Senior Manager | Engineering AI & Data | AI & Data | Data Modernization (GPS) | KSA📣 Job Ad
| Contract Type | Full-time | |
| Workplace type | On-site | |
| Location | Riyadh |
About the Role
Deloitte is seeking a Senior Manager to join its AI & Data practice, focusing on Data Modernization within the Private Sector. This full-time position is based in Riyadh, Saudi Arabia. As part of a leading professional services firm, you will contribute to solving complex client challenges and driving sustainable growth. Deloitte is recognized for its commitment to excellence, having received awards such as Best Employer in the Middle East and Best Consulting Firm.
This role requires a leader capable of translating business and technical requirements into custom end-to-end architectures, with an emphasis on modernizing traditional data platforms using concepts like Agentic AI. You will be responsible for architecting comprehensive Agentic AI solutions, ensuring robust governance and orchestration components are integrated. The position demands a combination of technical expertise, an understanding of business operations, and strong leadership skills to ensure client success and foster a collaborative culture.
Key Responsibilities
- Translate business and technical requirements into custom end-to-end architectures aligned with client needs.
- Modernize traditional data platform architectures using concepts such as Agentic AI.
- Architect end-to-end Agentic AI solutions, including the necessary governance and orchestration components.
- Lead multiple large-scale data platform implementations, particularly within the public sector.
- Prepare data engineering pipelines utilizing tools and platforms including Informatica, Talend, Pentaho, T-SQL, Python, Spark, or cloud hyperscalers (AWS, Azure, GCP, Oracle OCI).
- Design and maintain physical data models for data warehouses (dimensional models) and operational databases (relational models).
- Design and implement real-time and event-based data engineering pipelines.
- Design and implement data ingestion pipelines from diverse sources such as APIs, Web Services, Databases, Streams, Files, and Object Storage.
- Design and implement slowly changing dimensions.
- Orchestrate multiple data engineering pipelines based on data source and business requirements.
- Manage the end-to-end deployment of data engineering pipelines using appropriate DevOps practices and tools.
- Conduct data source analysis, source-to-target mapping, and transformation rule design and definition.
- Collaborate with data scientists, data engineers, and business stakeholders to understand requirements and translate them into technical solutions.
- Apply data quality frameworks and rules within data engineering pipelines.
- Perform performance tuning and optimization of data processing and analytics workflows for efficiency and scalability.
- Produce high-quality work products and collaborate to deliver a superior client experience.
- Understand business functions, sector trends, and their impact on client businesses.
- Identify opportunities to enhance the efficiency and effectiveness of key business processes.
- Select appropriate data collection and analysis methods, and develop informed recommendations to support client business strategy.
- Maintain composure in conflict and sensitive situations, escalating issues as appropriate.
- Organize insights and present recommendations with a logical flow.
- Apply awareness of global trends to address client needs and enhance recommendations.
- Utilize a global and diverse perspective in problem-solving.
- Address client business challenges at the intersection of process and technology.
- Understand the broader business environment and how analytics can support strategic initiatives.
- Recognize and apply appropriate analytical techniques to address client challenges with rigor.
- Embrace and practice Deloitte's purpose and values.
- Develop professionally by seeking growth opportunities, sharing knowledge, and acting as a brand ambassador.
- Seek opportunities to challenge oneself and team members, collaborate across businesses and borders, and take accountability for results.
- Build relationships and communicate effectively to positively influence peers and stakeholders.
- Understand client and Deloitte objectives, align personal work accordingly, and set priorities.
Qualifications and Requirements
- Undergraduate or Postgraduate Degree in Computer Science, Mathematics, or a related Science Major.
- A minimum of 10 years of professional experience is required.
- Experience in the public sector is mandatory.
- 6-10 years of hands-on Data Engineering & Architecture experience, including designing and implementing data engineering pipelines, ETL frameworks, physical data models (dimensional and relational), data pipeline orchestration, and related activities.
- Proficiency in written and spoken English.
- Ability to manage multiple tasks and responsibilities in a deadline-oriented environment with flexible work hours.
- Willingness to travel across the GCC region (approximately 75% of the time).
Required Skills
- Data Modernization
- Agentic AI
- Data Management
- Data Platform Architectures
- Data Governance
- Data Engineering Pipelines
- ETL Frameworks
- Proficiency with tools and platforms such as Informatica, Talend, Pentaho, T-SQL, Python, Spark, AWS, Azure, GCP, Oracle OCI.
- SQL
- Experience with Iceberg, Delta Tables, Hadoop.
- Data Models (Dimensional and Relational)
- Real-time Data Engineering
- Event-based Data Engineering
- Data Ingestion (APIs, Web Services, Databases, Streams, Files, Object Storage)
- Slowly Changing Dimensions
- Data Pipeline Orchestration
- DevOps practices
- Data Source Analysis
- Source to Target Mapping
- Transformation Rule Design
- Data Quality Frameworks
- Performance Tuning and Optimization
- Analytics Workflows
- Understanding of Business and Technical Requirements
- End-to-end Architecture Design
- Communication and People Skills
- Teamwork
- Problem-solving
- Leadership
- Data Analysis
- Administrative and Numeracy Skills
Additional Information
This is a full-time position based in Riyadh, Saudi Arabia. An Arabic speaker is preferred. Experience within a Big Four firm or a Global System Integrator is considered a plus. Arabic language proficiency is also a plus. Professional certifications in any of the mentioned tools or platforms will be advantageous.
Requirements
- Requires +10 Years experience
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