Principal, Revenue Strategy & Analytics

Principal, Revenue Strategy & Analytics

We are seeking a Principal, Revenue Strategy & Analytics to lead the analytics foundation supporting enterprise revenue strategy and execution across Autodesk's global go-to-market organization.

This role combines deep expertise in revenue analytics, business intelligence, data modeling, AI-enabled analytics, and strategic business partnership. You will own the GTM analytics framework, KPI governance, reporting standards, and analytical methodologies that enable trusted decision-making across Sales, Marketing, Renewals, Customer Success, Finance, and executive leadership.

You will also help shape the GTM Strategy AI roadmap and serve as a technical and analytical leader for the Revenue Strategy & Operations team, translating complex business questions into scalable analytical solutions and actionable insights.

Responsibilities

• Own the GTM Revenue Analytics framework, including semantic data models, KPI definitions, reporting standards, and analytical methodologies across the customer lifecycle
• Define scalable measurement frameworks for pipeline, bookings, revenue, renewals, expansion, customer health, GTM Plays, and overall GTM effectiveness
• Partner with Data Engineering, Business Systems, Finance, and Analytics teams to define requirements, prioritize data enhancements, and ensure trusted, analytics-ready data
• Lead analytics initiatives from business requirements and data exploration through modeling, dashboard development, insight generation, and executive delivery
• Serve as a strategic analytics advisor to GTM leaders, analyzing revenue performance and translating complex data into actionable insights, recommendations, and decision frameworks
• Develop executive-ready insights for pipeline and forecast reviews, business reviews, strategy discussions, and GTM planning
• Define and advance the GTM Strategy AI roadmap, identifying and prioritizing AI-enabled use cases that improve revenue performance, customer insights, and operating productivity
• Ensure analytics and AI solutions are scalable, governed, secure, and built on trusted data, business logic, and responsible-AI practices
• Serve as the technical and analytical leader for the Revenue Strategy & Operations team, establishing quality standards and coaching and mentoring team members
• Lead complex cross-functional initiatives and influence priorities across business, systems, and data teams without formal authority

Minimum Qualifications

• 8+ years of experience in Revenue Operations, GTM Strategy, Business Intelligence, Analytics, SaaS Strategy, Management Consulting, or a related analytical discipline
• Demonstrate experience building enterprise KPI frameworks, semantic data models, reporting standards, and data-governance practices
• Expert proficiency in Power BI, including data modeling, DAX, dashboard design, and performance optimization
• Strong SQL skills and working knowledge of modern data platforms and warehouse concepts such as Snowflake, Databricks, or Microsoft Fabric
• Strong knowledge of Salesforce data and reporting, with an understanding of B2B sales, pipeline, forecasting, renewals, and customer lifecycle processes
• Demonstrate ability to translate complex data and business questions into clear insights, recommendations, and executive-level narratives
• Strong cross-functional leadership and stakeholder management skills, with the ability to influence in a fast-paced, matrixed environment
• Experience applying AI, automation, or advanced analytics to solve business problems and improve decision-making

Preferred Qualifications

• Experience in SaaS, subscription, or recurring-revenue business models
• Experience building governed analytics products that support both BI and AI use cases
• Familiarity with enterprise AI platforms and capabilities such as Microsoft Copilot, Azure AI, OpenAI, Snowflake Cortex, Databricks, or similar technologies
• Experience with predictive analytics, machine learning, retrieval-augmented generation, or agentic workflows in a business environment
• Knowledge of responsible-AI principles, model governance, data privacy, and security
• Experience mentoring analysts and leading complex cross-functional analytical programs
• Establish a trusted and scalable GTM analytics foundation that improves how Autodesk measures performance and makes revenue decisions