Zeeshan Khan

About Zeeshan Khan

I lead Commercial Operations Analytics at Pie Insurance, a fast-growing workers\' compensation insurtech, overseeing analytical strategy across Business Development, Marketing, Underwriting, Customer Service, Premium Audit, and Billing functions.My work spans four domains: revenue forecasting and GTM alignment, analytics engineering and BI modernization, operational transformation, and cross-functional leadership. I build forecasting models that drive annual operating plans, design the dashboards that eliminate manual diagnostics, and architect the incentive structures that align team behavior with business outcomes.In 2025, I took full ownership of Premium Audit analytics — a function with zero prior reporting infrastructure — and built a comprehensive analytics engine from Nexus data extraction through MS Access cohort modeling, Looker dashboards, and automated product integration. I also reworked audit ordering methodology end-to-end in SQL and R, established the company\'s first billing development pattern reporting, and delivered enterprise FTE calculators now used across six functions.Before Pie, I spent 11 years at The Travelers Companies, rising from Pricing Analyst to Director of Inside Sales & Operations, leading strategy across $3B in written premium and agencies.M.S. in Actuarial Science, Temple University (Fox) · B.S.E. Bioengineering, University of Pennsylvania Denver, CO · Open to connecting with insurance analytics, revenue operations, and commercial strategy leaders.

Experience

1. Sr Director, Commercial Strategy & Operations

   Pie Insurance

   Nov 2023 — Present · Denver, CO, US

   CROSS-FUNCTIONAL LEADERSHIP & STAKEHOLDER MANAGEMENTAnalytical authority across Marketing, BD, Finance, and Commercial Auto — embedding analytics into how teams plan and make decisionsTrained Finance on forecasting methodology, enabling them to stress-test scenarios and own the processPartnered with BD leadership on incentive redesign, shifting toward controllable inputs using data to reframe a sensitive conversationCultivated internal candidate for UW Operational Analyst; navigated HR and stakeholder alignment — role now delivers unified UW/RUW/UA queue visibilityENTERPRISE FORECASTING & REVENUE OPERATIONSOwn forecasting across New Business, Retention, Cancellations, Endorsements, Audit Premium, and Commercial Auto; outputs drive annual operating plansBuilt GTM decomposition isolating underwriting vs. auto-decisioning drivers to inform quota and capacity strategyDelivered FTE calculators across BD, CS, UW, Claims, and Audit incorporating volume timing, SLAs, and review cyclesANALYTICS ENGINEERING & BUSINESS INTELLIGENCETransformed Premium Audit from zero-reporting into scalable analytics engine (Nexus → cohort modeling → Looker → automated product integration)Designed three audit ordering methodologies balancing legal compliance, throughput, and cost optimizationLaunched KPI dashboards for new business, retention, and plan comparison; established monthly cadence with senior leadershipEstablished billing development analytics to quantify bad debt and collection trendsOPERATIONAL TRANSFORMATION & PERFORMANCE IMPROVEMENTBuilt vendor vs. in-house audit economic model by state; extended into FTE calculator accounting for volume, timing, and review cyclesDelivered self-service dashboards enabling BD to independently diagnose performance without analyst interventionModeled underwriting throughput impact on balance sheet, SLA requirements, and staffing needs

Education

• International School of Choueifat

  Highschool

  2004

• University of Pennsylvania

  B.S.E., Bioengineering

  2004 — 2008

• Temple University

  Master of Science (M.Sc.), Actuarial Science (P, FM and MLC)

  2011 — 2012

Skills

• Risk Management
• Statistical Modeling
• Financial Modeling
• Underwriting
• Insurance
• Property & Casualty Insurance
• Data Analysis
• Employee Benefits
• Access
• Valuation
• Vba
• Analytics
• Powerpoint
• Microsoft Excel
• Analysis
• Microsoft Office
• Actuarial Science
• Research
• Economics
• Financial Analysis
• Statistics