Data Governance Analyst

Titan Professional Resources is seeking a Data Governance Analyst to join one of our clients. This position will focus on maintaining data quality, developing governance standards, and ensuring data accuracy and consistency across the organization. The ideal candidate will have strong SQL development skills, experience with data governance, and the ability to collaborate with technical and business teams to support data-driven decision-making and advanced analytics.

Data Governance Analyst Responsibilities

• Develop and implement enterprise data governance policies, standards, and best practices.

• Build and maintain SQL-driven data validation checks and automated profiling processes.

• Maintain data dictionaries, data lineage documentation, and standardized data definitions.

• Support AI and advanced analytics initiatives by ensuring data quality, consistency, and governance.

• Implement AI governance controls, including lineage tracking, versioning, and explainability.

• Collaborate with Finance, Operations, Actuarial, and IT teams to address data governance challenges and standardize practices.

• Serve as a subject matter expert on data governance and support secure data sharing with internal teams, external partners, and regulators.

• Monitor industry trends and evolving data governance, data quality, and AI frameworks to identify opportunities for improvement.

• Develop SQL queries to analyze datasets and resolve data integration issues.

• Execute templated SQL tasks to support accounting functions, including reversals and re-invoicing, while maintaining data consistency.

• Support data warehousing and ETL processes to improve data reliability and accessibility.

Data Governance Analyst Qualifications

• Bachelor's degree or college diploma in Information Management, Computer Science, Data Science, Actuarial Science, or a related field.

• Minimum of 5 years of overall professional experience, including at least 2 years in data governance or data management.

• Strong SQL development skills, preferably with T-SQL, including queries, stored procedures, and query optimization.

• Proven experience in data governance and data quality management.

• Experience implementing or managing enterprise metadata platforms such as Microsoft Purview, Collibra, or similar tools.

• Knowledge of data warehousing concepts and ETL processes.

• Exposure to Microsoft Azure and Power Platform tools, including Power BI, Power Apps, and Power Automate.

• Strong communication skills and the ability to translate technical concepts into business solutions.

• Excellent analytical, problem-solving, organizational, and prioritization skills.

• Familiarity with AI governance principles and ethical AI practices is a plus.

• Experience with AI/ML workflows, including data preparation, feature engineering, and evaluation, is an asset.

• Familiarity with PySpark is a plus.

• Experience in insurance, financial services, or other regulated industries is preferred.

• Certifications such as Certified Data Management Professional (CDMP) or Certified Information Privacy Professional (CIPP) are a plus.