Head - Advisory (Data/AI)

Roles & Responsibilities:

• Strong expertise in Data & AI strategy, including Data Governance, Advanced Analytics, AI/ML, and Generative AI.


• Knowledge of enterprise data platforms, cloud ecosystems, and AI technologies (e.g., Azure, AWS, Google Cloud).


• Executive stakeholder management skills with the ability to influence C-level decision-makers and board-level audiences.


• Ability to design and commercialize Data & AI offerings, frameworks, and go-to-market solutions.

Skills:

• Strong expertise in Data & AI strategy, including Data Governance, Advanced Analytics, AI/ML, and Generative AI.


• Knowledge of enterprise data platforms, cloud ecosystems, and AI technologies (e.g., Azure, AWS, Google Cloud).


• Executive stakeholder management skills with the ability to influence C-level decision-makers and board-level audiences.


• Ability to design and commercialize Data & AI offerings, frameworks, and go-to-market solutions.

Experience:

• Minimum 15+ years of overall professional experience, or 8+ years of directly relevant D&AI Advisory / Consulting experience in technology consulting, digital transformation, or Data & AI advisory.
• Minimum 5 years in leadership role managing Data/AI practice or similar technology unit.
• Experience in the GCC/Qatar market with established client relationships and a strong understanding of market dynamics and client needs.
• Experience delivering large-scale Data Strategy, Enterprise Data Platform, AI Transformation, or Generative AI programmes at Tier-1 organizations.
• Track record of practice/business unit growth and market expansion.
   

Technical Skills:

• Data Strategy & Operating Model Design
• Data Governance & Regulatory Compliance
• AI Transformation & Adoption Frameworks
• Cloud AI Platforms (Azure / AWS / GCP)
• Generative AI & Advanced Analytics

Strategic Skills:

• Drive the development and conversion of a robust pipeline into sustainable and measurable revenue outcomes.
• Lead executive-level client engagements from problem definition through to solution design and value realization.
• Design, refine, and continuously evolve Data & AI advisory offerings in alignment with market demand and technological advancements.
• Mentor and develop consulting talent while strengthening long-term strategic client relationships and account growth.
• Define and execute the long-term vision and strategic direction for the Data & AI Advisory practice, ensuring alignment with organizational objectives.
• Position the organization as a trusted advisor for Data & AI transformation across government and enterprise sectors.
• Identify emerging trends in AI, Generative AI, data governance, and advanced analytics, translating them into differentiated and scalable consulting offerings.
• Shape and lead large-scale transformation programmes, influencing C-level stakeholders on Data & AI strategy and execution.
• Establish and expand strategic partnerships with key technology vendors and ecosystem stakeholders to enhance market reach and capabilities
• Drive strategic account expansion through structured growth plans and multi-year client engagement roadmaps.
• Define compelling value propositions, go-to-market strategies, and industry-specific advisory solutions.
• Own and deliver against practice-level KPIs, including revenue growth, profitability, and market positioning.
• Champion thought leadership by contributing to whitepapers, executive briefings, industry forums, and client workshops

Operational Skills:

• Lead the end-to-end delivery of Data & AI advisory engagements, ensuring high-quality outcomes, adherence to timelines, and strong client satisfaction.
• Own and manage full P&L responsibilities for the advisory function, including budgeting, financial forecasting, and margin optimization.
• Drive business development execution by leading proposal development, RFP responses, and supporting commercial negotiations.
• Translate strategic advisory offerings into structured delivery frameworks, methodologies, and reusable toolkits to ensure consistent execution.
• Oversee resource planning and workforce utilization, ensuring optimal allocation of skills and effective capacity management across engagements.
• Attract, recruit, and retain high-calibre Data & AI consulting professionals to build a high-performing advisory team.
• Provide structured mentoring, coaching, and performance management to develop team capabilities and leadership bench strength.
• Collaborate cross-functionally with sales, engineering, and delivery teams to ensure seamless and integrated solution execution.
• Establish and enforce robust governance, risk management, and compliance frameworks across all advisory engagements.
• Drive knowledge management practices, including the development and reuse of intellectual property, assets, and best practices.
• Monitor and report on key performance metrics, ensuring alignment with financial, operational, and strategic objectives.

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.

Behavioural Skills:

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 management consulting, Data & AI, or digital transformation are advantageous

Language Requirement:

• Arabic (preferred)
• English (madatory)