قائد وحدة الممارسات للبيانات والذكاء الاصطناعي

Roles & Responsibilities:

• Strong expertise in enterprise technology architecture, cloud computing, and Data & AI platform ecosystems
• Experience leading large-scale technology transformation programmes across government and enterprise sectors.
• Strong understanding of Data Governance, AI governance, cybersecurity controls, and secure AI deployment practices.
• Proven capability in developing and commercializing technology offerings, accelerators, and reusable solution frameworks

Experience:

• Minimum 15+ years of experience in enterprise technology consulting, multi-cloud architecture, data platform delivery, and AI technology.
• Minimum 6 years in leadership role managing a large managed services business along with medium to large-sized team resources.
• Deep expertise in sovereign architecture, multi-cloud strategy, Azure / AWS / GCP ecosystems, private cloud, Oracle, and Informatica platforms.
• Proven experience in cybersecurity-aligned architecture and compliance with data sovereignty and security frameworks
  

Responsibilities

Roles & Responsibilities:

• Strong expertise in enterprise technology architecture, cloud computing, and Data & AI platform ecosystems
• Experience leading large-scale technology transformation programmes across government and enterprise sectors.
• Strong understanding of Data Governance, AI governance, cybersecurity controls, and secure AI deployment practices.
• Proven capability in developing and commercializing technology offerings, accelerators, and reusable solution frameworks

Experience:

• Minimum 15+ years of experience in enterprise technology consulting, multi-cloud architecture, data platform delivery, and AI technology.
• Minimum 6 years in leadership role managing a large managed services business along with medium to large-sized team resources.
• Deep expertise in sovereign architecture, multi-cloud strategy, Azure / AWS / GCP ecosystems, private cloud, Oracle, and Informatica platforms.
• Proven experience in cybersecurity-aligned architecture and compliance with data sovereignty and security frameworks
  

Skills:

• Strong expertise in Data & AI strategy, including Data Governance, Advanced Analytics, AI/ML, and Generative AI.
• Experience leading large-scale technology transformation programmes across government and enterprise sectors.
• Strong understanding of Data Governance, AI governance, cybersecurity controls, and secure AI deployment practices.
• Proven capability in developing and commercializing technology offerings, accelerators, and reusable solution frameworks

Technical Skills:

• Sovereign Architecture & Multi-Cloud Strategy
• Enterprise Data Architecture & Informatica
• Cybersecurity Alignment & Zero-Trust Architecture
• Technology P&L & Commercial Structuring
• AI Transformation & Adoption Frameworks
• Cloud AI Platforms (Azure / AWS / GCP)
• Oracle Ecosystem & Enterprise Integration

Strategic:

• Define and own the strategic roadmap for the Technology Practice, covering sovereign architecture, multi-cloud, data platforms, AI infrastructure, and cybersecurity alignment.
• Grow revenue and expand malomatia's technology consulting footprint across Qatar's government and enterprise sectors.
• Identify, assess, and pursue emerging technology opportunities (e.g., edge AI, sovereign cloud, private LLM infrastructure, zero-trust architecture).
• Set P&L targets, build business cases for technology investment, and report practice performance to the BU Leader and Board.
• Drive revenue growth by shaping sovereign technology solutions, leading high-performing teams, governing large-scale programmes, and building trusted executive relationships across government and enterprise sectors.
• Originate and secure strategic technology advisory and solutioning engagements, lead complex RFPs and commercial structuring, and strengthen ecosystem partnerships to deliver secure, scalable, and value-driven multi-cloud solutions.
• Shape malomatia's sovereign Data & AI technology vision, ensuring offerings are aligned to Qatar's national digital agenda and regulatory frameworks.
• Advise clients on multi-cloud strategy, sovereign cloud adoption, private AI infrastructure, and enterprise data architecture decisions.
• Establish and strengthen trusted relationships with CIOs, CTOs, CISOs, and key stakeholders across strategic government and enterprise organizations in Qatar, while engaging with regulators and public sector entities on sovereign AI, data localization, and cybersecurity compliance matters.
• Develop and expand strategic partnerships with hyperscalers, technology vendors, and sovereign infrastructure providers, while collaborating closely with Advisory and Delivery teams to ensure commercially viable and client-ready technology solutions.

Operational:

• Provide executive oversight for technology architecture, platform delivery, and AI implementation engagements, ensuring successful execution and alignment with client objectives.
• Lead technical solutioning activities for major programmes, including architecture assessments, platform selection, solution design, and proof-of-concept development
• Develop and commercialize technology offerings focused on multi-cloud platforms, enterprise data ecosystems, and AI infrastructure capabilities
• Maintain and enhance the organization’s technology capability framework by identifying skill gaps and driving targeted hiring, training, and capability development initiatives
• Build and maintain reusable technical assets including reference architectures, solution blueprints, and delivery accelerators to improve efficiency and consistency.
• Establish and manage partnerships with technology vendors and training providers to strengthen technical expertise across emerging platforms & tools
• Manage critical delivery escalations and provide direct intervention to resolve complex technical and programme-related issues impacting client outcomes.
• Ensure all technology engagements comply with cybersecurity standards, data privacy regulations, and sovereign infrastructure requirements.
• Oversee resource allocation and workforce planning across Technology Practice, ensuring effective utilization of specialized talent across concurrent engagements
• Manage critical delivery escalations and provide direct intervention to resolve complex technical and programme-related issues impacting client outcomes
• Ensure all technology engagements comply with cybersecurity standards, data privacy regulations, and sovereign infrastructure requirements
• Monitor and manage practice financial performance, including billing, profitability, utilization, and cost optimization, while taking corrective action where required.
• Review and approve statements of work, resource plans, delivery models, and commercial terms for technology engagements.
• Establish and enforce governance, architecture assurance, quality control, and compliance standards across all engagements, while providing regular performance, pipeline, and capability updates to business leadership.

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.
• Relevant professional certifications in cloud platforms and enterprise architecture are highly valued.