Assistant Vice President – Technology, Data Management
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Job Description
Assistant Vice President leading data strategy, architecture, and engineering for Mashreq Global Services' retail banking systems. Designing pipelines, data lakes, and regulatory reporting applications across global markets.
Responsibilities:
- Design and maintain data pipelines for real-time and batch data processing.
- Create and implement data strategy, architecture, and best practices.
- Lead the organization in making strategic improvements to data engineering solutions.
- Apply strong understanding of core systems and retail banking operations.
- Manage and optimize data-intensive systems across UAE, Egypt, Pakistan, and other markets.
- Develop new requirements for on-premises and cloud data lakes.
- Estimate efforts, design solutions, and manage data architecture for efficient data management.
- Handle change release management and resource allocation for data projects.
- Deliver critical applications influencing bank management decisions and regulatory reporting.
- Ensure data security and compliance with relevant regulations.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in data engineering, with a proven track record in leading data strategy and architecture.
- Expertise in core systems, retail banking systems, and data-intensive applications.
- Strong knowledge of Enterprise Data Lake, Azure Data Lake, and other relevant data platforms.
- Experience with business intelligence, advanced analytics, and real-time streaming platforms.
- Excellent leadership and communication skills to guide and collaborate with cross-functional teams.
- Ability to estimate efforts, design effective solutions, and manage resources efficiently.
- Understanding of data security and compliance regulations in the banking industry.
- Analytical mindset with a problem-solving approach to complex data challenges.
- Willingness to stay updated with the latest trends and technologies in data management.
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