Data Governance Expert
2 weeks ago
We are seeking a highly skilled Data Governance Expert to join our team at F3328 FTIS (India) Pvt Ltd, FT Park Hyd Branch. As a key member of our organization, you will play a crucial role in establishing and maintaining data standards, ensuring the accuracy and consistency of our data assets.
ResponsibilitiesGovernance and Stewardship
- Develop and maintain data governance policies, procedures, and best practices to support data quality and integrity.
- Perform impact analysis of regulatory, business, and system changes to data governance and data management programs and initiatives.
Reporting and Analysis
- Oversee the execution of process improvements, revisions to documentation, training, and communication materials to support data governance.
- Responsible for creating enterprise and LOB level KPIs and metrics related to data governance.
Training and Support
- Develop business-oriented training materials for data owners, Business Stewards, and key constituents.
- Ensure training materials are current and lead the execution of any changes.
- Provide training on data governance to various audiences.
Data Management Specialization
- Serve as an expert in data governance to business and technology colleagues.
- Have strong industry awareness of best practices within data governance and conduct research on trends and methods to mature data governance.
- Plan and execute programs and initiatives to mature data governance across the enterprise.
Education and Experience
- Bachelor's Degree or equivalent experience.
- Typically has 8-12 years related experience.
Key Skills and Qualifications
- Champion enterprise adoption of data quality framework by maturing adoption, measuring, and improving data health.
- Sound knowledge on RDMS systems like Oracle, MS SQL, and Snowflake.
- Ensure critical datasets are trusted and onboarded to DQM framework.
- Support data programs related to migrations, analytics, regulatory reporting with analysis, sourcing, and availability.
- Define and negotiate appropriate data validation controls and drive iterative data remediation efforts between data producers and consumers.
- Build reliable and scalable data quality solutions.
- Design KPIs and monitor data quality within enterprise repositories to identify trends; generate reports and dashboards with actionable insights.
- Develop communication and reference materials that facilitate education and adoption of DQM framework.
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