Job Openings at Living Goods

Objectives of the Assignment

The primary objective is to strengthen hiring assurance through high-quality, reliable, and insightful background and reference checks.
Specifically, the partner will:

• Verify candidate information provided during recruitment processes
• Identify and clearly flag potential risks (reputational, integrity, or compliance-related)
• Support safeguarding, governance, and donor accountability requirements
• Enable informed, risk-aware hiring decisions through both data and professional judgement

Scope of Work and Deliverables

• The selected partner will provide end-to-end background and reference check services, including but not limited to:

Core Checks

• Employment history verification
• Academic and professional qualification verification
• Identity verification
• Criminal record checks (where legally permissible)
• Professional reference checks (including senior-level referencing where required)

Enhanced / Executive-Level Checks

• Politically Exposed Person (PEP) screening
• Global watchlist and sanctions checks
• Litigation and court record checks (where accessible)
• Media and reputational scans (including adverse media)
• Social media checks (where appropriate and compliant)

Contextual & Insight-Based Reporting

• Identification and escalation of potential risks, inconsistencies, or reputational signals
• Clear differentiation between:
• Verified findings
• Unverified but relevant signals
• Professional judgement on risk level and relevance

Deliverables

• Comprehensive, structured background check reports per candidate
• Clear flagging and categorisation of risks (e.g. low / moderate / high)
• Defined turnaround times (target: 3–5 working days for standard checks; timelines for enhanced checks to be agreed)
• Periodic summary reports (monthly/quarterly), including:
• Volume of checks
• Risk trends
• Turnaround performance

Methodology

The partner is expected to adopt a rigorous, ethical, and compliant approach, including:

• Obtaining and verifying candidate consent prior to checks
• Use of credible, verifiable, and diverse data sources
• Strong triangulation of information, especially for senior roles
• Clear escalation protocols for discrepancies or sensitive findings
• Secure handling, storage, and transmission of personal data
• Full compliance with:
• Local data protection laws
• International standards (e.g. GDPR-equivalent frameworks)

Reporting and Engagement Model

• The partner will report to the Talent & Capability Management Team (or designate)
• A dedicated account manager / point of contact is required
• Regular engagement will include:
• Operational check-ins
• Periodic performance reviews
• Continuous improvement discussions

Qualifications and Experience

Interested partners should demonstrate:

• Proven experience delivering multi-country background checks, particularly in Africa
• Strong understanding of regulatory and data protection environments across regions
• Experience supporting NGOs, INGOs, or complex multi-country organizations
• Ability to handle senior and executive-level screening
• Access to reliable verification networks and databases
• Capacity to provide insight, not just data

Roles and Responsibilities

Partner Responsibilities

• Conduct agreed background and reference checks
• Ensure accuracy, completeness, and clarity of reporting
• Flag and escalate risks in a timely manner
• Maintain strict confidentiality and data security
• Meet agreed service levels and timelines

Living Goods Responsibilities

• Provide accurate candidate information
• Ensure candidate consent is obtained
• Review and act on reports provided
• Make final hiring decisions

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Role Summary:

• The Senior Data Platform Architect will work within the Ministry of Health to support the Division of Community Health Services and will lead the design and optimization of scalable, secure, and high-performing data systems that power digital health programs and analytics. This role is responsible for building robust data architecture that enables reliable data exchange across health information systems, supports advanced analytics and AI, and ensures the highest standards of data quality, security, and compliance. The position works at the intersection of technology, public health, and data science to enable data-driven decision-making and improved health outcomes at scale.

Key Responsibilities:
Data Architecture Development

• Design and implement scalable database structures, data warehouses, and data lakes to support large volumes of structured and unstructured healthcare data.
• Define data models, standards, and architecture patterns that enable interoperability across digital health platforms and national health information systems.
• Establish cloud and hybrid data infrastructure aligned with performance, scalability, and resilience requirements.

