Qureos Mentor

Ejadah Management Consultancy

<div>
 
 
 Key Responsibilites:
 
 
 
 Lead the end-to-end
 
 AI delivery function
 
 , ensuring consistent, high-quality execution across multiple squads and business domains
 
 <ul>
 <li>
 Oversee the
 
 full lifecycle of AI initiatives
 
 , from use case identification and prioritization through to deployment, scaling, and continuous optimization
 </li>
 <li>
 Establish and institutionalize
 
 delivery governance frameworks
 
 , including clear operating models, performance cadence, and accountability structures
 </li>
 <li>
 Build and lead
 
 high-performing, cross-functional teams
 
 , including engineering, data science, and product, operating through layered leadership
 </li>
 <li>
 Define and implement
 
 scalable AI platform architectures
 
 , enabling reuse, interoperability, and efficient deployment across the enterprise
 </li>
 <li>
 Drive the adoption of
 
 enterprise-grade MLOps standards
 
 , including CI/CD pipelines, model versioning, automated testing, and controlled release processes
 </li>
 <li>
 Ensure robust
 
 AI lifecycle management and model governance
 
 , including monitoring, drift detection, retraining strategies, and incident management protocols
 </li>
 <li>
 Standardize delivery through
 
 platform-based approaches
 
 , including shared data pipelines, reusable components, and consistent model serving patterns
 </li>
 <li>
 Collaborate closely with business and technology leadership to ensure
 
 alignment between AI delivery and strategic priorities
 
 </li>
 <li>
 Define and track
 
 key performance indicators
 
 related to delivery efficiency, model performance, and business value realization
 </li>
 <li>
 Ensure adherence to
 
 responsible AI principles
 
 , including auditability, transparency, and regulatory alignment
 </li>
 </ul>
 
 
 
 
 
 Requirments:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline;
 
 advanced degree preferred
 
 </li>
 <li>
 Minimum of 10 years of experience in
 
 AI, machine learning, advanced analytics, or software engineering
 
 , with a strong record of delivering solutions in production environments
 </li>
 <li>
 Demonstrated success in leading
 
 large-scale AI delivery functions
 
 , including managing managers and cross-functional teams within complex organizations
 </li>
 <li>
 Deep expertise in
 
 MLOps and ML lifecycle management
 
 , including model versioning, CI/CD, monitoring, and continuous improvement practices
 </li>
 <li>
 Strong understanding of
 
 enterprise AI architectures
 
 , including data pipelines, feature stores, model serving, and hybrid cloud/on-premise environments
 </li>
 <li>
 Proven ability to design and scale
 
 platform-based AI capabilities
 
 , enabling reuse and consistency across multiple use cases
 </li>
 <li>
 Experience operating within structured environments requiring
 
 governance, controls, and auditability
 
 , preferably within regulated or large-scale industries
 </li>
 <li>
 Strong
 
 stakeholder management and communication capabilities
 
 , with the ability to engage senior leadership and translate business objectives into execution
 </li>
 <li>
 Demonstrated ability to balance
 
 strategic thinking with hands-on delivery oversight
 
 , ensuring both direction and execution excellence
 </li>
 </ul>
 
 
 
 
 
 
</div>

Ai Delivery Director

Join Ejadah Management Consultancy and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Ejadah Management Consultancy

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Ai Delivery Director