Sr. Data Management Analyst

What you will be doing:

• Coordinate and facilitate data management initiatives across business, analytics, and engineering teams
• Support the establishment of data ownership and stewardship frameworks
• Track governance initiatives, action items, and adoption progress

• Coordinate updates and assist in maintaining the business glossary, data catalog entries, and dataset documentation in collaboration with data owners and domain experts
• Support documentation of dataset definitions, lineage, and ownership

• Assist in defining governance practices for core entities such as Customer, Account, and Product
• Coordinate with system owners to improve consistency across systems

• Organize governance workshops and working sessions with stakeholders.
• Develop documentation and governance playbooks
• Assist in promoting adoption of data management tools and practices across teams
• Identify opportunities to leverage AI tools and automation to improve metadata documentation, governance workflows, and operational efficiency

What you will bring to the role:

• Bachelor’s and/or Masters Degree in related field
• 4–7 years of experience in data governance, analytics, data management, or related roles
• Experience working with metadata management, data catalogs, or governance initiatives
• Familiarity with metadata management, lineage, and data catalog concepts
• Experience working with cross-functional teams to operationalize metadata management, business glossary, or data governance processes
• Understanding of data warehouses, BI platforms, and reporting workflows
• Basic SQL skills to support data validation and analysis when needed
• Strong coordination, stakeholder management, and communication skills

• Experience with Collate, Open Metadata, Snowflake, Power BI, or modern analytics platforms
• Experience leveraging AI tools or automation frameworks to improve data documentation, metadata enrichment, or operational workflows

• Business glossary and dataset documentation maintained and adopted across teams
• Governance initiatives progressing across key data domains
• Improved visibility into data ownership and lineage
• Increased efficiency in documentation and governance workflows through automation and AI-enabled processes

Diversity, Inclusion, and Equal Opportunity