Led Revenue Operations for a PE-backed SaaS platform, managing a two-person team across Sales and Marketing Operations and serving as the analytics function for the CRO, incoming CEO, and PE sponsor.

Built an independent forecast model run alongside AE-reported pipeline, exposing $276K–$333K in unsupported risk before it reached the board and intercepting an $828K error in a CEO-bound deck within the hour.

Built stakeholder-coverage and deal-scoring analytics that became the statistical foundation for new pipeline-qualification standards, isolating $4.33M in stalled pipeline and tracing 78% of losses to buying-committee disengagement.

Redesigned the commercial territory model by mapping 17,800+ target accounts across 10 platforms and two revenue bands onto addressable-market data; CRO approved.

Built the outbound account universe in Clay: sourced net-new accounts from ICP criteria, layered market-signal and Demandbase intent enrichment, tuned waterfall sources for quality per credit, suppressed against customers and open pipeline, and delivered to Salesforce for AE and demand-gen use.

Built deal-level channel attribution from Opportunity History stage reconstruction, producing event-ROI findings that redirected trade-show investment.

Owned CPQ, deal desk, and revenue infrastructure; rebuilt pricing and approval architecture in DealHub, removing a default-pricing defect that was materially inflating reported pipeline value.

Configured and shipped AI into the GTM motion: Gong AI Theme Spotters and competitive trackers feeding recurring intelligence briefs, plus a Claude research and collateral workflow adopted by 13+ CS and Sales Support users, scaling research capacity without added headcount.