Geospatial Manager MAP

Responsibilities

• Drive geospatial integration solutions that align enterprise mapping platforms with IBM Sterling OMS to ensure accurate location-based order orchestration and fulfillment across all supported regions.
• Design robust event-driven architectures using JMS and Kafka to enable real-time data streaming and event processing that supports high-volume geospatial and commerce transactions.
• Coordinate the implementation of REST API-based services for geospatial data access and order management interactions to provide consistent and secure interfaces for internal and external consumers.
• Oversee configuration and administration of IBM Sterling OMS to enable efficient order routing, inventory visibility, and geospatial business rules that support complex supply chain scenarios.
• Optimize message flows across JMS and Kafka by tuning topics, queues, and consumer groups to achieve high throughput, low latency, and reliable delivery for geospatial and order events.
• Implement monitoring and observability practices for event-driven systems and REST APIs by defining metrics, alerts, and dashboards that support proactive incident prevention and faster resolution.
• Collaborate with product owners, architects, and engineering teams in a hybrid work environment to translate geospatial and order management requirements into scalable technical designs and implementation plans.
• Guide improvements to data quality and consistency for geospatial datasets by defining validation rules, enrichment workflows, and reconciliation processes that enhance 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 practices aligned with enterprise standards.
• Streamline deployment and configuration processes for JMS, Kafka, and IBM Sterling components by working with platform teams to standardize automation scripts, configuration templates, and environment baselines.
• Evaluate system performance and reliability for geospatial and event-driven solutions by conducting capacity analysis, load testing, and bottleneck identification to support future scaling and optimization.
• Support cross-functional initiatives that use 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 that promote reuse, onboarding, and long-term maintainability across global teams.