Lead Data Governance Analyst

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 K's 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 enter