Senior Manager – IT Data Engineering, flydubai

Responsibilities:

• Develops and implements a comprehensive data strategy aligned with organizational goals and objectives.
• Defines data engineering and analytics roadmaps, outlining key milestones and initiatives to drive data-driven decision-making.
• Designs and implements robust and scalable data pipelines, ETL processes, and data warehouses, ensuring reliability, performance, and security.
• Collaborates with cross-functional teams to understand data requirements and design appropriate solutions.
• Drives data analytics initiatives to uncover insights, trends, and opportunities for business optimization.
• Utilizes advanced analytical techniques to extract insights from large and complex datasets, identifying trends, patterns, and correlations.
• Establishes and enforces data governance policies and procedures, ensuring compliance with data protection regulations and industry standards.
• Implements best practices for data quality, integrity, and security, monitoring and enforcing data privacy and security measures.
• Conducts regular audits and assessments to identify and mitigate risks related to data management and usage.
• Develops and executes the organization’s AI strategy, aligning it with business objectives and overseeing the development and deployment of machine learning models and algorithms.
• Leads the development and implementation of machine learning models, algorithms, and AI systems, exploring innovative approaches to solving business problems.
• Defines key performance indicators (KPIs) to measure the effectiveness of data science and AI initiatives, monitoring and analyzing performance metrics to identify areas for improvement.
• Ensures continuous process improvement and optimization, staying informed about advancements in data engineering and AI, and recommending new tools and technologies.
• Builds, mentors, and leads a team of data and machine learning engineers, and AI specialists, providing guidance, support, and professional development opportunities.
• Monitors and enforces data privacy and security measures to protect sensitive information and ensures compliance with data protection regulations and industry standards.

Requirements & Skills:

• Bachelor’s Degree (3+ years)
• Information Technology, Computer Science, Data Science, or related fields.
• Certified on cloud platforms (e.g., AWS, Azure, GCP).
• Industry certifications in data engineering and AI.
• Project Management and SAFe certifications
• Minimum 10 years experience with strong technical expertise in data engineering & visualization tools, databases, and AI frameworks.
• Experience in developing and implementing strategies in a data-driven organization.
• Deep understanding of data governance, compliance, and security best practices.
• Excellent understanding of machine learning concepts and algorithms and leading AI strategy execution, overseeing development and deployment of machine learning models.
• Expertise in cloud platforms (AWS, Azure, or GCP), data engineering, Artificial Intelligence (AI), Project Management, and SAFe Agile methodologies.