Warehouse Systems & Data Integration Manager

Warehouse Systems & Data Integration Manager

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our purpose. We bring imagination and passion to transform the impossible into possibilities.

As the Warehouse Systems & Data Integration Manager, you will act as the digital architect ensuring seamless harmony between our Warehouse Management System (WMS) and ERP platforms (SAP, JDE, Manhattan/Körber). You will design high-quality data flows, orchestrate item master setups, and stabilize warehouse operations across our global network. You will also build Power BI dashboards, collaborate with Databricks and IT teams, and lead deployment readiness.

Integration & Data Ownership

• Ultimate authority on WMS‑ERP integration between SAP/JDE and Manhattan/Körber, mastering data mapping, UOM hierarchy alignment, and cross‑platform data quality.
• Maintain governing rules, controls, and integration logic to keep systems synchronized and stable.
• Use SQL to validate data sets, troubleshoot integration defects, and support technical root‑cause analysis.

Power BI & Data Pipelines

• Design and evolve Power BI dashboards that reveal critical insights on data readiness, system synchronization, system health, and operational KPIs.
• Orchestrate seamless Power BI deployment pipelines from Dev to Test to Prod, ensuring controlled promotion of datasets, dataflows, and reports.
• Partner with Databricks and IT engineering teams to create robust data pipelines, transformations, and analytic data models.
• Take ownership of dataset governance—refresh schedules, performance tuning, and access control.
• Ensure that data structures feeding Power BI meet reporting standards (schema, naming conventions, data definitions).

Standards & Governance

• Craft and enforce warehouse master data standards, including material master, UOM, packaging hierarchy, inventory attributes, and configuration logic.
• Implement governance processes that prevent data drift between WMS and ERP environments.
• Lead the charge for standardized KPIs and reporting conventions that unite global operations.

Project & Deployment Leadership

• Spearhead data readiness for major deployments—testing, validation, and hyper‑care.
• Be the integration champion during program milestones, aligning Operations, IT, Master Data, Engineering, and Program Leadership.
• Create compelling Power BI scorecards that track deployment progress and celebrate success milestones.

Issue Prevention & Operational Stability

• Act as the early warning system for integration defects and system mismatches; lead structured root‑cause analysis.
• Use SQL queries and dashboard insights to proactively identify data issues, trends, and recurring failure points.
• Design and implement preventive controls and update integration logic, rules, or standards to eliminate recurring defects.

Stakeholder Engagement

• Trusted advisor for WMS‑ERP data dependencies across our global supply chain network and IT teams.
• Build strong partnerships with distribution centers to ensure consistent adoption of data standards, configuration expectations, and reporting tools.
• Share expertise through training, documentation, and support for Power BI dashboards and data governance processes.

• Bachelor’s degree.
• 5+ years in warehouse operations, WMS/ERP integration, or master data management.
• Experience with Manhattan, Körber, or similar warehouse systems.
• Experience developing Power BI dashboards and managing datasets/pipelines.
• Ability to travel up to 25 %.

• Master’s Degree.

• Familiarity with SQL for querying, troubleshooting, validation, and supporting data pipelines.
• Ability to partner with Databricks or similar data engineering platforms (ETL/ELT environments).
• Proven leadership in cutover execution and cross‑functional project coordination.
• Strong analytical, problem‑solving, and communication skills; able to simplify complex technical topics.
• Hands‑on familiarity with SAP MM/IM or JDE inventory/distribution modules.
• Strong understanding of core WMS processes (receiving, putaway, picking, packing, shipping, cycle counting).

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