VP Data Governance & Quality

VP Data Governance & Quality

Requirements

• Bachelor’s or Master’s degree in computer science, Information Technology, Data Management, or a related field.
• 5 + years of hands-on experience in MDM systems integration, Reference Data Management, data integration, data governance systems, with a proven track record of successful project implementations involving Reltio and Alation or Collibra, in large scale data management and business transformation.
• Proficiency in data integration technologies, ETL/ELT processes, data mapping tools, and MDM platforms like Reltio, Informatica MDM, Reference Data Management, or similar.
• General understanding of data warehousing concepts and ETL tools.
• Working Knowledge of Data Governance Frameworks DCAM and DAMA/PMBOK and Data Management and Stewardship Concepts.
• Experience with Building and Maintaining Governance Metrics and Measurements, Risk and Controls, Process and Procedures.
• Hands-on Experience with Ms Office (Word, Powerpoint, Excel), Building and Maintaining SQL Queries and Tableau.
• Experienced and Knowledgeable in Master and Reference Data Concepts, Data Modeling, Data Quality Management and Data / Report Certifications.
• Familiarity with data governance principles, data quality management, and data stewardship practices.
• Able to read and understand DDL and DML’s.
• Ability to query and analyze data anomalies. Ability to isolate issues and identify root cause.
• Able to write complex SQL queries & complex data structures across all levels.
• Excellent communication and interpersonal skills to work with technical and non-technical stakeholders and convey complex concepts in a clear manner.
• Leadership experience establishing data fluent organization through designing and delivering effective data governance and quality training and change management programs.
• Demonstrated capability to lead and manage cross-functional teams, fostering collaboration, and achieving high-performance outcomes; proven ability to lead and manage change initiatives while driving organizational transformation.

Responsibilities

• Partner with business stewards/business stakeholders on source systems to govern and manage data at system of records/source systems.
• Be a stakeholder and owner on key decisions made at system of records and act as an approving authority to assess risk and impact to downstream consumers and EDH.
• Establish Data Governance and Data Quality as an authority at Global Atlantic.
• Design and manage robust data warehousing governance solutions to support our businesses (Retail, Reinsurance, Investments, Finance, Risk, Legal and Compliance, and other functions) so high-quality data is available for business consumption.
• Engage on strategic initiatives across Retail, Institutional, and Investment business so Data Governance and Data Quality is integral to execution versus an afterthought.
• Partner with head of Enterprise Data Hub (EDH) to lead the strategic planning of data management initiatives.
• Provide thought leadership on advanced data processing techniques to handle large-scale data efficiently and data supply chain.
• Ensure the integrity and security of data through state-of-the-art data governance practices.
• Collaborate with IT teams to integrate new data management technologies and tools.
• Drive innovation in data analytics and modeling to support predictive analytics and machine learning efforts.
• Define KPI’s and KRI’s and actively report on these.
• Be an active voice at various committees as need be to represent Data and steer active ownership to forward Data Governance and Data Quality at Global Atlantic.

Preferred Qualifications

No preferred qualifications provided.