Senior Manager – Data & AI Architecture

Job description / Role

Employment: Full Time

Role Description:

• Define and implement enterprise-wide data architecture strategies, ensuring scalability, performance, and security.
• Develop data models, pipelines, and storage solutions that support structured, semi-structured, and unstructured data.
• Ensure alignment between data architecture, analytics, AI/ML models, and business intelligence (BI) platforms.
• Drive the adoption of data lakehouse, cloud data platforms (Azure Synapse, AWS Redshift, Google BigQuery), and distributed computing frameworks.
• Work closely with data engineering and analytics teams to optimize data pipelines and transformations.

• Lead the design and implementation of cloud-based data solutions, ensuring seamless integration with enterprise applications.
• Define best practices for data ingestion, ETL/ELT, and real-time data streaming (Kafka, Spark, Databricks, etc.).
• Ensure interoperability between on-premise, hybrid, and multi-cloud data environments.
• Optimize data storage, processing, and retrieval across cloud platforms, improving cost efficiency and performance.

• Implement data governance frameworks, ensuring compliance with GDPR, HIPAA, ISO 27001, and other regulatory standards.
• Define metadata management, data lineage, and data cataloging best practices.
• Work with security teams to enforce data access controls, encryption, and role-based access management (RBAC).
• Ensure data quality and integrity across the organization’s analytical and AI platforms.

• Develop and maintain enterprise data integration frameworks, enabling smooth data exchange between systems.
• Lead API-driven data integrations, event-driven architectures, and message queues for real-time data movement.
• Establish data fabric and data mesh approaches, enabling a scalable, decentralized data ecosystem.
• Work closely with business units, AI teams, and application developers to provide accessible, high-quality data.

• Support AI and ML model development by ensuring high-quality data availability.
• Define data architecture principles that optimize AI pipelines and feature engineering processes.
• Work with AI engineers to deploy and operationalize AI models in cloud and edge environments.
• Ensure efficient data versioning, feature stores, and reproducibility frameworks for AI workflows.

• Lead a team of data architects, data modelers, and data integration specialists.
• Foster a culture of data-driven decision-making and continuous learning.
• Develop training programs and best practices for data architecture governance, performance optimization, and security.
• Collaborate with cross-functional teams, including Data Science, Engineering, and Business Intelligence teams.

Requirements:

• Bachelor’s or master’s degree in computer science, Data Engineering, or related field.
• 10+ years of experience in data architecture, big data engineering, or cloud data solutions.
• Proven expertise in Azure, AWS, and/or Google Cloud-based data ecosystems (with certifications, Azure required).
• Experience with data modeling tools, metadata management, and data governance platforms.
• Strong understanding of data mesh, data fabric, and decentralized data architectures.
• Background in leading and managing data architecture teams in enterprise environments.
• Familiarity with BI/analytics tools such as Power BI, Tableau, or Looker.
• Experience in supporting AI/ML workflows with structured, high-quality data pipelines

About the Company

Solutions+, is a wholly owned subsidiary of Mubadala Investment Company.

Established 10 years ago, we are the leading UAE shared services company offering a range of solutions from finance, human resources, IT, procurement, facilities, and sustainability.

Solutions+ portfolio of brands cover various service sectors across the UAE including sports and entertainment, in addition to business processes and ESG.

Our vision is to drive value, for our clients and our nation, by providing world-class business performance solutions. Leveraging our deep knowledge and expertise, sustainable processes, and cutting-edge technologies, we offer direct management and counsel across vital infrastructure functions, from operations to digital services.

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