Own revenue analytics and AI governance to standardize metrics, ensure trustworthy outputs, and expand self-serve analytics across teams.

• Lead the team that owns how reporting, analytics, and insights are delivered for the Revenue organization to function effectively.
• Decide where AI and automation fit into our analytics and reporting, and where human judgement is required.
• Set the quality and accuracy bar for AI-generated analysis, and put review processes in place so leaders can rely on it.
• Build the data and metric standards the Revenue organization reports against, so Sales, Marketing, and Customer Success work from the same definitions and context.
• Own the governance model that keeps those definitions consistent as the business and data sources change.
• Decide which metrics the business runs on (pipeline coverage, conversion, win rate, ACV, sales cycle, productivity, retention, expansion, ROI, etc.) and make sure they are built and maintained correctly.
• Set direction for the go-to-market data model and the analytics built on top of it, and review the work the team and its tools produce.
• Act as the analytics expert for critical internal- and external-facing discussions.
• Expand self-serve analytics across the Revenue organization so people can get access to the answers without assistance.
• Hire, develop, and grow the managers and senior individual contributors on the team.