Assistant Manager Data and AI

Job Description – AI Strategy & Governance We are seeking a high-performing Personnel to join our AI Strategy & Governance practice. This role will lead client engagements focused on assessing AI maturity, defining target-state capabilities, and designing scalable AI operating models. The ideal candidate combines strategic thinking, strong stakeholder management, and a deep understanding of AI governance, risk, and enterprise transformation. Key Responsibilities Client Engagement & Delivery - Lead end-to-end delivery of AI strategy and governance engagements across industries - Conduct AI maturity assessments across dimensions such as data, technology, talent, governance, and processes - Define target-state AI maturity models aligned with business strategy and value realization - Design and implement enterprise AI operating models (centralized, federated, hybrid) - Develop AI roadmaps, including prioritized use cases, capability build-out plans, and investment strategies AI Governance & Risk - Establish AI governance frameworks, including policies, standards, and controls - Advise clients on responsible AI, model risk management, and regulatory compliance - Define processes for AI lifecycle management (development, deployment, monitoring, retraining) - Support implementation of AI risk and control frameworks aligned with global standards Stakeholder Management - Engage with senior client stakeholders (C-suite, business leaders, IT, risk, compliance) - Facilitate workshops to align on AI vision, strategy, and operating model design - Translate complex AI concepts into business-relevant insights and recommendations Practice Development - Contribute to development of AI strategy & governance offerings, methodologies, and thought leadership - Support business development activities, including proposals, client pitches, and solution shaping - Mentor and coach junior team members Key Skills - Strong understanding of AI maturity models, operating models, and governance frameworks - Knowledge of responsible AI principles (fairness, explainability, transparency, accountability) - Experience with AI risk management, model governance, and regulatory considerations - Ability to bridge business strategy and technical implementation - Strong project management and team leadership experience - Excellent communication and executive presentation skills - Ability to manage multiple stakeholders and complex engagements - Proven ability to work in fast-paced, ambiguous environments Qualification - Native Arabic speaker; fluent in reading, writing & speaking both Arabic & English - Bachelor’s degree in Business, Technology, Data Science, Engineering, or related field - MBA or advanced degree preferred. - 6–10 years of experience in consulting, with a focus on AI/analytics strategy, digital transformation, or technology advisory - Proven experience delivering 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 (e.g., EU AI Act, model risk guidelines) - Certifications in AI, data, or risk management (e.g., PMP, CISM, or equivalent)

• Data Manager (Remote)

  Hire Feed · United Arab Emirates

• Data Entry Specialist Assistant - Remote

  PULSE · Ajman, Ajman Emirate, United Arab Emirates

• MECHANICAL COMMISSIONING ENGINEER (DATA CENTER)

  Duncan & Ross Consulting · Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

• Data Scientist (Remote)

  Hire Feed · United Arab Emirates

• Data Entry Specialist Assistant - Remote

  PULSE · Dubai, Dubai, United Arab Emirates

• CID Data Entry Agent

  Novotel Hotels · Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates