Jurisdiction Optimization Manager, AMZL Growth & Expansion

Amazon Logistics (AMZL) is building a world-class last-mile delivery operation in Brazil. We are in an exciting phase of rapid network growth tackling some of the most complex logistics challenges in the country. We seek analytical leaders who are passionate about using data and geospatial analysis to drive operational efficiency at scale.

We are looking for a Jurisdiction Optimization Manager to own the strategy analysis and governance of delivery jurisdiction boundaries across the entire AMZL Brazil this role you will determine how delivery areas are allocated across stations balancing delivery cost speed capacity and customer experience. Youll define where each station operates when those boundaries should change and build the mechanisms that ensure jurisdiction decisions are optimized continuously as the network evolves.

Youll set jurisdictions for new station launches optimize existing boundaries as demand patterns shift and build governance frameworks that keep the network efficient at scale. Your work directly impacts millions of customer deliveries cost per package and delivery speed across Brazil.

Youll combine deep analytical work (SQL geospatial tools cost modeling) with program management to drive cross-functional alignment and deliver measurable improvements to the network.


Key job responsibilities
Own the jurisdiction optimization strategy for AMZL Brazil determining which boundary changes deliver the highest impact on cost speed and coverage
Define and configure jurisdiction boundaries for new station launches ensuring optimal initial setup aligned with demand profiles and operational capacity
Conduct ongoing analysis of existing jurisdictions to identify optimization opportunities rebalancing workload reducing cost per package and improving delivery speed
Build governance mechanisms for jurisdiction management: cadences review criteria escalation paths and change management processes that scale as the network grows
Develop analytical frameworks and models (cost demand capacity) that drive data-backed jurisdiction decisions rather than reactive adjustments
Partner cross-functionally with Operations Capacity Planning Routing and Network Planning teams to align jurisdiction changes with broader network strategy
Design and execute pilots for innovative jurisdiction models validate impact with data and scale successful approaches across the network
Adapt and localize global best practices and tools from other AMZL markets (NA EU JP) to the Brazilian context
Create visibility into jurisdiction performance through dashboards and reporting that enable proactive optimization


A day in the life
As a Jurisdiction Optimization Manager youll split your time between analytical deep-dives and cross-functional coordination. You might start the day running geospatial analysis to identify a jurisdiction imbalance causing excess cost in a metro area then lead a review with Operations to align on a boundary change before a new station launch. Youll build models that quantify the tradeoffs of different jurisdiction configurations present recommendations to leadership with clear cost/speed impact data and design the governance process that ensures these decisions are made consistently. No two weeks look the same your work follows the rhythm of network launches seasonal demand shifts and continuous improvement cycles.

About the team
Amazon Logistics (AMZL) is Amazons Last Mile delivery service responsible for delivering packages (and smiles) to homes and businesses across the planet. Within AMZL Brazil the Growth & Expansion team overlooks 2 main areas in support to AMZLs operation and growth: (1) Jurisdiction planning and management driving the growth and optimization of our delivery/pick-up coverage and topology; ; and (2) Expansion initiatives coordinating local efforts on big rock projects that enable new types of operations new sales and delivery channels modes of transport (Fleet types micromobility) and end-to-end programmatic coordination of AMZLs network expansion.

- Bachelors degree or above in Supply Chain Management Engineering Math Business or other related quantitative disciplines
- Experience defining and executing program requirements and using data and metrics to determine improvements
- Experience in business analysis and functional roles requiring quantitative analytical and organizational skills including intermediate Excel skills (Pivot Tables VLookups)
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale complex datasets
- Experience in Supply Chain Management
- Experience working cross functionally across several teams
- Experience in English-language communication skills both written and verbal

- Experience building processes project management and schedules
- Experience in transportation operations and industry knowledge
- Familiarity with geospatial analysis concepts (maps coverage areas spatial relationships)
- Experience with GIS tools (QGIS ArcGIS or similar) for spatial analysis and visualization
- Programming skills (Python) for data analysis and automation
- Experience applying GenAI/LLM-based solutions to operational or analytical problems (prompt engineering AI-assisted coding or building AI-augmented workflows)

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