Project Database Manager at PATH4AIPOCUS Project

The PATH4AIPOCUS Project is a three-year initiative funded by the Gates Foundation. The project aligns with national and global Maternal, Newborn, Child, and Nutrition Health (MNCNH) priorities by supporting the development, validation, and scale-up of Artificial Intelligence–enabled Point-of-Care Ultrasound (AI-POCUS) within antenatal care (ANC) services in Nigeria.

The project aims to generate robust evidence on health system readiness—including service delivery regulations, policy alignment, competency frameworks, financing mechanisms, and implementation feasibility—to inform sustainable integration of AI-enabled POCUS into routine maternal healthcare in resource-constrained settings.

We are recruiting to fill the position below:

Job Title: Project Database Manager

Location: Benin, Edo
Employment Type: Contract

Key Responsibilities
Database Design & Development:

• Develop and maintain relational databases for all work packages, including:
  • Stakeholder mapping and engagement tracking data, Facility readiness and assessment datasets, Community engagement and demand creation tracking Training, certification, and provider competency records., AI-POCUS service delivery, QA, and concordance tracking datasets
  • Build data architecture that integrates multiple data sources (HMIS, digital monitoring platforms, surveys, qualitative datasets).
  • Design data collection templates compatible with tools such as REDCap, DHIS2, ODK, or CommCare.

Data Management & Quality Assurance:

• Establish and enforce data management SOPs, including: Data entry protocols Data validation rules, Version control and audit trails.
• Conduct routine data quality assessments (DQAs), including: Completeness Accuracy Consistency across sources.
• Clean and harmonize datasets from multiple streams (facility logs, QA reviews, surveys, KIIs / FGDs).

System Integration & Digital Platform Support:

• Support integration of AI-POCUS digital monitoring platform with project databases.
• Ensure interoperability with national systems (e.g., DHIS2 where applicable).
• Troubleshoot data system issues in collaboration with IT teams and device vendors.

Data Security & Compliance:

• Ensure compliance with national and institutional data protection regulations.

Implement secure data storage, encryption, and controlled access protocols.

• Maintain de-identified datasets for QA review and research purposes.
• Support ethical compliance requirements tied to approvals from national and state ethics committees.

Reporting & Data Visualization:

• Generate routine and ad hoc reports for: Project leadership, State stakeholders Advisory Group.
• Develop dashboards and visualizations for: Implementation outcomes (acceptability, adoption, feasibility, etc.).
• Facility readiness and utilization trends.
• QA and mentorship performance indicators.
• Support preparation of datasets for analysis by internal teams and partners.

Support to Monitoring, Evaluation, and Research:

• Prepare datasets for: Baseline, midline, endline, and post-endline assessments.
• Mixed-methods analysis (quantitative + qualitative integration).
• Work with M&E team to structure data for Proctor’s implementation outcomes framework.
• Support coding frameworks and data export for tools like NVivo (qualitative data).
• Maintain documentation (data dictionaries, metadata, codebooks).

Training & Capacity Building:

• Train field staff, facility staff, and data collectors on: data entry tools, data quality standards and use of dashboards.
• Provide ongoing mentorship and troubleshooting support for data-related issues at facility level.

Qualifications and Experience

• 3–5 years of experience in database management for health programs.
• Experience working with large-scale health data systems (e.g., DHIS2, REDCap, ODK).
• Prior experience in maternal and child health, digital health, or implementation research is highly desirable.
• Experience supporting multi-state or multi-site projects preferred.
• Strong proficiency in SQL databases (MySQL, PostgreSQL, etc.), data analysis tools (Excel, R, Python, or STATA).
• Experience with data visualization tools (Power BI, Tableau).
• Mobile data collection platforms (ODK, CommCare, KoboToolbox).
• Familiarity with Health information systems (e.g., DHIS2), Qualitative data tools (e.g., NVivo).
• High attention to detail and data accuracy.
• Strong problem-solving and analytical skills.
• Ability to manage multiple datasets and deadlines.

Application Closing Date
25th May, 2026.

How to Apply
Interested and qualified candidates should:
Click here to apply online