Director, Master Data Management

Voyant Beauty•Hodgkins, IL

About The Position

The Director, Master Data Management (MDM) establishes, governs, and maintains Voyant Beauty’s enterprise master data across ERP, supply chain, manufacturing, quality, customer, vendor, and product domains. The role owns enterprise master data standards, processes, and governance practices to promote accuracy, consistency, integrity, and accessibility across business units, manufacturing sites, and systems. The Director partners with Operations, Supply Chain, Manufacturing, Quality, Finance, Sales, R&D, IT, and functional Data Owners and Data Subject Matter Experts. The position advances a consistent “One Voyant” approach by clarifying accountability, strengthening governance controls, improving data processes, and supporting a reliable single source of truth for enterprise master data. It also supports enterprise reporting, planning, forecasting, compliance, and decision-making.

Requirements

Bachelor’s degree in Information Systems, Supply Chain, Business Administration, Engineering, Data Management, or a related field.
7–9 years of progressive experience in Master Data Management, ERP administration, data governance, business systems, or a related discipline.
7–9 years working within a manufacturing and/or supply chain environment.
7–9 years of experience establishing or managing master data standards, governance processes, and data quality practices.
7–9 years working with ERP systems such as Epicor, Oracle, JD Edwards, Microsoft Dynamics, or comparable enterprise platforms.
7–9 years working with master data elements, including Item Master Management, Bills of Material (BOMs), Routings, Customer Master Data, Vendor Master Data, Product Lifecycle Management, and Change Control Processes.
7–9 years of demonstrated ability to lead through influence and align multiple functions around standardized enterprise processes.
High proficiency in Master Data Management and Data Governance; ERP Master Data Processes; Data Quality and Data Integrity Management; Item Master, BOM and Routing Management; Customer and Vendor Master Data; Product Lifecycle and Change Control Processes; Process Standardization and Continuous Improvement; Data Governance Policies, Standards and Controls; Cross-Functional Leadership and Influence; Stakeholder Management; Analytical and Root Cause Problem Solving; Business Process Mapping and Documentation; ERP/System Integration and Data Migration; Reporting, Metrics and KPI Development; Change Management; Written and Verbal Communication; and Organization and Prioritization.

Nice To Haves

7–9 years supporting enterprise MDM or ERP transformation initiatives.
7–9 years working across multiple manufacturing locations and/or shared services environments.
7–9 years of knowledge of established data governance frameworks and practices.
7–9 years working with data quality platforms, workflow tools, automation solutions, and business intelligence tools.
Certification in Data Management, such as DAMA/CDMP, Lean Six Sigma, PMP, or a related discipline.

Responsibilities

Develop, implement, and maintain enterprise master data policies, standards, procedures, and governance practices across data domains.
Establish ownership, stewardship, accountability, and decision-making responsibilities for Data Owners and Data SMEs.
Lead or facilitate Master Data Governance meetings, review boards, and cross-functional governance discussions.
Define data quality standards, metrics, and compliance expectations; monitor quality and lead corrective actions.
Establish and oversee data lifecycle processes, including creation, modification, activation, obsolescence, retention, and archival.
Drive consistent master data practices across business functions and manufacturing locations.
Conduct or coordinate periodic reviews and audits of master data records; identify and resolve duplicate, incomplete, inaccurate, inconsistent, or conflicting data.
Develop KPIs, scorecards, and other measures to evaluate master data quality and performance; analyze recurring issues and root causes and identify sustainable corrective actions.
Oversee master data processes supporting ERP platforms, including item masters, Bills of Material (BOMs), routings, customer records, vendor records, and product attributes.
Partner with IT and system owners to establish data controls, validation rules, workflows, access, and security.
Support ERP implementations and upgrades, system integrations, acquisitions, data migrations, and business process changes; provide master data expertise for related projects.
Collaborate with application owners to ensure data synchronization and integrity across systems.
Design, document, and maintain standardized master data creation and maintenance processes, including process flows, roles, responsibilities, and accountability.
Identify opportunities to improve efficiency, accuracy, and control through automation, workflow management, and process redesign; lead initiatives to reduce manual maintenance and strengthen governance controls.
Establish scalable processes that support enterprise growth and operational consistency, and promote a single source of truth across functional areas.
Serve as a primary liaison between business stakeholders and IT regarding master data requirements and priorities.
Partner with business functions to understand and address data needs, facilitate governance decisions, and resolve data-related issues.
Provide guidance, training, and support to business users on master data processes and governance requirements.
Support business intelligence, planning, forecasting, compliance, and operational reporting through accurate and reliable master data.
Participate in enterprise transformation, ERP, integration, and continuous improvement initiatives as required.
Develop and maintain master data management documentation, training materials, procedures, and governance resources.
Support organizational change management for new master data standards, systems, and processes.
Build working relationships across functions, business units, and manufacturing locations.