Director Data And AI

ManpowerGroup Middle East; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

ManpowerGroup Middle East is seeking a Director - Data & AI to drive healthcare technology innovation in Abu Dhabi. This leadership role requires extensive experience in data engineering and AI, with a strong focus on compliance and stakeholder management. Join a collaborative environment that empowers professionals to transform lives through advanced healthcare solutions.

Benefits

Competitive salary and comprehensive benefits

Opportunities for professional development

Collaborative and innovative work environment

Qualifications

• 15+ years of experience in data engineering and AI/ML.
• Expertise in Microsoft Azure services and healthcare interoperability standards.
• Strong leadership and communication skills.

Responsibilities

• Develop and execute Data & AI strategy aligned with healthcare trends.
• Lead design and deployment of scalable data architectures using Azure.
• Ensure compliance with healthcare standards and security protocols.

Skills

Data Engineering

AI/ML

Cloud-based Solutions

Healthcare Interoperability Standards

Data Governance

Stakeholder Management

Leadership

Education

Master's or PhD in Computer Science, Data Science

Tools

Microsoft Azure

TensorFlow

PyTorch

Scikit-learn

Spark

Kubernetes

Job description

Job description

The Director - Data & AI will lead the strategic vision and execution of data and artificial intelligence initiatives, driving innovation in healthcare technology solutions. This role requires a seasoned leader with deep expertise in data architecture, AI/ML frameworks, and healthcare interoperability standards to align technology strategies with organizational goals. The Director will oversee cross-functional teams, manage stakeholder relationships, and ensure compliance with industry regulations to deliver transformative healthcare solutions in Abu Dhabi.

Key responsibilities

• Develop and execute a comprehensive Data & AI strategy aligned with organizational objectives and healthcare industry trends.
• Lead the design and deployment of scalable data architectures using Microsoft Azure, including Azure Data Factory, Databricks, and Cosmos DB.
• Oversee the development and integration of AI/ML models to enhance healthcare solutions, such as predictive analytics and clinical decision support systems.
• Ensure compliance with healthcare standards (FHIR, HL7, HIPAA) and security protocols (OWASP, OAuth2).
• Collaborate with technical leads, integration teams, and business stakeholders to deliver end-to-end solutions.
• Establish and enforce data governance, quality, and compliance frameworks to ensure data integrity.
• Provide thought leadership on emerging AI technologies, including generative AI and natural language processing, for healthcare applications.
• Mentor and guide teams in adopting best practices for data engineering, AI development, and DevOps processes.
• Develop and maintain comprehensive documentation for Data & AI strategies, architectures, and implementations.
• Drive innovation by fostering partnerships with technology vendors and research institutions.

Required skills and experience

• 15+ years of experience in data engineering, AI/ML, and cloud-based solutions, with at least 5 years in a leadership role.
• Expertise in Microsoft Azure services (Azure Data Factory, Databricks, Azure SQL, Cosmos DB, Azure Machine Learning).
• Deep understanding of healthcare interoperability standards (FHIR, HL7, SNOMED, LOINC) and compliance requirements (HIPAA, GDPR).
• Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and data processing tools (Spark, Python).
• Experience with data governance, data modeling, and ETL/ELT pipeline development.
• Strong knowledge of API design, microservices architecture, and Kubernetes-based deployments.
• Exceptional leadership, communication, and stakeholder management skills.
• Proven ability to translate business requirements into technical solutions.

Preferred qualifications

• Azure Solutions Architect Expert or Azure AI Engineer Associate certification.
• Experience in healthcare technology deployments in the Middle East.
• Advanced degree (Master's or PhD) in Computer Science, Data Science, or a related field.

Key deliverables

• Comprehensive Data & AI strategy and roadmap for healthcare innovation.
• Scalable data and AI architectures deployed on Microsoft Azure.
• AI-driven healthcare solutions, including predictive models and clinical decision support systems.
• Data governance and compliance frameworks aligned with HIPAA and GDPR.
• Detailed documentation of architectures, processes, and implementations.

Why join?

• Be part of a flagship healthcare innovation transforming lives in Abu Dhabi.
• Gain mentorship and exposure to cutting-edge technology in digital health.
• Grow your career in a purpose-driven environment that empowers healthier communities across the region.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and career advancement.
• Collaborative and innovative work environment focused on advancing healthcare technology.