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Senior Enterprise Data Governance Analyst - Information Technology
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Job Description
- Req#: 5001143284506
Employer Industry: Financial Services
Why consider this job opportunity:
- Salary up to $75,000 annually
- Excellent benefits package including medical, dental, vision, and 401(k) with employee match
- Generous PTO policy with 22 days of Paid Time Off and 11 annual paid holidays
- Opportunity for career advancement and growth within the organization
- Supportive work environment that values data integrity and quality
- Chance to work with cutting-edge data governance tools and methodologies
What to Expect (Job Responsibilities):
- Champion data governance and quality initiatives to ensure accuracy and reliability across platforms and business processes
- Define and implement metadata management best practices, including classification and documentation
- Lead data stewardship efforts, collaborating with business units and data owners to establish governance roles and responsibilities
- Develop and enforce data governance policies and procedures, ensuring alignment with regulatory requirements
- Monitor and report on data governance and quality metrics, driving accountability and continuous improvements
What is Required (Qualifications):
- Bachelor’s Degree in Information Systems, Data Management, Business Analytics, or a related field
- Minimum of 5 years of experience in data management, data governance, or data quality in the financial services industry
- Extensive knowledge of data governance frameworks, methodologies, and best practices
- Strong background in data quality management, including issue identification and resolution strategies
- Prior experience in data catalog implementation and management (e.g., Collibra, Alation, Informatica)
How to Stand Out (Preferred Qualifications):
- Proven experience in developing and implementing data policies, standards, and procedures
- Experience working with regulatory bodies and understanding compliance requirements related to data management
- Demonstrated leadership in data governance, successfully driving adoption of governance programs
- Experience with AI-driven data governance tools for automation and anomaly detection
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