• Design, develop, and maintain data quality controls across critical Commercial Banking data assets.
• Use SQL and Python to perform data profiling, reconciliation, monitoring, and root-cause analysis.
• Build automated frameworks to identify, monitor, and remediate data quality issues.
• Apply AI and agentic technologies to automate governance activities and improve operational efficiency.
• Partner with business, data, and technology teams to establish accountability for data quality and governance.
• Develop and maintain metadata, business definitions, lineage, and governance documentation.
• Support identification and remediation of critical data issues.
• Build dashboards and metrics that measure governance effectiveness and data quality performance.
• Contribute to regulatory, risk management, and compliance initiatives.
• Identify opportunities to modernize governance processes using emerging technologies.
• Promote a culture where data is treated as a strategic business asset.

• 5+ years of experience in Data Governance, Data Management, Data Quality, Data Analytics, or a related discipline.
• Strong SQL skills with experience analyzing and validating large datasets.
• Strong Python programming and automation experience.
• Experience designing and implementing data quality controls and monitoring frameworks.
• Knowledge of data governance principles, metadata management, lineage, and data stewardship.
• Experience collaborating with both business and technology stakeholders.
• Strong analytical thinking and problem-solving abilities.
• Excellent written and verbal communication skills.
• Demonstrated ability to operate independently and manage competing priorities.
• Experience using AI-assisted tools to improve productivity and business outcomes.

• Experience with Agentic AI frameworks and AI orchestration platforms.
• Knowledge of Microsoft Copilot, Azure AI, OpenAI, LangChain, or similar technologies.
• Experience with Microsoft Purview, Collibra, Informatica, Alation, or comparable governance tools.
• Experience using Power BI or Tableau.
• Banking, commercial lending, risk management, or financial services experience.
• Understanding of regulatory data management and controls.
• Experience with cloud platforms such as Azure or AWS.

In your first year, you will:

• Increase automation of governance and data quality processes.
• Build scalable data quality controls for critical business data.
• Improve visibility into data health through monitoring and reporting.
• Expand governance coverage through AI-enabled workflows.
• Help business teams make faster, more confident decisions using trusted data.