Job Description

Position Overview

The Senior Manager, Master Data Management — Customer Domain is responsible for leading the global strategy, operations, and governance of customer master data across all regions and business functions. This role will own the customer domain end-to-end — from running daily data operations for the customer lifecycle management to strengthening a centralized customer master repository and globalizing lifecycle management processes, to driving data quality, de-duplication, and cross-regional harmonization in a highly complex environment.

Today, customer master data processes are somewhat regional, performed by different business units across geographies with limited standardization. Significant operational inconsistencies persist across regions. This role will lead the transformation from a fragmented, regionally-driven model to a globally governed, harmonized customer data capability — while respecting regional nuances and business-specific requirements.

This role will collaborate with customer domain leadership — including the domain leader (business) and MDM leader (IT) — to establish the framework and strategy around four key dimensions: data, process, application improvements, and organizational change management. The Senior Manager will then create and execute a roadmap that drives changes across all four dimensions, ensuring a holistic approach to improving the business user experience, driving efficiency, and enabling globalization. Execution will involve close collaboration with system and business SMEs to implement the use cases defined in the roadmap.

The Senior Manager will lead a team of data stewards, business analysts, and report analysts, and will collaborate closely with customer domain leader and data owners across multiple business units to define business rules, data standards, and quality requirements. This role also partner with the global process owner for customer lifecycle management to drive operational efficiency and consistency.

Key Responsibilities Domain Strategy & Globalization

• Define and execute the global customer domain strategy, including roadmap for centralization, harmonization, and governance
• Lead the globalization of customer lifecycle management processes while accommodating regional nuances
• Drive cross-regional harmonization to eliminate operational inconsistencies in customer data management
• Establish the customer master repository as the authoritative source for customer golden records across the enterprise
• Create and execute a roadmap that drives improvements across four dimensions: data, process, applications, and organizational change management
• Collaborate with customer domain leadership (domain leader: business; MDM leader: IT) to establish the framework and strategy for the customer domain
• Partner with system and business SMEs to implement use cases defined in the roadmap
• Address all aspects of the business user experience to drive efficiency and globalization

Data Quality & Standards

• Collaborate with customer domain data owners to define business rules, data standards, and data quality requirements
• Drive customer data de-duplication and ensure consistent data quality across all systems
• Define and monitor customer attribution completeness requirements across business units (engineering, sales, legal, finance, accounting, marketing)
• Establish data quality metrics and reporting to track progress and identify areas requiring remediation
• Lead data certification processes to ensure accuracy and reliability of customer master data

customer Master Enhancements and Project Delivery

• Manage customer lifecycle processes including creation, modification, classification, and retirement
• Perform and oversee data model changes, bulk data processing, and data migrations
• Ensure customer data supports downstream operational and analytical needs across all consuming systems
• Drive data projects within the customer domain from initiation through delivery
• Lead large-scale data migrations and onboarding of new systems and organizations to the customer master
• Coordinate with the MDM engineering team on platform capabilities needed for customer domain initiatives
• Ensure project deliverables meet quality standards and align with the broader MDM roadmap

Team Leadership & Development

• Lead and manage a team of resources including data stewards, business analysts, and report analysts
• Set team priorities, manage workload, and ensure delivery against program milestones
• Hire, develop, and retain talent to build a high-performing global customer data team
• Foster a culture of accountability, data ownership, and continuous improvement
• Scale the team's capabilities to support global operations beyond the current North America scope
• Maintain and report on operational and data quality KPIs

Stakeholder Collaboration & Governance

• Partner with customer domain data owners across all regions and business functions collaborating with engineering, sales, legal, finance, accounting, marketing, and operations on domain-specific requirements
• Work with the Data Governance Council to establish governance structures for the customer domain
• Engage IT and platform teams to ensure technical solutions support customer domain business requirements
• Drive alignment and consensus across stakeholders with competing priorities and regional perspectives

Required Qualifications Experience

• Minimum 10 years of experience in master data management, data governance, or data operations
• Proven track record of leading data domain teams and managing cross-functional stakeholders
• Experience creating and executing roadmaps that span data, process, application, and organizational change management dimensions
• Demonstrated ability to drive holistic business transformation beyond just data — including process redesign, application improvements, and change management
• Demonstrated ability to build and scale teams in complex, multi-country environments
• Experience with large-scale data migrations, bulk data processing, and data model changes
• Proven ability to drive cross-regional harmonization and standardization initiatives

Domain & Technical Skills

• Deep understanding of customer master data including customer lifecycle, customer data enrichment, and operations
• Experience defining business rules, data standards, and data quality requirements with business stakeholders
• Proficiency in data quality management — profiling, monitoring, remediation, and reporting
• Working knowledge of SQL and ability to understand data flows across systems
• Experience with at least one MDM platform or data management tool
• Understanding of data governance frameworks and stewardship operating models

Leadership & Communication

• Proven ability to lead and develop teams of data stewards, analysts, and specialists
• Strong stakeholder management skills across diverse business functions and regions
• Ability to influence without direct authority and drive consensus among competing priorities
• Excellent written and verbal communication skills for both technical and business audiences
• Experience operating as a domain process owner with accountability for end-to-end outcomes
   

Preferred Qualifications

• Multi-domain MDM experience (customer, supplier, contact, customer)
• Manufacturing industry experience across multiple countries and regions
• Experience improving and evolving a master data repository
• Familiarity with integration with other systems such as ERP, CRM, etc.
• Experience with data governance council participation and domain governance setup
• Knowledge of global data privacy regulations and compliance requirements
• Experience working with offshore vendor partners on large-scale data initiatives
• Certification in data management or governance (e.g., CDMP, DGSP)
   

Core Competencies

• Global mindset: Designs processes that scale globally while respecting regional realities
• Domain ownership: Takes full accountability for the health, quality, and usability of customer master data
• Stakeholder influence: Aligns diverse business functions around common data standards and practices
• Operational transformation: Converts fragmented, regional processes into governed, scalable operations
• Team building: Develops high-performing teams capable of supporting enterprise-scale data operations
• Execution discipline: Delivers measurable improvements in data quality, consistency, and completeness
• Holistic transformation: Drives change across data, process, applications, and organizational change management to deliver end-to-end business improvement