About Circle K At Circle K data is a strategic enterprise asset that powers growth operational excellence customer engagement analytics and AI innovation. As part of our Enterprise Data Governance organization we are building modern governance capabilities that enable trusted data certified data products AI readiness and scalable business value across a global enterprise. We are seeking a Lead Data Governance Analyst to drive governance certification adoption and value realization across our modern data platforms including Snowflake Databricks Informatica and AI-enabled solutions. This role will play a critical part in advancing Data Products Data Monetization AI Governance and trusted enterprise data capabilities. Position Summary The Senior Data Governance & AI Enablement Lead is responsible for advancing Circle Ks enterprise data governance strategy with a focus on Policy Implementation Stewardship Coordination AI Governance and Enablement Data Product Governance Data Platform Certification Metadata and Catalog Oversight Data Quality and Trust Data Monetization Enablement Compliance Support Governance Adoption and Change Management This role will partner closely with Data Product Managers Business Product Managers Data Stewards Data Engineering Analytics Architecture Security Privacy AI and Business stakeholders to establish trusted discoverable reusable and certified data assets that drive business outcomes and support responsible AI adoption. A key responsibility will be leading governance and certification efforts across Snowflake Horizon Catalog Databricks Unity Catalog and Informatica ensuring business users and AI solutions have access to trusted and governed data products. Success in this role will be measured through increased adoption of certified data products improved data trust accelerated data access enhanced AI readiness and measurable business value generated through governed data assets. Key Responsibilities AI Governance & Enablement Support the development and implementation of enterprise AI Data Governance frameworks standards and controls. Partner with AI Analytics and Data Science teams to ensure AI solutions utilize trusted and governed data assets. Support AI governance reviews risk assessments and approval processes. Establish metadata lineage and data quality requirements that improve AI readiness. Drive responsible AI practices aligned with regulatory privacy and governance requirements. Data Products & Data Monetization Support the development certification and governance of enterprise Data Products across Customer Item Site Vendor Finance Loyalty Fuel HR and Digital domains. Partner with Data Product Managers and business stakeholders to define governance requirements and success criteria for data products. Enable Data Monetization opportunities by ensuring data assets are discoverable trusted reusable and scalable. Support measurement of Data Product adoption usage business value and operational effectiveness. Identify opportunities to leverage data as a strategic asset to improve revenue reduce costs enhance customer experiences and support AI innovation. Develop governance processes that accelerate self-service analytics and data product consumption while maintaining appropriate controls. Data Platform Certification Establish and manage enterprise certification processes for datasets and data products. Drive adoption of trusted and certified assets across Snowflake and Databricks. Define certification standards including Business ownership Data stewardship Metadata completeness Data quality thresholds Lineage validation Regulatory compliance Security classification Maintain certification workflows scorecards and reporting. Metadata & Catalog Governance Manage business and technical metadata standards across Informatica Snowflake Horizon Catalog Databricks Unity Catalog Support implementation of the Enterprise Catalog of Catalogs strategy. Drive business glossary development and stewardship. Improve data discoverability through metadata enrichment and governance automation. Support synchronization of metadata classifications glossary terms lineage and governance information across platforms. Data Quality & Governance Operations Partner with business and technical teams to identify Critical Data Elements CDEs. Support enterprise data quality monitoring scorecards issue management and remediation processes. Assist with implementation of AI-assisted data quality monitoring and governance automation capabilities. Develop governance metrics and executive reporting. Governance Adoption & Change Management Lead governance enablement training and awareness programs. Support Data Owners Data Stewards Data Product Owners and Data Custodians in executing governance responsibilities. Develop communications training materials job aids and governance documentation. Promote adoption of certified datasets trusted data products and governance best practices across the enterprise. Required Qualifications 7 years of experience in Data Governance Data Management Data Quality Metadata Management Data Products or related disciplines. Experience supporting enterprise governance programs and governance operating models. Strong knowledge of Data Governance Data Quality Metadata Management Data Cataloging Master Data Management Data Product Management AI Governance Experience working with modern cloud platforms including Snowflake Databricks AWS or Azure Understanding of AI readiness responsible AI practices and governance frameworks. Experience driving adoption change management and stakeholder engagement initiatives. Strong communication and executive presentation skills. Experience working in Agile delivery environments. Preferred Qualifications Experience with Informatica IDMC Data Catalog Data Quality MDM or Governance solutions. Experience with Snowflake Horizon Catalog and Databricks Unity Catalog. Experience implementing data certification and trusted data product programs. Experience supporting Data Product operating models and Data Mesh concepts. Familiarity with GDPR CCPA SOX PCI and other regulatory frameworks. Experience supporting Data Monetization customer analytics digital products or advanced analytics initiatives. CDMP certification or similar industry certification preferred. MBA or advanced degree in Information Systems Computer Science Data Analytics Business or related field preferred. Success Measures Success in this role will be measured by Increased adoption of Circle K Master Data via Informatica MDM. Increased adoption and consumption of certified Data Products. Growth in certified datasets and trusted data assets across Snowflake and Databricks. Improved metadata completeness quality and lineage coverage. Reduced time required to discover access and utilize trusted data. Increased business value generated through governed Data Products. Enhanced AI readiness and governance compliance. Increased participation from Data Owners Data Stewards and Data Product Owners. Demonstrated support of Data Monetization opportunities through improved accessibility quality and governance of enterprise data assets. Improved governance maturity operational efficiency and user satisfaction. Why Join Circle K This is an opportunity to shape the future of Data Governance AI Data Enablement and Data Products at a global organization undergoing significant digital transformation. You will help establish trusted data foundations enable responsible AI adoption drive Data Product success and unlock business value through governed and monetized data assets. Better Data. Trusted AI. Governed Data Products. Greater Business Value. Circle K is an Equal Opportunity Employer.The Company complies with the Americans with Disabilities Act the ADA and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Companys Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.Click below to review information about our companys use of the federal E-Verify program to check work eligibilityIn EnglishIn Spanish