1. Own network stability (the constant)
This is the through-line of the role regardless of what else you pick up:
Set up and govern the automated dashboards, early-warning frameworks, and control-tower rituals tracking end-to-end SLAs, TAT, RTO, and cost health across first-mile, middle-mile, and last-mile.
Detect real-time and structural exceptions across the linehaul and sorting ecosystem, and trigger rapid-response protocols before they hit the customer.
Lead structural RCAs on daily/weekly deviations, and drive permanent corrective and preventive fixes with ground ops - not one-off patches.
2. Take on whatever moves the needle (the variable)
The problems below are illustrative of what may land on your plate - the list is not exhaustive, and priority shifts with the network:
Network Design: Design and continuously optimize the end-to-end layout (sorting hubs, micro-nodes, linehaul lanes, last-mile catchments).
Capacity & Demand Planning: Build predictive volume models and capacity plans that hold up in BAU and scale seamlessly through peak festival events.
Risk & Redundancy: Build contingency frameworks and fail-safes that stop regional shocks from cascading into network-wide failures.
Cost & Efficiency: Drive structural cost reduction through route optimization, load utilization, and node efficiency, in partnership with Product and Data.
New mandates: Take ownership of emerging, high-stakes problems across Fulfilment & Experience that don't yet have a clear owner.
3. Standardize what works
Partner with central teams to design and enforce scalable SOPs and operating guidelines across an asset-light partner ecosystem - so fixes become the default, not tribal knowledge.
4. Orchestrate across the network
Bachelor's degree or MBA from a premier institution.
5-8 years across generalist strategy, Supply Chain Planning, Network Design, or Core Operations in Management Consulting, E-commerce, Hyperlocal, Express Logistics, or FMCG.
Range over specialization: a track record of context-switching across problem types and being deployable on ambiguous, high-stakes problems without a defined playbook.
Strong first-principles problem-solving. Excel/Google Sheets is mandatory; SQL, Python, or BI tools (Tableau/PowerBI) highly preferred.
Ability to reason about interdependencies across multi-tiered nodes (first vs. middle vs. last mile) and anticipate second-order, cascading effects.
High-ownership operator who thrives in ambiguity, moves at high-growth pace, and handles high-stakes cross-functional communication cleanly.