Senior Manager, AI & Data Engineering

Senior Manager, AI & Data Engineering at Deloitte

When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. Deloitte has received numerous awards, including Best Employer in the Middle East, Best Consulting Firm, and the Middle East Training & Development Excellence Award.

Deloitte makes an impact that matters. Every day, we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges, and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations, and supporting our communities.

Our shared values guide the way we behave to make a positive, enduring impact:

• Lead the way
• Serve with integrity
• Take care of each other
• Foster inclusion
• Collaborate for measurable impact

Technical Capabilities

• Ability to understand business and technical requirements and translate them into custom end-to-end architecture based on client needs.
• Ability to understand and modernize traditional data platform architectures with concepts like Agentic AI.
• Ability to architect an end-to-end Agentic AI architecture, with the required governance and orchestration components.
• Led several large implementations of data platforms across the public sector.
• Hands-on proven knowledge in preparing data engineering pipelines using tools and platforms such as Informatica, Talend, Pentaho, T-SQL, Python, Spark, or any cloud hyperscaler (AWS, Azure, GCP, Oracle OCI).
• Hands-on experience with SQL-like databases is a must. Hands-on experience with Iceberg, Delta Tables, and Hadoop will be a plus.
• Hands-on experience in designing and maintaining physical data models for data warehouses (dimensional models) or operational databases (relational models).
• Hands-on experience in designing and implementing real-time / event-based data engineering pipelines is a plus.
• Hands-on experience in designing and implementing data ingestion pipelines from various data sources such as APIs, Web Services, Databases, Streams, Files, Object Storage etc.
• Hands-on experience on designing and implementing slowly changing dimensions will be a plus.
• Hands-on experience in orchestrating multiple data engineering pipelines based on data source and business needs.
• Hands-on experience in designing and managing the end-to-end deployment of data engineering pipelines using appropriate DevOps practices and tools.
• Proven experience in conducting data source analysis, source to target mapping, and transformation rule design and definition.
• Ability to collaborate with data scientists, data engineers, and business stakeholders to understand requirements and translate them into technical solutions.
• Hands-on experience in applying data quality frameworks and rules within data engineering pipelines will be a plus.
• Ability to conduct performance tuning and optimization of data processing and analytics workflows to maximize efficiency and scalability.

Functional Capabilities

• Produce a high-quality work product and collaborate with others to deliver a superior client experience.
• Understand how business functions operate and how sector trends impact a client’s business.
• Identifies opportunities to improve the efficiency and effectiveness of key processes within a business function.
• Select appropriate methods for collecting and analyzing data, and develop informed recommendations that shape or support the client’s business strategy.
• Maintains composure through conflict and sensitive situations, escalating issues to engagement/account leadership when appropriate.
• Organize insights and define a logical flow to tell a story when presenting recommendations.
• Applies awareness of global trends to address client needs and enhance recommendations.
• Apply a global and diverse perspective to problem solving.
• Address client business challenges in the intersection of process and technology.
• Understands the broader business environment and how analytics can support the client’s overall strategic initiatives.
• Recognizes the appropriate analytical techniques to address the client challenge and applies rigor to all analytical models.

Leadership Capabilities

• Identifies and embraces our purpose and values and puts these into practice in their professional life.
• Develops self by actively seeking opportunities for growth, shares knowledge and experiences with others, and acts as a strong brand ambassador.
• Seeks opportunities to challenge self; teams with others across businesses and borders to deliver and takes accountability for own and team results.
• Builds relationships and communicates effectively in order to positively influence peers and other stakeholders.
• Understands objectives for clients and Deloitte, aligns own work to objectives and sets personal priorities.
• Excellent communication and people skills, with a strong emphasis on team working.
• Strong administrative and numeracy skills and ability to analyze complex data with good attention to details.

Required Qualifications

• Undergraduate or Postgraduate Degree in Computer Science, Mathematics, or other Science Major.
• Minimum 10 years of experience required.
• Experience in public sector is a must.
• Arabic Speaker is preference.
• 6-10 years of hands-on Data Engineering & Architecture experience designing and implementing data engineering pipelines, ETL frameworks, physical data models (dimensional and relational), data pipeline orchestration and other data engineering related activities as per technical capabilities on the previous section.
• Good command of written and spoken English.
• Ability to handle multiple tasks and responsibilities in a deadline-oriented environment and flexible work hours.
• Willingness to travel across GCC region (75% of time).

Additional Preferred Qualifications

• Experience in Big Four or Global System Integrators is a plus.
• Arabic language is a plus.
• Professional Certification in any of the above-mentioned tools or platforms will be a plus.

Key skills/competency

• Data Engineering
• AI Architecture
• Data Modernization
• Agentic AI
• ETL Frameworks
• Cloud Platforms (AWS, Azure, GCP)
• Data Modeling
• DevOps Practices
• Data Quality
• Public Sector Consulting