Geospatial Manager MAP

Responsibilities

• Lead geospatial integration efforts that connect enterprise mapping platforms with IBM Sterling OMS, ensuring precise location-based order orchestration and fulfillment across all supported regions.
• Architect dependable event-driven systems using JMS and Kafka to deliver real-time data streaming and event processing for high-volume geospatial and commerce transactions.
• Coordinate the development of REST API-based services that provide geospatial data access and order management capabilities, delivering consistent and secure interfaces for both internal and external consumers.
• Manage the configuration and administration of IBM Sterling OMS to support effective order routing, inventory visibility, and geospatial business rules for complex supply chain requirements.
• Enhance message flows across JMS and Kafka by tuning topics, queues, and consumer groups to achieve high throughput, low latency, and dependable delivery of geospatial and order events.
• Implement monitoring and observability for event-driven systems and REST APIs by establishing metrics, alerts, and dashboards that enable early incident prevention and faster troubleshooting and resolution.
• Work in a hybrid environment with product owners, architects, and engineering teams to translate geospatial and order management requirements into scalable technical designs and implementation plans.
• Improve data quality and consistency for geospatial datasets by defining validation rules, enrichment workflows, and reconciliation processes that strengthen downstream analytics and decision-making.
• Coordinate security and compliance controls across IBM Sterling OMS, event streams, and REST APIs by enforcing authentication, authorization, encryption, and audit measures in line with enterprise standards.
• Streamline deployment and configuration processes for JMS, Kafka, and IBM Sterling components by partnering with platform teams to standardize automation scripts, configuration templates, and environment baselines.
• Assess system performance and reliability for geospatial and event-driven solutions through capacity analysis, load testing, and bottleneck identification to guide future scaling and optimization.
• Support cross-functional initiatives that apply geospatial intelligence and event-driven patterns to improve customer experience, operational efficiency, and sustainable logistics outcomes for society.
• Document integration designs, event flows, and service contracts in clear technical artifacts to promote reuse, onboarding, and long-term maintainability across global teams.