Built a Python/SQL framework on Redshift that took ad-hoc data delivery from hours to under five minutes, and automated an executive monthly-business-review suite across 6 partner orgs, retiring 20+ hours a month of manual prep and the 4+ hours of narrative writing each org used to need. Wrote the pipeline segmentation underneath it: seven-tier classification, hygiene scoring, period-over-period waterfall attribution. Encoded quota, territory and comp policy into AI-augmented workflows (Claude Code agent orchestration, MCP).
On the operations side, aligned territory assignments across the field: 95 corrections to 100% accuracy with no regressions on verification, plus a 246-change in-year escalation covering a full restructure. Traced a 62% mid-year quota jump to a silent territory dissolution in another org, and reverse-engineered 99 active shadow accounts into the operating playbook the team uses now.
Designed and built the internal incentive pages and the Sales Incentives Payout Estimator, one interface where the sales field projects its own earnings, plus the QuickSight reporting framework behind it. Ran the MBO incentive program end-to-end for the same population, design through comms, goals and attainment, on my own. Drove Amazon Advertising's annual Sales Incentive Plan Design review across Sales, Finance, HR and Corporate Comp, and designed variable-comp plans for account managers, enterprise and vertical AEs, field sales and ad-tech partner managers.