Senior Manager - Data Science & AI

flydubai; Dubai; On-site; AED 500,000 - 800,000; Full time

Job summary

flydubai seeks a senior leader to define and drive the enterprise data strategy, harnessing analytics, ML, and AI to create insights, predictive models, and scalable AI across products and services.

You will mentor data and ML engineers, partner with product and business teams, and ensure responsible, compliant AI with measurable ROI, aligning AI initiatives with airline objectives.

Qualifications

• Bachelor's degree in IT/CS/Data Science or related field.
• Fluent in English.
• 10-12 years of experience with AI/ML in enterprise-scale environments.
• Experience in regulated industries (airline) preferred with ethical AI practices.

Responsibilities

• Leads development and implementation of ML models, algorithms, and AI systems.
• Drives continuous process improvement and evaluates new AI tools.
• Builds and mentors a team of data and ML engineers and AI specialists.
• Develops and executes the organization’s data science and AI vision.
• Identifies and implements AI/ML solutions to enhance products and operations.
• Establishes frameworks for responsible, explainable AI in compliance with regulations.
• Partners with product owners to align AI initiatives with business goals.
• Monitors AI research advances and applies them to maintain competitive advantage.
• Defines KPIs and ROI for AI initiatives and ensures value delivery.
• Acts as data translator between technical and business domains.

Skills

Machine learning concepts

Algorithms

Statistical modeling

AI productization

Explainable AI

Regulated industries knowledge

English fluency

Education

Bachelor's degree in Information Technology, Computer Science, Data Science, or related field

Bachelor's degree or higher in IT/CS/Data Science

Job description

MAIN OBJECTIVE OF ROLE

To define and drive the enterprise strategy for extracting business value from data by leveraging advanced analytics, machine learning, and artificial intelligence to generate insights, develop predictive models, foster AI innovation, and integrate ethical and scalable AI into products, services, and decision-making processes that deliver competitive advantage.

KEY RESPONSIBILITIES

• Leads the development and implementation of machine learning models, algorithms, and AI systems and explores innovative approaches to solving business problems using AI technologies.
• Drives continuous process improvement and optimization. by staying informed about advancements in data engineering and AI, recommending new tools and technologies.
• Builds, mentors, and leads a team of data and machine learning engineers, and AI specialists by providing guidance, support, and professional development opportunities to team members.
• Develops and executes the organization’s data science and AI vision, ensuring alignment with business objectives and measurable outcomes.
• Identifies, designs, and implements AI and machine learning solutions that enhance products, services, and operational efficiency.
• Establishes frameworks for responsible, explainable, and bias-free AI use in compliance with regulations and ethical standards.
• Partners with product owners, business leaders, and data engineering teams to ensure AI initiatives are integrated, scalable, and business-driven.
• Monitors advances in AI research, tools, and technologies, proactively applying them to maintain competitive advantage.
• Defines KPIs and track ROI for AI initiatives to ensure value delivery and continuous improvement.
• Acts as a "data translator," bridging technical and business domains to convert complex challenges into actionable AI-driven outcomes.

QUALIFICATIONS

• Bachelor's Degree (3+ years)
• Degree in Information Technology, Computer Science, Data Science, or related field
• Fluent in English
• Deep understanding of data governance, compliance, and security best practices. Excellent understanding of machine learning concepts and algorithms. Proven track record of delivering AI solutions from concept to production at enterprise scale. Strong background in statistical modeling, machine learning, deep learning, and AI productization. Demonstrated success in translating business strategy into AI-driven initiatives with measurable ROI. Experience in regulated industries (e.g., Airline) preferred, with a strong understanding of ethical and compliant AI practices.
• Years with qualifications: 10 - 12 years
• Google Professional Machine Learning Engineer, AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate are an advantage

COMPETENCIES

• Customer Focus
• Teamwork
• Effective Communication
• Personal Accountability & Commitment to achieve
• Resilience & Flexibility (Can do attitude)
• Decision Making
• Inspiring & Developing Others
• Strategic Thinking
• Business Acumen

ISR REQUIREMENTS

Reads and complies with the ISR policies of the Company and diligently reports any weakness or incidents to the respective Line Manager or the Information Security team. Completes all required ISR awareness sessions and follows associated guidelines in the day-to-day business operations.