Manager - BI Engineer.TECH-One Data RBG, UAE.MIT

We are seeking a talented and experienced Manager - BI Engineer to lead our Data Quality Program. This role is integral to our TECH-One Data RBG, UAE department, as it ensures the accuracy and reliability of data across business, compliance, risk, finance, and international banking functions. The incumbent will play a pivotal role in implementing, monitoring, and reporting on Critical Data Elements (CDEs), while also aligning with Data Governance policies and regulatory requirements.

Responsibilities

• Lead the enterprise-wide Data Quality Program, driving initiatives and strategies.
• Implement and oversee the monitoring and reporting of Critical Data Elements (CDEs).
• Ensure compliance with Data Governance policies and regulatory standards.
• Collaborate with business, compliance, risk, and finance teams to understand data requirements.
• Identify and address data quality issues, implementing effective remediation plans.
• Develop and maintain data quality metrics and reporting frameworks.
• Stay updated with industry best practices and emerging technologies in data management.
• Provide expertise and guidance to team members on data-related matters.
• Foster a data-driven culture and promote the importance of data quality across the organization.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in data engineering, data quality, or a similar role.
• Proven track record in leading and implementing data quality programs.
• Strong knowledge of data governance principles and regulatory requirements.
• Experience with data management tools and technologies (e.g., ETL, data warehousing).
• Excellent analytical and problem-solving skills.
• Ability to communicate complex data concepts to both technical and non-technical stakeholders.
• Familiarity with data quality frameworks and methodologies.
• Strong leadership and team management skills.
• Willingness to stay updated with industry trends and advancements in data management.