About the role

Role Overview

The Data Governance Lead will anchor the development and implementation of Koch Inc.’s data governance strategy. This role will oversee data quality initiatives, data catalog management, data virtualization, and AI-powered solutions to ensure data is accurate, accessible, and leveraged for business value. The ideal candidate is an experienced leader with hands-on expertise in data governance, data quality, metadata management, and enabling advanced analytics.

Key Responsibilities

Develop, implement, and enforce data governance policies, standards, and frameworks across the organization.
Lead data stewardship initiatives to ensure data accuracy, consistency, and compliance.
Drive data quality management, including profiling, cleansing, validation, and remediation (including SAS Viya).
Use tools such as Qualytics to automate and monitor data quality across the enterprise.
Manage and optimize enterprise data catalog solutions (e.g., Alation), ensuring effective metadata management, data lineage, and discovery.
Design and oversee data virtualization architectures to enable seamless access to distributed data sources (including Denodo).
Collaborate with analytics and data science teams to leverage AI technologies for improved data management, anomaly detection, and predictive data quality.
Engage stakeholders across IT, business, and analytics to promote data literacy, governance adoption, and culture change.
Lead change management, training, and communication efforts related to data governance.
Report progress, challenges, and business impact to leadership.

Required Skills & Qualifications

Proven experience in data governance, data quality management, and metadata management (7+ years).
Hands-on expertise with Alation (or equivalent data catalog/ data governance tools), SAS Viya, and Qualytics .
Hands on experience with Python and SQL.
Demonstrated understanding of data virtualization concepts and solutions.
Practical knowledge of AI/ML applications in data management .
Strong project leadership, stakeholder management, and communication skills.
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.

Preferred Qualifications

Certifications in Data Governance or Data Management (e.g., DCAM, CDMP).
Experience in regulated industries (manufacturing, finance, etc.).
Knowledge of cloud data platforms (AWS, Azure).
Experience working with large, distributed data environments.