Data Governance Manager (m/f)

The Data Governance Manager plays a critical role in advancing McCormick’s enterprise data governance capabilities to ensure data is trusted, consistent, and responsibly managed across global functions and regions. As part of the Data & AI Trust Team, this role partners with Data Product teams and business stakeholders to embed governance principles into McCormick’s evolving data ecosystem, enabling trusted insights, accelerating innovation, and driving meaningful business outcomes.     Key Responsibilities   Establishes, implements, and advances McCormick’s enterprise data governance framework, including the design and application of policies, standards, and processes that enable consistent data management practices across global functions and regions. Ensures alignment with enterprise data strategy and coordination across Data Product teams to promote responsible and effective data use. Leads initiatives to improve data quality, lineage, and metadata management in collaboration with Data Product teams and technical stakeholders. Defines and monitors data quality metrics, supports remediation of data issues, and ensures data assets are accurate, complete, and trusted for business use. Works closely with other teams within the Data & Analytics function to implement and optimize data governance platforms and tools (e.g., data catalog, metadata management, data quality solutions). Leverages automation and intelligent workflows to embed governance controls within data processes and integrate these capabilities into McCormick’s broader data and analytics ecosystem, ensuring scalable, efficient, and sustainable oversight. Drives the activation and enablement of data stewardship across functions and regions. Coordinates governance activities across data domains to ensure consistent application of standards and stewardship practices across all Data Products. Collaborates with business and data leaders to embed ownership, accountability, and adoption of governance practices through training, communication, and change management. Monitors and measures the effectiveness of data governance activities through defined metrics and maturity assessments. Identifies opportunities to enhance processes, automation, and scalability within the governance service model, demonstrating measurable business value through improved data quality, accessibility, and decision‑making effectiveness.     Required Qualifications   Bachelor’s degree in Information Management, Data Science, Computer Science, Business Analytics, or related field Significant  experience in data governance, data management, or data quality in a complex enterprise environment Strong knowledge of: Data governance frameworks and best practices Data quality, metadata, lineage, and cataloging Data product–oriented operating models Data privacy, security, and responsible data use considerations Proven project management, stakeholder collaboration, and ability to translate technical concepts into business‑friendly language Strong communication, relationship‑building, and changing leadership skills Certifications such as CDMP, DGSP, or similar is an advantage Familiarity with tools such as Microsoft Purview, Collibra, Informatica, Alation is an advantage Awareness of emerging trends in data & AI governance, including responsible AI is an advantage Demonstrated ability to connect data governance outcomes to measurable business value