Job Description:

The key functions and deliverables of this role will include:

1. Governance, Policy Alignment and Leadership

• Ensure alignment of AI solutions with national digital health strategies, MoH policies, and ethical AI principles.
• Lead or contribute to the development and enforcement of national AI standards, model validation protocols, safety frameworks, and regulatory readiness processes.
• Provide strategic oversight to ensure that AI systems are transparent, explainable, auditable, and fit for regulatory review.
• Represent the AI Lab in technical committees, steering groups, and regulatory working groups, advancing evidence-based AI governance.
• Promote institutional accountability through documented workflows, formal approval processes, and traceable decision-making.
• Lead and contribute to capacity-building initiatives, including mentorship, training programs, and knowledge dissemination for AI in healthcare.

2. AI Program Coordination and Strategic Planning

• Provide end-to-end oversight for the planning, execution, and monitoring of NHIC/AI project portfolio.
• Develop and manage annual and quarterly workplans, budgets, timelines, and performance reports.
• Ensure all AI initiatives are clinically relevant, ethically approved, and integrated into national health systems and care pathways.
• Coordinate cross-functional execution across clinical, data, ICT, legal, and policy units.
• Ensure that project risks, dependencies, and regulatory requirements are actively managed.

3. AI Lifecycle Management and Decision Authority

• Lead the full AI lifecycle, including use case intake and prioritization, prototyping and model development, validation and piloting, and clinical deployment
• Enforce formal decision gates for technical performance, clinical safety and ethical and legal compliance
• Ensure continuous model monitoring, version control, retraining protocols, bias detection and post-deployment surveillance

4. Team Leadership and Capacity Building

• Lead and supervise a multidisciplinary AI team, ensuring clarity of roles, accountability, and performance excellence.
• Establish effective task management, performance tracking, and quality assurance mechanisms.
• Conduct regular performance check-ins, coaching, and structured mentorship.
• Promote a work culture grounded in innovation, collaboration, ethical responsibility, and results orientation.
• Facilitate staff training and collaboration with academic institutions, technical partners, and research organizations.

5. Operations, Infrastructure, and Resource Management

• Facilitate operations of the NHIC/AI initiatives, including infrastructure readiness and workflow stability.
• Support coordination of procurement, maintenance, and utilization of hardware and software resources (servers, GPUs, cloud infrastructure).
• Support financial planning, grant management, and administrative operations.
• Ensure comprehensive project documentation, knowledge management, and institutional memory.

6. Partnership and Stakeholder Engagement

• Serve as a focal point for coordination between health and research institutions, and private sector and innovation partners.
• Facilitate partner coordination meetings, reporting, and formal communications.
• Support the development of new partnerships, funding proposals, and strategic collaborations.

7. Ethics, Clinical Safety and regulatory Compliance

• Ensure full compliance with data governance, ethical, and privacy regulations governing health AI.
• Coordinate closely with clinical leadership, legal teams, and ethics committees to secure all necessary approvals.
• Establish and enforce clinical risk assessment, safety monitoring, and AI incident reporting frameworks.
• Ensure that no AI system is deployed into clinical workflows without formal ethical and clinical governance clearance.

8. Monitoring, Evaluation, and Reporting

• Develop and manage NHIC/health AI lab KPIs, dashboards, and activity trackers.
• Lead preparation of technical, progress, and donor reports.
• Support evaluation of AI model performance, impact, clinical safety, and scalability.
• Institutionalize learning through documentation of best practices, failures, lessons learned, and policy implications.

Required Qualifications

• Master’s degree or higher in Data Science, Artificial Intelligence, Health Informatics, Computer Science, Digital Health or a related field.
• Minimum of 6 years of experience in leadership, or program management role in the field of health and integration of AI in digital systems. Experience in healthcare would be an advantage. 
• Proven experience working with government health institutions, donor-funded programs, clinical and regulatory environments.
• Strong understanding of AI applications in healthcare (including clinical decision support systems, predictive analytics, automation, and workflow optimization), digital health systems, and data governance principles
• Demonstrated leadership and team management skills, with experience overseeing cross-functional teams.
• Excellent communication, organizational, and stakeholder engagement abilities.
• Clear commitment to ethical, equitable, and sustainable use of AI in healthcare.

Application procedure

Interested candidates should apply through Senior Technical Advisor, Health AI. Only shortlisted candidates will be contacted.

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