Delivery Unit Leader, Architecture, Engineering & Platform

Roles & Responsibilities

• Strong expertise in designing and managing on-premises and hybrid cloud infrastructure, including compute, storage, networking, and enterprise platform environments.
• Deep knowledge of enterprise data and integration platforms, including Oracle systems and Informatica ETL/data management solutions.
• Proven experience in modern platform engineering, including Kubernetes, cloud-native architectures, DevSecOps, and infrastructure-as-code practices

Experience:

• •Minimum 10 years of experience in enterprise architecture, infrastructure engineering, cloud platforms, data platform delivery, or AI deployment.
• Minimum 5 years in leadership role managing Data/AI practice or similar technology unit.
• Proven track record of leading end-to-end technical delivery of complex, multi-technology programmes in mission-critical client environments.
• Experience in implementing MLOps frameworks and ensuring strong architecture governance, engineering standards, and end-to-end quality control

Responsibilities

Strategic:

• Define and govern the overall engineering strategy, delivery framework, and platform architecture standards for the Data & AI Technology practice.
• Establish and institutionalize best practices for hybrid cloud, on-premises, and sovereign platform architectures across client environments.
• Lead the continuous evolution of engineering toolchains and delivery capabilities, including DevSecOps, MLOps, and infrastructure-as-code frameworks.
• Contribute to the go-to-market strategy by productizing reusable engineering accelerators, platform blueprints, and reference architecture as client offerings.
• Partner with Technology leadership to strengthen the practice’s technical credibility and delivery excellence in support of business development initiatives.
• Act as the principal authority for enterprise architecture decisions, platform design, and AI infrastructure strategies across client engagements.
• Lead architecture governance forums and technical review boards for major programmes, ensuring alignment with standards and best practices.
• Ensure all solution architectures are designed with scalability, security, resilience, and long-term operational sustainability in mind.
• Drive engineering innovation through the adoption of emerging technologies such as Kubernetes, edge computing, and sovereign AI platforms.
• Oversee the continuous improvement of platform engineering practices to enhance delivery efficiency, standardization, and reusability across engagement

Operational:

• Lead end-to-end engineering delivery across architecture, infrastructure, data platforms, and AI deployment programmes, ensuring execution excellence and client satisfaction.
• Govern technical delivery standards across on-premises, hybrid cloud, and multi-cloud environments, ensuring alignment with defined quality and performance benchmarks.
• Manage engineering teams and ensure effective delivery of platform, infrastructure, and architecture solutions across concurrent client engagements.
• Implement and enforce DevSecOps, MLOps, and platform engineering standards across all projects to ensure consistency, automation, and security compliance.
• Provide hands-on technical leadership to resolve critical engineering and infrastructure issues and manage escalations across delivery engagements.
• Lead the design, deployment, and optimization of enterprise data platforms, including Oracle, Informatica, and cloud-native data ecosystems.
• Oversee infrastructure delivery across compute, storage, networking, and Kubernetes environments to ensure scalable and high-performance systems.
• Ensure platform resiliency through proactive capacity planning, performance optimization, and regular disaster recovery testing.
• Enforce platform security standards in alignment with cybersecurity frameworks, regulatory requirements, and sovereign data policies.
• Lead, develop, and mentor a multidisciplinary team of architects, engineers, platform specialists, and MLOps practitioners.
• Define technical competency frameworks and career development pathways, ensuring continuous upskilling and capability building within the team.
• Manage resource planning and allocation across engagements to optimize utilization and ensure effective delivery execution across projects.

• Monitor engineering KPIs and enforce governance and quality assurance processes, while providing regular technical and delivery updates to senior leadership and governance forums.

  People Management:

  Culture

• Ensures the culture of the practice is aligned to the overall culture and ways of working of malomatia

  Career Planning & Development

• Track the progress and offer support for the advancement of knowledge and skills.
• Provides guidance and direction to direct reports by managing their performance through appropriate feedback, coaching and counseling.
• Provides inputs about project team members in their performance appraisal and recommendations for promotion and bonuses/incentives.
• Provides input and guidance into the project resourcing and actively participates in recruitment and retention activities.

• Supports leadership & functional capability building initiatives through training as per organization’s guidelines.

  Facilitates succession planning for critical roles within the practice unit.

  Employee Engagement

• Provides strong, dynamic leadership that mentors, develops, and guides employees to efficiently perform and achieve customer delivery excellence.
• Fosters high level of employee engagement and retention of talent
  

Qualifications

Education:

• Bachelor's degree in Engineering, Economics, Computer Science, or a related discipline.
• Master's degree (MBA, MSc) from a recognized institution is strongly preferred.

Behavioural Skills:

• Leadership & Team Development
• Customer Centricity
• Execution Excellence
• Result Orientation
• Team Management
• Attention to Detail

Language Requirement:

• Arabic (preferred)
• English (mandatory)