Associate, Data Governance

The OCC • Chicago, IL

9d • Hybrid

About The Position

The Associate, Data Governance implements and supports data governance processes from both business and technical perspectives, leveraging AI technologies. The role supports metadata management, data lineage, data quality, and other essential data governance functions. It works with business and technical stakeholders to identify critical data elements, define business glossary terms and rules, identify data sources, document metadata, and map data flows across systems. The associate also develops data quality rules, manages exceptions, creates Tableau dashboards and reports, and uses AI to accelerate analysis and build reusable agents for identifying data quality issues and tracking lineage changes. The position has no supervisory responsibilities.

Requirements

• Ability to work independently and collaboratively as part of a team to complete projects successfully.
• Ability to multitask and meet aggressive deadlines efficiently and effectively.
• Proficiency with Python and SQL for data handling and analysis.
• Strong interest in or foundational experience using generative AI tools such as Claude or ChatGPT to accelerate workflows and problem-solve.
• Understanding of data governance concepts or tools such as Collibra.
• Strong data analysis capabilities.
• Proficiency with Microsoft Office desktop tools, including Word and Excel.
• Experience with business intelligence or reporting tools such as Tableau.
• Strong written and oral communication skills, with the ability to work with users, peers, and management.
• Familiarity with draw.io or similar diagramming tools.
• Bachelor’s or master’s degree in data analytics, computer science, or a related field.

Responsibilities

• Work with Data Domain Owners and SMEs to identify Critical Data Elements (CDEs), define business glossary elements, and establish business rules.
• Collaborate with data owners and stewards to identify data sources and build business metadata.
• Communicate effectively with business and technical SMEs, architects, analysts, developers, and other IT and business teams.
• Build end-to-end business and technical data lineage across disparate sources by working with business and technical SMEs and developers to understand application systems and technical designs.
• Create data flow diagrams and field-level data mappings across systems, using AI to analyze technical designs and data paths.
• Build data quality rules for CDEs and manage data quality exceptions.
• Develop Tableau data quality dashboards and reports to monitor and report data health.
• Use AI technologies to accelerate daily tasks, understand datasets, and trace data flows.
• Help build reusable AI agents to automate the identification and monitoring of data quality anomalies and issues, and track data lineage changes over time.
• Perform other duties as assigned.

Benefits

• Hybrid work environment with up to two days per week of remote work.
• Tuition reimbursement.
• Student loan repayment assistance.
• Technology stipend for using a device of the employee’s choice to connect to the network while working remotely.
• Generous paid time off.
• Parental leave.
• 401(k) employer match.
• Competitive medical, dental, and vision benefits.
• Employees may be eligible for a discretionary annual bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level