarter roadmap and portfolio across retention, growth, segmentation, propensity/lead prioritization, and decision intelligence use cases. Translate ambiguous business goals into decision frameworks and measurable success metrics, drive end-to-end delivery from data readiness through deployment and experimentation, and ensure adoption and business impact.
Location: Toronto, San Francisco, Denver
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Shape the multi-quarter data science roadmap for customer engagement use cases aligned to GDI priorities and business objectives
  • •Lead decision intelligence initiatives across retention/churn, growth potential, upsell/cross-sell, segmentation, propensity and lead prioritization, and next-best action
  • •Drive end-to-end lifecycle from problem formulation and data readiness through modeling, validation, deployment, workflow integration, experimentation, impact measurement, and post-launch monitoring
  • •Define success measures before development begins and hold teams/partners accountable for adoption and realized outcomes across key business metrics
  • •Provide technical and people leadership: set quality standards and operating rhythms, guide modeling/analysis approaches, and recruit, develop, and retain a high-performing data science team

Pay and Benefits

Salary: USD 158,000 - 231,000 annually
Equity and Bonus:Equity

Key Requirements

  • •8+ years of experience in data science, machine learning, advanced analytics, or a related quantitative field with significant hands-on applied experience
  • •3+ years of experience managing data science, machine learning, or advanced analytics teams
  • •Advanced degree in a quantitative discipline (or equivalent practical experience)
  • •Strong technical fluency in Python or R and SQL, with experience reviewing analytical/model designs
  • •Demonstrated expertise across statistical modeling, machine learning, experimentation, causal inference, and model evaluation techniques
Experience:8+ yearsMachine learningData scienceAdvanced analyticsDecision intelligenceB2B SaaSCustomer lifecycle
Education:Master's
Skills:LeadershipCommunicationJudgmentOwnershipCross-functional collaboration
Tech Stack:PythonRSQLMachine learningCausal inference

Company Brief

Autodesk
Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Rafael, United States
Founded: 1982
Glassdoor
Glassdoor: 3.9
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