Senior Manager - Systems and Master Data Management Lead

The Senior Manager, Systems and Master Data Management Lead role is responsible for leading a team that ensures enterprise Engineering, Facilities, and EHS systems and data platforms provide standardized, scalable, and secure business processes and analytics. This leader ensures trusted, consistent, and governed master data across the global ecosystem while enabling data to be Findable, Accessible, Interoperable, and Reusable (FAIR).

Requirements

• Builds and leads a high-performing technical team by hiring, developing talent, and driving accountability, collaboration, and continuous improvement aligned with business goals.
• Ensures enterprise systems and data platforms enable standardized, scalable, and secure business processes and analytics.
• Owns systems and data roadmaps aligned with Clean Core principles and enterprise architecture standards.
• Translates business requirements into scalable systems and data designs that support sustainable and integrated solutions.
• Governs system configurations, integrations, and changes while minimizing unnecessary customization.
• Defines and governs master data standards, ownership, and lifecycle management across Engineering, Facilities, and EHS domains.
• Ensures trusted, consistent master data supporting enterprise analytics, system integration, and operational decision-making.
• Manages master data quality, metadata management, cataloging, and issue resolution at the root cause.
• Ensures data is discoverable, controlled, interoperable, and reusable across the enterprise ecosystem in alignment with FAIR data principles.
• Enables data architecture and pipelines that support reliable analytics, reporting, and operational insights.
• Supports cross-system integrations and reconciliation across enterprise platforms.
• Collaborates with Centers of Excellence (COE), Master Data Management, Continuous Improvement, and Reporting teams to enable reliable analytics and insights.
• Ensures system upgrades and enhancements are simple, cost-effective, secure, and aligned with enterprise governance and cybersecurity requirements.
• Maintains strong governance discipline and controls to ensure data integrity, compliance, and operational reliability.
• Partners closely with Technology, analytics teams, and business stakeholders to align systems and data capabilities with enterprise priorities.