Senior Manager, GTM Data Science

🔥 16 hours ago

🌐 Canada, United States – Remote

🇨🇦 Canada – Remote 🇺🇸 United States – Remote

💵 $158k - $231k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

🏗️ Construction

🏭 Manufacturing

💼 Consulting

Construction • Manufacturing • Consulting

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• Shape the multi-quarter Data Science roadmap for customer engagement use cases • Partner with senior leaders across Sales, Marketing, and Customer Success to prioritize high-value decisions • Translate strategic questions into decision frameworks, analytical problem statements, intervention strategies, success metrics, and business cases • Advise executives and cross-functional leaders, challenge assumptions, make recommendations, and communicate tradeoffs • Define success measures and ensure adoption and realized business outcomes • Own and manage a portfolio of Decision Intelligence initiatives across retention, churn, growth, upsell, cross-sell, segmentation, propensity, lead prioritization, compliance, attribution, benchmarking, simulations, and next-best action • Lead initiatives from problem formulation and data readiness through modeling, validation, deployment, workflow integration, experimentation, impact measurement, and monitoring • Partner with program management, analytics engineering, data engineering, product managers, and federated analytics teams • Establish operating rhythms and quality standards, including roadmap reviews, technical reviews, launch readiness, outcome reviews, and risk escalation • Provide technical leadership across prediction, experimentation, causal inference, optimization, ranking, simulation, and related methods • Guide statistical modeling, machine learning, experimentation, causal methods, propensity and uplift modeling, scoring, and prioritization • Maintain standards for data quality, leakage prevention, model evaluation, calibration, reproducibility, explainability, fairness, drift monitoring, and performance • Ensure machine learning products connect insights to actions and measurable incremental impact • Stay current on advances in machine learning, AI, experimentation, causal inference, and decision intelligence • Lead, recruit, retain, and develop a high-performing data science team • Coach senior individual contributors and emerging leaders • Conduct performance and talent reviews, provide feedback, identify development opportunities, and build succession and hiring plans • Create an inclusive team environment focused on technical rigor, learning, collaboration, and accountability • Build reusable methods, decision frameworks, operating practices, and partnerships across the EDA organization

🎯 Requirements

• 8+ years of experience in data science, machine learning, advanced analytics, or a related quantitative field, including significant hands-on applied experience • 3+ years of experience managing data science, machine learning, or advanced analytics teams • 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 • 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 • Ability to identify the right business problems to solve and translate business objectives into decision, measurement, and analytical frameworks • Experience influencing senior stakeholders with data and analysis and leading cross-functional initiatives • Excellent written and verbal communication skills • Strong judgment, ownership, and execution • Preferred: Experience with B2B SaaS, subscription, customer lifecycle, or commercial analytics • Preferred: Experience building or scaling decision intelligence, next-best-action, propensity, prioritization, experimentation, or other analytical products • Preferred: Experience with production machine learning and model operational lifecycle • Preferred: Experience managing a portfolio of analytical products • Preferred: Experience developing senior technical talent and organizational capability

🏖️ Benefits

• Annual cash bonuses • Stock grants • Comprehensive benefits package • In-person onboarding and/or in-person ID verification may be required