Key Accountabilities

• Develop Data Governance policies around: data lifecycle, data retention, model governance, regulatory reporting, business reporting, data documentation, data quality, metadata management, data classification.
• Ensure Data Governance policies are addressed to responsible units: business, IT, Operations, Risk, Compliance.
• Develop Data Governance metrics and monitor them.
• Make sure Data Governance KPI’s are met within assigned domain.
• Document Data Assets in Data Catalog, ensure Data Lineage is accurate.
• Discover and document data in Source Systems. Assist Data Architects in developing Data Models.
• Communicate with Source system owners, Project Management Office, Data Team and Business units to ensure documentation in Data Catalog is correct and up to date.

Skills

Other Accountabilities

• Business Analytics
• Data Quality
• Strong analytical and problem-solving skills and attention to details
• Software and Tools knowledge
• SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries)
• Python – Basic Automation
• Knowledge (at least one of) DQ platforms is a plus: IBM WKC+DataStage, Ataccama DQ, Infomatica DQ Platform

Required Experience

• Experience either with Technical Stack mentioned and/or one of the Business domains within bank – Retail/Wholesale/Risk/Finance/Compliance etc.
• Understanding of the process of creating the reporting.
• Experience in Finance/Banking is a plus
• Experience with data governance and data quality tools is a plus

Competencies

• Adaptability/Flexibility
• Creativity/Innovation
• Decision Making/Judgment
• Dependability
• Initiative
• Integrity/Ethics
• Problem Solving/Analysis

Skills

• Ability to interact with internal and external stakeholders
• Ability to work under pressure
• Accuracy and attention to detail

Education

• Bachelor’s degree in Computer Science or equivalent