Applied AI Technology Advsior / Specialist at Georgetown Global Health Nigeria (GGHN)

Georgetown Global Health Nigeria (GGHN) is the operational arm and an affiliate of Georgetown University Centre for Global Health Practice and Impact (CGHPI) in Nigeria. GGHN is a Non–profit, Non-Governmental Organization in Nigeria that promotes best practices in health care delivery and research using local and internationally adapted models to strengthen health systems.

Overview

• The Technology Advisor (or Specialist), Applied AI, plays a pivotal role at the intersection of health & development, machine learning research, product engineering, and client success.
• The role involves refining complex One Health datasets into model?ready signals, developing prototypes and tools, and translating real?world insights into platform features that strengthen GGHN’s AI?enabled systems.
• The Advisor/Specialist maintains tight feedback loops across GGHN teams to ensure that partners and clients derive maximum value from AI?driven solutions, while upholding responsible, ethical, and inclusive AI practices.

Responsibilties
Coordination of Applied AI, Data Engineering, and Digital Innovation Activities:

• Reports to the Organisational Team Lead and serves as the focal point for Applied AI across GGHN.
• Leads the implementation of AI, machine learning, and digital innovation activities, ensuring alignment with GGHN strategy, project goals, and donor expectations.
• Maintains a collaborative practice with internal and external stakeholders involved in data, digital health, and AI-driven program delivery.
• Monitors progress, identifies technical challenges, and implements corrective actions to ensure high?quality AI and data engineering outputs.
• Ensures required resources—including datasets, compute environments, tools, and documentation—are available for AI development and deployment.
• Represents GGHN at technical AI, digital health, and innovation forums, meetings, and stakeholder engagements.
• Advocates for responsible, ethical, and inclusive AI practices within GGHN and across partner ecosystems.

Mode of Evaluation:

• Quarterly and annual AI/innovation work plans and achievement reports
• >85% of planned AI and digital innovation activities completed with documented outputs

Ensure AI?Enabled Solutions Are Functional, Scalable, and Available Across All Target Use Cases:

• AI and data engineering pipelines are established, functional, and maintained across all relevant program areas.
• Data sources, datasets, and signals are identified, cleaned, and transformed into model?ready formats.
• Each AI solution or model has:
• An annually updated technical strategy and implementation plan
• Documentation of data flows, model architecture, and deployment processes
• Standard operating procedures (SOPs), job aids, and user guides
• Engineering and product teams have the necessary resources to build, test, deploy, and monitor AI models.
• AI tools and prototypes are used to generate insights, support decision?making, and improve program performance.
• AI systems incorporate user feedback, ethical safeguards, and continuous improvement mechanisms.
• Hosts interactive workshops, demos, and trainings for internal teams, partners, and government stakeholders on AI use cases.
• Builds networks of technical collaborators, leverages digital platforms for engagement, and develops materials to increase awareness and adoption of AI solutions.
• Conducts outreach to identify new datasets, use cases, and opportunities for AI?driven impact.

Provide Mentoring, Coaching, and Supportive Supervision – Applied AI Technical Assistance Provided Quarterly:

• Conducts assessments of data quality, model performance, and adherence to AI development protocols.
• Leads modular training sessions (2–3 hours max) for staff on AI concepts, data literacy, ML workflows, and responsible AI practices.
• Provides hands?on mentorship to interns, fellows, and staff working on AI, data science, or digital innovation tasks.
• Facilitates regular technical review meetings to discuss model outputs, challenges, and best practices.
• Assists in developing and implementing technical protocols for data ingestion, model training, deployment, and monitoring.

Research, Learning, and Development:

• Actively contributes as a key member of the Digital Technology & Innovation Unit, participating in daily activities to ensure smooth operations.
• Participates in the design and implementation of research activities related to AI, One Health, and digital innovation.
• Uses continuous quality improvement (CQI) to refine AI approaches, tools, and methods based on new insights and advancements.
• Builds and tests prototypes to maintain technical proficiency and accelerate innovation.
• Supports the development and facilitation of digital health, AI, and data science workshops.
• Stays informed about global trends in AI, ML, digital health, and One Health intelligence.
• Participates in program, departmental, and cross?team meetings.

Documentation, Reporting, and Dissemination:

• Ensures detailed documentation of technical processes, datasets, model development steps, and outcomes using standardized formats.
• Provides reports for internal teams, donors, government agencies, and partners, summarizing progress, challenges, achievements, and lessons learned.
• Conducts analysis of model outputs and data to generate insights, dashboards, case studies, and best?practice briefs.
• Organizes and participates in workshops, webinars, and technical forums to disseminate findings and promote adoption of AI solutions.
• Gathers and integrates feedback from dissemination activities to improve future AI development and reporting.

Support Other Digital Technology & Innovation Activities:

• Supports cross?departmental digital transformation initiatives.
• Assists teams in integrating AI insights into program design, monitoring, and decision?making.
• Collaborates with other units to ensure AI solutions are aligned with broader organizational goals and accessible to end?users.

Perform Any Other Function(s) Assigned by the Line Manager, Project Leads, or Organizational Directors/

• Executes additional tasks as required to support GGHN’s mission and strategic objectives.

Requirements
Education/ Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Public Health Informatics, or related field.
• Prior experience in AI/ML, digital health, or data engineering strongly preferred.
• Experience providing capacity?building or technical assistance at individual and organizational levels.
• Experience with health, One Health, or development-sector datasets is an added advantage.

Technical Skills:

• Strong proficiency in Python, R, or similar languages.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit?learn).
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Understanding of data engineering workflows and ETL pipelines.
• Ability to build prototypes, dashboards, or lightweight tools.
• Knowledge of health, epidemiology, or One Health datasets is a plus.

Professional Skills:

• Strong analytical and problem?solving abilities.
• Excellent communication skills, especially in translating technical concepts for non?technical audiences.
• Ability to work collaboratively across multidisciplinary teams.
• Strong organizational skills and ability to manage multiple priorities.

Abilities:

• Organized and capable of working independently within a matrix supervision model.
• Skilled in supervising and mentoring junior staff, interns, and fellows.
• Strong planning, execution, and monitoring skills for AI/innovation work plans.
• Ability to interpret technical materials, reports, and documentation.
• Capable of maintaining strong professional relationships with partners and stakeholders.
• Proficient in MS Word, PowerPoint, Outlook, and documentation tools

Confidentiality:

• This position involves access to confidential information, including sensitive datasets, proprietary algorithms, and GGHN’s business practices.
• Strict adherence to data protection and confidentiality policies is required.
• Unauthorized disclosure of sensitive information is prohibited.
• All staff must report potential data breaches or concerns immediately.

Training and Certification:

• GGHN Ethics Certification, NHREC & CITI certifications completed within 1 month of onboarding.
• Continuous professional development in AI, ML, and digital health.
• Participation in relevant professional associations and technical working groups.

GGHN Values to adhere:

• We honor and respect every person we encounter as a valued member of the human family whose gifts and rights are protected and respected.
• We support and champion individual and organizational growth, accountability, creativity, teamwork, and commitment to quality, and the best standard of care.
• We promote and advocate for the full integration of our client’s physical and mental health with their needs as an active member of a vibrant and just community.
• We collaborate with others to develop systems, organizations, and programs that address the needs of and empower all members of our community with a preference for the most vulnerable and disadvantaged.

Method of Application

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