Build the future of healthcare and enterprise AI.

Manhattan Active Warehouse Management (MAWM) outbound end-to-end testing. Outbound warehouse operations, WCS/MHE. Strong experience in defect triage and root-cause analysis.

Supply chain domain knowledge: demand and supply planning, inventory, replenishment, order management. Pharma or healthcare distribution experience. Strong SQL for data profiling and report tracing.

Strong experience as a BA on Manhattan Active WMS and ERP transportation. Strong stakeholder management. Putaway, inventory, replenishment, picking, packing, and shipping.

Supply chain planning and execution systems in pharma, healthcare, or distribution. Experience with Manhattan, SAP IBP, Blue Yonder, or similar platforms. Strong documentation and executive communication skills.

5-8 years in data engineering with at least 2 data migration or conversion projects. Expert-level Oracle SQL, including complex joins. Strong Python for data processing, transformation, and validation. Legacy-to-new data model experience. WMS or ERP data conversions involving SAP, Blue Yonder.

SAP integration to a WMS (purchase orders, ASNs, goods issue, acknowledgements). Background in healthcare, pharmaceutical, or medical products distribution. Multi-site WMS rollout experience.

Hands-on Manhattan Active WMS testing. Hands-on experience with the DVT tool for data validation. End-to-end testing background. Test automation experience is a plus.

5 years of experience, minimum 3 in Provar. Strong Salesforce testing knowledge across Sales Cloud, Service Cloud, and Health Cloud. US healthcare domain experience preferred.

WMS technology and data migration. Strong hands-on experience with Manhattan WMOS. Proven end-to-end data conversion architecture design: Extract, Transform, Validate, Load, Reconcile. Expert-level Oracle SQL and strong Python.

Java, Spring Boot, Microservices, REST APIs, Angular/React, Kafka. Healthcare domain experience.

Data validation testing (DVT) with strong SQL skills. Hands-on testing of data migration or conversion projects. Exposure to Manhattan WMOS or Manhattan Active WM (MAWM). WMS data conversion and mock conversion experience.

FastAPI, Flask, Python, Azure/AWS/GCP. UI components using React.js and JavaScript/TypeScript. Good understanding of SQL and relational databases.

Mandate US healthcare and AI. Deep software development background.

Lead the design and implementation of Salesforce solutions. Extensive Salesforce architecture experience and deep understanding of Salesforce products. Architectural design and technical roadmap.

Python, AWS, Redshift, ADF, DBT.

Performance testing with JMeter and NeoLoad.

SAP automation testing, Tosca, SQL.

Hands-on BMC Discovery / ADDM experience; blueprint design is essential. Exposure to CMDB data models or ITSM tools.

Strong hands-on CMDB expertise: data model, CI classes, relationships. Reconciliation and normalization experience. Understanding of how Discovery data flows into and populates the CMDB.

Hands-on BMC Helix Operations Management (on-prem) experience. Real experience with event correlation and noise reduction, not just monitoring.

Technology services, offshore delivery, business operations, customer relationship management, talent strategy, and organizational scaling. Strong understanding of P&L, customer delivery, and offshore operations.

RPA, AI/ML, data analytics, product development, client engagement, leadership, knowledge of clouds.