Senior Data Governance

Senior Data Governance

Job Description

Design and implement robust data governance frameworks and standards. Ensure high data quality, integrity, and security across all organizational data assets. Collaborate with cross-functional teams to define and enforce data governance policies. Lead data governance initiatives and projects, ensuring alignment with business objectives. Oversee data stewardship efforts and provide guidance to data stewards. Conduct regular data quality assessments and implement improvement plans. Manage data governance tools and support their effective utilization. Provide expert advice and training on data governance best practices. Monitor compliance with data governance policies and regulations. Stay current with industry trends and innovations in data governance to drive continuous enhancement.

Personal Skills

Strong communication, interpersonal, and presentation skills. Ability to multi-task and work under pressure. Excellent command of English. Excellent verbal and written communication skills; influencing skills and ability to work effectively in a geographically dispersed team.

Technical Skills

• Data Quality Tools:
o Proficiency with data quality tools such as Informatica Data Quality, Talend Data Quality, IBM InfoSphere QualityStage, or Apache Griffin.
• Data Profiling:
o Skills in data profiling techniques to assess data quality, including completeness, accuracy, consistency, and uniqueness.
• ETL Processes:
o Understanding of ETL (Extract, Transform, Load) processes and tools for data integration and transformation.
• SQL:
o Advanced SQL skills for querying and validating data to identify data quality issues.
• Data Integration:
o Experience in integrating data from various sources and ensuring quality during data movement and transformation.
• Scripting Languages:
o Knowledge of scripting languages such as Python or R for automated data quality checks and data processing.
Analytical Skills
• Data Analysis:
o Ability to analyze data to identify trends, patterns, and anomalies that impact data quality.
• Problem Solving:
o Strong skills in diagnosing and resolving data quality issues and developing corrective actions.
• Critical Thinking:
o Ability to evaluate data quality problems and determine appropriate solutions or improvements.
Quality Frameworks and Standards
• Data Quality Frameworks:
o Familiarity with data quality frameworks and best practices, such as those outlined by DAMA-DMBOK or ISO standards.
• Data Governance:
o Understanding of data governance principles, including data stewardship, data ownership, and data management policies.
Project Management
• Requirement Gathering:
o Experience in capturing and understanding business requirements related to data quality.
• Project Execution:
o Skills in managing data quality initiatives, including planning, implementation, and monitoring
Job Location Cairo, Egypt Job Role Engineering Years of Experience Min: 4 Max: 8 Job Role: Engineering Experience: 4 - 8 Years of Experience Job Role: Engineering Job Role: Engineering Experience: 7 - 12 Years of Experience Job Role: Engineering Experience: 4 - 7 Years of Experience Job Role: Engineering Experience: 4 - 7 Years of Experience Job Role: Engineering Experience: 4 - 8 Years of Experience Job Role: Engineering Job Role: Engineering Experience: 7 - 12 Years of Experience Job Role: Engineering Experience: 4 - 7 Years of Experience Job Role: Engineering Experience: 4 - 7 Years of Experience Job Role: Engineering Experience: 4 - 8 Years of Experience Job Role: Engineering