Assistant Manager Data and AI

Role Overview

Client Engagement and Delivery

• Lead end-to-end AI strategy and governance engagements across industries.
• Conduct AI maturity assessments across data, technology, talent, governance, and processes.
• Define target-state AI maturity models aligned with business strategy and value realization.
• Design centralized, federated, and hybrid enterprise AI operating models.
• Develop AI roadmaps with prioritized use cases, capability plans, and investment strategies.

AI Governance and Risk

• Establish AI governance frameworks, policies, standards, and controls.
• Advise on responsible AI, model risk management, and regulatory compliance.
• Define AI lifecycle management processes for development, deployment, monitoring, and retraining.
• Support AI risk and control frameworks aligned with global standards.

Stakeholder Management

• Engage C-suite, business, IT, risk, and compliance stakeholders.
• Facilitate workshops on AI vision, strategy, and operating model design.
• Translate complex AI concepts into business-relevant insights and recommendations.

Practice Development

• Contribute to AI strategy and governance offerings, methodologies, and thought leadership.
• Support proposals, client pitches, business development, and solution shaping.
• Mentor and coach junior team members.

Key Skills

• Understanding of AI maturity models, operating models, and governance frameworks.
• Knowledge of responsible AI principles including fairness, explainability, transparency, and accountability.
• Experience with AI risk management, model governance, and regulatory considerations.
• Ability to bridge business strategy and technical implementation.
• Strong project management, team leadership, communication, executive presentation, and stakeholder management skills.

Qualifications

• Native Arabic speaker fluent in reading, writing, and speaking Arabic and English.
• Bachelor’s degree in business, technology, data science, engineering, or a related field.
• MBA or advanced degree is preferred.
• 6–10 years of consulting experience in AI or analytics strategy, digital transformation, or technology advisory.
• Proven delivery experience in AI strategy, operating model, or governance engagements.
• Familiarity with AI/ML concepts, data ecosystems, and enterprise architecture.
• Experience working in a Big 4 or top-tier consulting firm.
• Exposure to global AI regulations and standards is advantageous.
• AI, data, or risk management certifications such as PMP or CISM are advantageous.