Director, Master Data Management

Voyant Beauty•Hodgkins, IL

About The Position

The Director, Master Data Management (MDM) is responsible for establishing, governing, and maintaining 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 ensure data 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, functional Data Owners, and Data Subject Matter Experts to improve data governance and quality, standardize processes, and support reporting, planning, forecasting, and decision-making. The position advances a consistent “One Voyant” approach by defining accountability, strengthening controls, improving data processes, and promoting a reliable single source of truth.

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 of experience working within a manufacturing and/or supply chain environment.
  • 7–9 years of demonstrated experience establishing or managing master data standards, governance processes, and data quality practices.
  • 7–9 years of experience working with ERP systems such as Epicor, Oracle, JD Edwards, Microsoft Dynamics, or comparable enterprise platforms.
  • 7–9 years of experience with item master management, Bills of Material, 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 integrity management; item master, BOM, and routing management; customer and vendor master data; product lifecycle and change control processes; process standardization and continuous improvement; 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 of experience supporting enterprise MDM or ERP transformation initiatives.
  • 7–9 years of experience 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 of experience 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 master 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, and establish data lifecycle processes for data creation, modification, activation, obsolescence, retention, and archival.
  • Drive consistent master data practices across business functions and manufacturing locations.
  • Monitor master data quality, lead corrective actions, coordinate periodic reviews and audits, resolve data issues, and identify root causes and sustainable corrective actions.
  • Develop KPIs, scorecards, and other measures to evaluate master data quality and performance, and ensure consistency across business units, manufacturing sites, and enterprise systems.
  • Oversee master data processes supporting ERP platforms, including item masters, Bills of Material, 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, upgrades, system integrations, acquisitions, and data migration activities; provide master data expertise on system projects and business process changes.
  • Collaborate with application owners to maintain 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 data maintenance.
  • Establish scalable processes that support enterprise growth and operational consistency, and promote a single source of truth for enterprise master data.
  • 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 documentation, training materials, procedures, and governance resources.
  • Support organizational change management for new master data standards, systems, and processes, and build working relationships across functions, business units, and manufacturing locations.
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