Jobs · Information Technology · Wisconsin

Sr. Director - Master Data Management & Data Governance

Kohler Co. · Kohler, WI · 3 wk ago
On-siteInformation Technology$206k–$335k/yrFull-time

Specific Responsibilities

  • Define and lead the enterprise Master Data Management strategy aligned to business and digital transformation priorities
  • Establish a scalable, domain-driven MDM operating model with clearly defined roles and responsibilities cross-functionally across all domains
  • Establish and document all standards, definitions, policies, and procedures for master data management across all domains
  • Enable the execution of quality master data management through technology
  • Oversee master data lifecycle management, golden record creation, hierarchies, and reference data management
  • Enable and automate master data management where possible through technology, determining the right tech stack for the defined people and processes at Kohler

Data Governance Leadership

  • Design and implement a pragmatic enterprise data governance framework
  • Help establish data governance council in partnership with IT Data Leader and Business champion
  • Define and enforce data standards, policies, and controls
  • Ensure regulatory compliance (privacy, financial controls, industry-specific regulations)
  • Enable and automate data governance where possible through technology, determining the right tech stack for the defined people and processes at Kohler

Data Quality & Controls

  • Develop and operationalize enterprise data quality standards and KPIs
  • Implement monitoring, issue management, and remediation processes
  • Partner with security, internal audit, risk, and compliance teams to ensure strong data controls

Business Partnership & Enablement

  • Partner with Supply Chain, Procurement, Engineering, Finance, Marketing, Commercial, Operations, and IT leaders to align master data priorities to business outcomes
  • Translate business requirements into scalable data capabilities
  • Enable analytics, AI, ERP modernization, and digital initiatives through trusted data foundations
  • Evangelize the value of governed, high-quality master data across the enterprise

Organization & Talent Development

  • Build and lead a high-performing IT MDM and Data Governance team
  • Define clear roles for Data Owners, Data Stewards, and Domain Leads
  • Build and lead a matrix environment of IT and Business leaders across domains
  • Foster a culture of accountability, transparency, and data-driven decision-making

Skills/Requirements

  • 12–15+ years of experience in Data Management, MDM, Data Governance, or Enterprise Data Leadership
  • 5+ years in a senior leadership role managing enterprise-scale programs
  • Proven experience implementing and/or managing MDM platforms (e.g., Informatica, Reltio, SAP MDG, Profisee, etc.)
  • Experience building and operationalizing enterprise data governance frameworks cross-functionally across multiple MDM domains
  • Demonstrated success leading large cross-functional teams to own master data domains and create governance standards, policies, procedures, definitions, etc.
  • Strong executive communication and stakeholder management skills

Preferred Experience

  • Experience in manufacturing, consumer products, retail, or supply chain-intensive industries
  • ERP transformation experience (SAP S/4HANA, Oracle, etc.)
  • Experience enabling advanced analytics and AI through governed data foundations
  • Familiarity with data privacy regulations and compliance frameworks

Leadership Competencies

  • Enterprise mindset with strong business acumen
  • Ability to influence without authority across matrixed environments
  • Strategic thinker with operational execution discipline
  • Change agent comfortable driving cultural transformation

Key Performance Indicators

  • Enterprise master data quality improvements (accuracy, completeness, consistency)
  • Adept adoption of governance framework and stewardship model
  • Reduction in data-related operational defects and rework
  • Improved time-to-insight for analytics and AI initiatives

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