Where I've delivered.

San Francisco, CA

• ▹Lead program manager for $3.2M+ in annual enterprise platform delivery, owning scope, requirements, and go-live across four $800K+ releases a year spanning business, engineering, and QA organizations for a large state health and human services agency.
• ▹Built a production multi-agent AI system with personalized memory, scheduled research tasks, and MCP integrations across AlphaSense, Factiva, and Exa.ai that synthesizes deep research in minutes; now the primary insights infrastructure for a large internal team and scaling to a second platform.
• ▹Advise senior stakeholders on AI adoption strategy and roadmap, identifying automation opportunities and sequencing a phased rollout across a highly regulated state government agency and a 40+ person organization.
• ▹Facilitated a discovery workshop documenting 20+ business objectives and mapping end-to-end process pain points across 20+ stakeholder sessions per release cycle; findings shaped the next release and expanded project scope.
• ▹Secured new government contracts and retained existing clients by leading competitive RFP proposal writing across public-sector programs, authoring technical narratives and key-staff sections that drove contract wins and expanded Deloitte's public-sector portfolio.

Sacramento, CA

• ▹Cut redundant consumer outreach 20% with zero recurrence over six months by diagnosing the operational failure across millions of records in SQL, defining the root cause, and leading a team of four engineers through design, UAT, and go-live.
• ▹Scaled delivery capacity 8×, from 5 to 40+ engineers, by designing repeatable intake frameworks, sprint cadences, and documentation standards that absorbed headcount growth without a drop in velocity.
• ▹Gave leadership real-time visibility into $3.2M+ in annual delivery through five executive-facing KPI dashboards and risk trackers built in Power BI, accelerating prioritization across concurrent programs.

San Francisco, CA

• ▹Drove a 30% increase in route-optimization tool usage by diagnosing feature-adoption gaps in Python and translating findings into product roadmap decisions.
• ▹Quantified $71 in average gas savings per user (~20% reduction) across 200,000+ user records in PostgreSQL; the analysis became the foundation for go-to-market positioning and customer value messaging.
• ▹Recommended a 5% pricing adjustment through competitive tier analysis in R, modeling customer behavior to close a retention gap and support revenue growth.