Logistics Optimization Manager

Role Overview

BI, Data Visualization & AI Automations

• Design, build, and maintain scalable dashboards and automated reporting pipelines for fleet performance, delivery speed, order stacking, cost per delivery, and rider utilization.
• Own the end-to-end data lifecycle from raw data extraction (SQL, BigQuery) through business-ready visualizations (Tableau, Looker, Data Studio).
• Automate recurring logistics reports to reduce manual data pulling.
• Develop predictive models and forecasting tools for demand planning, supply crunch detection, and staffing efficiency.
• Translate complex, large-scale datasets into actionable recommendations for logistics and operations stakeholders.

Logistics Optimization and Utilization

• Reduce delivery time across all stages by identifying bottlenecks across DT sub-metrics.
• Collaborate with dispatching and algorithm teams to enhance order assignment logic and improve on-time delivery rates.
• Monitor and improve order stacking efficiency without compromising delivery SLAs.
• Track NPS and customer experience metrics tied to logistics performance.
• Own analysis of logistics failures across vendor operations, rider operations, and customer touchpoints.
• Collaborate with workforce planning to optimize shift models and staffing levels.
• Support rider hiring, onboarding, and payment process analysis to reduce attrition.

Product Operations – Local & Global Rollouts

• Act as logistics liaison between local business stakeholders, local operations teams, and global product teams.
• Gather operational pain points and feature requests and translate them into structured business cases.
• Lead go-to-market execution for new logistics initiatives including timelines, stakeholders, training materials, and deployment playbooks.
• Support rollout and adoption of tools with post-launch performance tracking.
• Track rollout KPIs, adoption rates, and feedback loops and present findings to leadership.

Logistics Issue Resolution & Stakeholder Support

• Serve as first escalation point for logistics issues, diagnosing root causes and communicating resolution timelines.
• Manage performance during high-demand periods including holidays, national days, and weekends.
• Coordinate with central/regional logistics and product teams to implement platform-wide improvements locally.
• Minimize wastage per order through operational audits and efficiency initiatives.
• Provide training, change management support, and communications for stakeholder transitions.

Knowledge and Experience

• 5-8 years of experience in logistics analytics, operations, product operations, or a related field, preferably in food delivery, quick commerce, or a high-growth tech platform.
• Proven track record in at least two of: BI/analytics delivery, logistics optimization, and product rollout execution.
• Experience in multi-market or global organizations with cross-functional, matrixed team structures.
• Exposure to rider/fleet operations, last-mile delivery dynamics, and demand-supply management is strongly preferred.
• Exposure to A/B testing frameworks and statistical significance analysis in an operational context.
• Advanced SQL proficiency, able to write complex queries from scratch.
• Strong experience with Tableau, Looker, Google Data Studio, or equivalent.
• Comfortable with Python or R for automation, modeling, or data transformation.
• Familiarity with Jira, Confluence, Notion, or Asana.

Education and Certifications

• Bachelor's degree in Engineering, Supply Chain, Operations Management, Data Science, Computer Science, or a related quantitative field.
• Master's degree in a relevant field is a plus.