Associate, Data Governance

About the Role

Implement and support data governance processes from both a business and technical perspective leveraging AI technologies. Implement and support Metadata Management, Data Lineage, Data Quality, and other essential Data Governance functions.

Key Responsibilities

• Work closely with Data Domain Owners and SMEs to identify CDE’s (Critical Data Elements), define data elements for the Business Glossary, and define business rules.
• Collaborate with data owners and stewards to identify data sources and build out the business metadata.
• Build end-to-end business and technical data lineage across disparate sources by working with business and technical SMEs/developers, understanding application system/technical design.
• Create data flow diagrams and data mappings at the field level across systems by leveraging AI to analyze technical designs and data paths.
• Build data quality rules for the critical data elements (CDEs) and manage data quality exceptions.
• Develop Data Quality Dashboards and reports in Tableau for monitoring and reporting data health.
• Actively use AI technologies to accelerate daily tasks, understand data sets, and trace data flows.
• Help build reusable AI agents to automate data quality anomalies/issues identification, monitoring, and track data lineage changes over time.
• Perform other duties as assigned.

Requirements & Tech Stack

• Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers, and other IT and business teams.
• Ability to work independently and collaborate effectively as part of a team to successfully complete projects.
• Ability to multitask and meet aggressive deadlines efficiently and effectively.
• Proficient with Python and SQL for data handling and analysis.
• Strong interest or foundational experience using Generative AI tools (like Claude or ChatGPT) to accelerate workflows and problem-solve.
• Understanding of data governance concepts or tools like Collibra.
• Strong data analysis capabilities.
• Proficient with Microsoft Office desktop tools (Word, Excel, etc.).
• Experience with Business Intelligence/Reporting tools such as Tableau.
• Strong written and oral communication skills with ability to work with users, peers, and management.
• Familiarity with draw.io or similar diagramming tools.

Technical Skills

• Structured Query Language (SQL)
• Python
• Tableau
• Generative AI Platforms (Claude)

Qualifications

• Bachelor’s or master’s degree in data analytics, computer science, or related field.

Note: This position is not eligible for visa sponsorship.