Director Data Governance and Master Data Mgmt

Crown Equipment Corporation•New Bremen, OH

About The Position

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world's largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership. Job Posting External Primary Responsibilities Oversee, define, and execute a multi-year data governance and master data management strategy and roadmap that aligns with overall Company objectives and digital transformation initiatives. Establish and lead the Company's Data Governance Council (or equivalent), facilitating decision-making on data standards, policies, and critical data issues. Serve as primary liaison and advocate for data governance & master data management across Company units and senior leadership, articulating the business value of data quality and compliance. Develop, implement, and enforce data policies, standards, and procedures for data lifecycle management, quality, sharing, and usage. Define and operationalize data ownership, stewardship, and accountability across all critical data domains (Customer, Product, Vendor, Financial, etc.). Oversee the development and maintenance of Company metadata, including the Business Glossary, Data Dictionaries, and Data Lineage to ensure transparency and understanding of data assets. Create a comprehensive playbook for the Company's data governance. Direct the development and execution of the Company's master data management strategy, including implementation, and optimization of MDM platforms and tools. Define and govern master data definitions, rules, and hierarchies to achieve a "Single Source of Truth" for critical data elements. Oversee data integration and synchronization processes to ensure consistent master data across all operational and analytical systems. Establish and report Key Data Quality Indicators (KDQIs) and metrics (e.g., accuracy, completeness, consistency, timeliness). Collaborate with Data Stewards, Business Stakeholders, Data Owners, and internal team members to define data quality rules and implement monitoring and remediation processes to continuously improve data integrity.

Requirements

Bachelor's degree in Computer Science, Information Management, Business Administration or related field, along with at least 8 years related experience.
Non-degree considered if 12+ years of related experience along with a high school diploma or GED
Occasional travel (0-5%)

Nice To Haves

Master's degree (Computer Science, Information Management, Business Administration) with at least 5 years in a leadership role focused on DG and/or MDM.
Certification in a relevant field (Certified Data Management Professional - CDMP).
Proven track record of building and running successful, enterprise-level DG and MDM programs from strategy to execution.
Deep expertise in DG frameworks (DAMA-DMBOK) and data privacy/security regulations (GDPR, CCPA).
Hands-on experience with MDM, Data Quality, and Data Catalog tools (SAP MDG/MDM, Collibra, Informatica, Alation).
Familiarity with Cloud Data platforms (Azure, AWS, GCP) and modern data architecture principles. Experience in a Manufacturing industry.
Excellent communication, negotiation, and influence skills, with the ability to effectively engage senior, technical, and business stakeholders.

Responsibilities

Oversee, define, and execute a multi-year data governance and master data management strategy and roadmap that aligns with overall Company objectives and digital transformation initiatives.
Establish and lead the Company's Data Governance Council (or equivalent), facilitating decision-making on data standards, policies, and critical data issues.
Serve as primary liaison and advocate for data governance & master data management across Company units and senior leadership, articulating the business value of data quality and compliance.
Develop, implement, and enforce data policies, standards, and procedures for data lifecycle management, quality, sharing, and usage.
Define and operationalize data ownership, stewardship, and accountability across all critical data domains (Customer, Product, Vendor, Financial, etc.).
Oversee the development and maintenance of Company metadata, including the Business Glossary, Data Dictionaries, and Data Lineage to ensure transparency and understanding of data assets.
Create a comprehensive playbook for the Company's data governance.
Direct the development and execution of the Company's master data management strategy, including implementation, and optimization of MDM platforms and tools.
Define and govern master data definitions, rules, and hierarchies to achieve a "Single Source of Truth" for critical data elements.
Oversee data integration and synchronization processes to ensure consistent master data across all operational and analytical systems.
Establish and report Key Data Quality Indicators (KDQIs) and metrics (e.g., accuracy, completeness, consistency, timeliness).
Collaborate with Data Stewards, Business Stakeholders, Data Owners, and internal team members to define data quality rules and implement monitoring and remediation processes to continuously improve data integrity.