Job Description
- 4+ years' experience in developing and implementing policies, processes related to Modeling, Data Engineering, Data visualization
- Preferred experience in insurance domain (Investment Strategy group)
- B.S. Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering, or other science field), Information Systems, Information Processing or engineering
- Professional certification including (but not limited to) CFA/CA/FRM (preferred but not mandatory)
- Effective communication and collaboration skills to work with various teams across the organization
- Excellent analytical and problem-solving skills
- Proficiency in using Collibra for data governance activities
- Strong hands-on with MS Suite - including MS Excel
- Experience with visualization tools like PowerBI is preferred
- Strong understanding of data management concepts, data quality, and data governance frameworks
- - Knowledge of data regulations and compliance requirements (e.g., GDPR, HIPAA) is a plus
- - Data certifications related to Collibra or data governance are advantageous
- - Previous experience in a data governance role is preferred
Job Responsibilities
- Collaborate with various business units to define and implement data governance policies, standards, and procedures
- Utilize Collibra to create and manage a centralized data governance repository/data catalogue, capturing data definitions, ownership, and lineage
- Monitor and enforce data quality rules and data stewardship activities within Collibra
- Perform data profiling and analysis to identify data quality issues and recommend solutions
- Conduct data lineage tracking to ensure data traceability and compliance with data regulations
- Support data cataloging efforts, tagging and classifying data assets within Collibra for easy discoverability
- Work closely with data stewards and data owners to resolve data-related issues and escalations
- Assist in creating data governance reports and dashboards within Collibra or other visualization tools to provide insights into data health and compliance
- Streamline data quality concerns by monitoring data pipelines, developing necessary data checks and implementing DQ standard methodologies for enhancing data quality
- Stay updated on industry best practices and emerging trends in data governance, data quality and apply them within the organization
Location
Remote