Associate, Data Governance

OCC • Chicago, IL

11d • $64,600 - $99,900 • Hybrid

About The Position

The Associate, Data Governance implements and supports data governance processes from business and technical perspectives, leveraging AI technologies. The role supports metadata management, data lineage, data quality, and other essential data governance functions.

The Associate works with data domain owners, subject matter experts, data owners, and stewards to identify critical data elements, define business glossary terms and business rules, identify data sources, and develop business metadata. The role builds end-to-end business and technical data lineage across disparate sources, creates data flow diagrams and field-level data mappings, and uses AI to analyze technical designs and data paths. It also develops data quality rules, manages exceptions, and creates Tableau dashboards and reports to monitor data health. The position uses AI technologies to accelerate work and helps build reusable AI agents for data quality anomaly identification, monitoring, and tracking lineage changes over time.

The position has no supervisory responsibilities. OCC describes its work environment as hybrid, with up to two days per week of remote work. The role is not eligible for visa sponsorship.

Requirements

• Ability to work independently and collaborate effectively as part of a team to complete projects.
• 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 solve problems.
• 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 and 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

• Implement and support data governance processes from business and technical perspectives, leveraging AI technologies.
• Implement and support metadata management, data lineage, data quality, and other essential data governance functions.
• Work with Data Domain Owners and SMEs to identify critical data elements, define Business Glossary elements, and define business rules.
• Collaborate with data owners and stewards to identify data sources and develop business metadata.
• Communicate and collaborate 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 with business and technical SMEs and developers.
• 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 critical data elements and manage data quality exceptions.
• Develop data quality dashboards and reports in Tableau 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 data quality anomaly and issue identification, monitoring, and tracking 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 connecting to the network while working remotely.
• Generous paid time off and parental leave.
• 401(k) employer match.
• Competitive medical, dental, and vision benefits.
• Potential eligibility for a discretionary annual incentive award with a target range of 6% to 10%.

What This Job Offers

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