Revenue and Cost Strategy Leadership Role Last Mile Logistics (3PL)
Description:
Role Overview
This role owns the unit economics and profitability levers of Dispatch's last-mile delivery network. You'll sit at the intersection of Revenue, Cost, and Operationsensuring that every delivery generates sustainable margins while scaling volumes. You'll analyze complex, multi-client revenue structures and design corresponding cost models that ensure profitability at scale.
This is not a finance analyst role. You are a business operator and strategist who connects data to real operational decisions designing rider compensation systems, optimizing deployment strategies, and ensuring that growth doesn't come at the cost of profitability.
What You'll Own:
Revenue & Cost Architecture
- Model revenue structures from diverse clients (per-km, per-order, base+incremental, tiered across segments like Food, QC, e-commerce, pharma)
- Map revenue-to-cost dynamics: Understand how different client contract types impact rider utilization, density, and profitability
- Build cohort-based P&L models by city, time-window, and customer segment to identify which business units drive margin
- Set RPO (Revenue Per Order) and CPO (Cost Per Order) targets and cascade them into operational KPIs
Rider Economics & Incentive Design
- Design and A/B test rider payout structures including base pay, per-delivery fees, surge multipliers, and time-based bonuses
- Model rider retention and supply elasticity: Understand how pay changes impact rider availability, churn, and orders per rider per day
- Create daily, weekly, and monthly incentive programs that balance profitability with supply adequacy
- Build joining bonus and referral structures that scale rider supply cost-efficiently
- Run experiments to validate strategies
Demand Forecasting & Supply Planning
- Forecast hourly order volumes by geography, time-of-week (weekdays vs. weekends), season (holidays, festivals), and special demand events
- Model average orders per rider per hour (OPH) based on historical performance, route density, and peak/off-peak dynamics
- Calculate required rider supply (headcount & active hours) across 24-hour cycles to meet SLAs without over-compensation
- Design heat-map deployment strategies to position rider supply in high-demand zones, reducing idle time and improving order acceptance rates
- Plan for spikes: Model rider requirements for festivals, weekends, late nights, and rain surges