Information Management Analyst, Mid Level

What you'll do

• Manage and analyze master and reference data in adherence to internal policies and external regulations.
• Maintain metadata repositories and ensure proper metadata association for information assets.
• Develop and implement data quality rules, monitoring results through reports and dashboards.
• Maintain Information Asset Inventories and ensure all data assets are classified appropriately.
• Create and maintain reference data in accordance with defined processes and procedures.
• Support privacy initiatives through the classification, tagging, and analysis of sensitive data.
• Identify and escalate corporate risks associated with business activities to ensure compliance.
• Document and update data quality corrective action plans and compliance assessment failures.

What we're looking for

• Bachelor's degree in a business or science field; OR 4 years of relevant education and/or experience.
• 4 years of experience in an information management practice, business application function, or data delivery; OR 2 years of experience if holding an advanced degree in a business or science discipline.
• Basic working experience following data management practices and theories and utilizing tools to address data management risks and concerns.
• Intermediate working SQL knowledge including SQL-based languages.
• Demonstrated skills in understanding and correcting data discrepancies, identifying data anomalies, and performing root cause analysis.
• Advanced communication skills with the ability to deliver presentations to all levels of management.
• Experience governing enterprise AI capabilities, including AI agents, generative AI solutions, and intelligent automation platforms (preferred).
• Knowledge of data governance frameworks, control environments, and data trust practices (preferred).