Instrument the Analytics End to End: Build measurement across the full journey: outbound and LinkedIn engagement by target account, conversion, marketing spend elasticity, call-recording intelligence, CS engagement, and product usage, all keyed to the same canonical accounts. Automate Revenue Operations Work: Replace manual pipeline hygiene, list reconciliation, and reporting with systems. The goal is not to staff these tasks but to eliminate them.

Partner closely with the Data team to design and deploy predictive models (e.g. account propensity) as well as traditional business intelligence reporting. Analyze the health of the sales pipeline and marketing funnel to identify leading indicators of growth and pinpoint potential bottlenecks in the customer journey.

Automate recurring analytical workflows — distribution checks, connect rate diagnostics, closed-loss tagging, resting period analysis — so they run without manual intervention. Use AI tools (Claude, Gong transcript analysis, NLP pipelines) to extract signal from sales interactions at scale and surface actionable insights to Sales leadership.