Senior Data Strategist, GTM Customer Data

Autodesk•Toronto, ON

About The Position

At Autodesk, data is the backbone of how we understand and engage our customers. As a Data Strategist on the Data Governance and Policy team within Go-to-Market Data & Intelligence, you will act as the owner of our customer data, defining the roadmap, prioritizing problems, and ensuring our data is trustworthy, accurate, and able to support a wide range of business use cases. You will translate pain points and requirements across Sales, Marketing, Customer Success, Finance, and Product into a coherent data strategy. Through structured problem solving, clear prioritization, and close collaboration with Data Analysts, you will drive improvements that enhance the quality, clarity, and flexibility of Autodesk’s customer data. This role is ideal for someone who thrives at the intersection of data, product thinking, and cross-functional alignment, and who wants to shape how Autodesk understands and engages its customers.

Requirements

5+ years working in a data strategist or data product manager role
Experience with go-to-market data and systems, including account hierarchies
Knowledge of data governance frameworks
Proficiency in SQL and using data visualization tools like PowerBI

Nice To Haves

Strategic decision-maker. You excel at breaking down ambiguous problems, evaluating trade-offs, and determining the highest-impact priorities
Strong product mindset. You think in terms of customer needs, use cases, requirements, and iteration cycles, not one-off tasks
Exceptional communicator and facilitator. You bring diverse stakeholders together, establish shared understanding, and influence decisions through clarity and storytelling
Outcome-oriented. You define success metrics, measure impact, and continuously refine the roadmap

Responsibilities

Own and evolve the customer data governance roadmap for assigned area, aligning to Autodesk’s GTM strategy and operational needs
Identify and prioritize customer data problems, incorporating qualitative insights from stakeholders, and quantitative analysis
Translate business use cases into clear data requirements, ensuring customer data is structured to support multiple workflows without conflict
Partner closely with Data Engineering and Architecture to evaluate solution options
Define and maintain data policies, standards, and definitions that promote clarity and reduce ambiguity across systems
Facilitate alignment across Sales, Marketing, Customer Success and Finance, and establish feedback loops to ensure decisions reflect cross-functional needs
Develop business cases for data improvements, including impact sizing, risk assessment, and expected outcomes
Define and monitor key success metrics for data clarity, quality, flexibility, and usability