Data Engineering

• Develop and maintain robust ETL workflows to facilitate seamless data movement between different health information systems.
• Implement automated data ingestion, transformation, and synchronization processes to support near real-time data availability where required.
• Implement data validation techniques to ensure the accuracy, consistency, and reliability of health records and analytics.
• Ensure compliance with health data protection laws and enforce stringent security measures to safeguard patient data.
• Support the implementation of data governance practices, including metadata management, data standards, and auditability.

Performance Optimization

• Support risk management and disaster recovery planning for critical data systems.
• Continuously optimize data storage, indexing, and retrieval strategies to improve query performance and system efficiency.
• Reduce redundancy and improve resource utilization across the data environment.
• Work closely with software engineers, data scientists, and public health officials to create data-driven insights for healthcare interventions.
• Continuously refine data storage and retrieval methods to improve query speed, reduce redundancy, and enhance overall system efficiency.
• Assist in the implementation of AI/ML models for predictive analytics, helping to improve health outcomes through intelligent data analysis.

Government engagement & program management

• Provide day-to-day coordination for set deliverables in data workstreams, communications, stakeholder updates and government-led milestones including definition of data dictionaries.
• Train and coach country digital leads, program managers, M&E staff and supervisors on best practices and governance for data design, platforms, security and governance.
• Ensure compliance with Government regulations and policies, the deliverables of the program and contractual requirements.
• Support teams to translate data operational models for government adoption by helping cost, plan and prepare for national scale.
• Co-design data workshops, capacity-strengthening curricula and technical assistance packages for government and implementation partners.
• Work in close collaboration with the CHU4UHC Secretariat to strengthen coordination and performance visibility across coalition members. This includes providing structured support to track, analyse, and report on coalition performance against agreed high-level indicators.

Required Qualifications & Experience:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Proficiency in SQL, NoSQL databases, and big data processing frameworks such as Apache Spark or Hadoop.
• Experience with cloud-based data storage solutions (AWS Redshift, Google BigQuery, or Azure Synapse Analytics).
• Knowledge of data standards such as FHIR and HL7, and experience working with electronic medical records (EMRs) or health management systems.
• Familiarity with Python, R, or Scala for data manipulation and analysis.
• Strong analytical skills and the ability to develop data-driven solutions to health-related challenges.
• Ability to communicate with clarity and work effectively with diverse team members.

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Role summary

• The role will work within the Ministry of Health to support the Division of Community Health Services and will focus on impact and performance, informing policy, guidelines development, as well as advocacy on key health service delivery issues. It is a blend of program management, technical advisory, knowledge management and operational leadership to accelerate quality, performance and scale. The role will guide the monitoring and evaluation system for reporting progress, and maintain reporting procedures, information assets and guidelines.
• Additionally, the lead impact and performance will provide strategic direction on performance insights, structure and lead M&E learning, and build necessary capabilities for ensuring data quality. S/he will be expected to develop a robust monitoring and evaluation plan, coordinate the data flow from the electronic community health information system (eCHIS) including data validation, monitor the quality and completeness of data sets, contribute to the development of the program and document project performance against outputs and indicators. S/he will also be responsible for building the capacity of the Ministry of Health (MOH) and other stakeholders in the utilization, analysis and dissemination of data as well as ensuring that all monitoring and evaluation collection activities are harmonized and information is shared. S/he will also assist the MOH to monitor programs and assess the robustness of implementing organizations’ data collection and M&E mechanisms.

Key responsibilities
Standardize performance & implementation frameworks

• Define and maintain core performance indicators, standard workflows and quality assurance criteria for digitally enabled CHW programs (onboarding, supervision, commodity management, data quality, KPI dashboards) within the Ministry of Health
• Work with MOH Data Engineering & M&E teams to standardize metrics, data definitions and reporting templates used across counties.
• Collect, curate and synthesize evidence, operational lessons, and performance data from the community health program to produce actionable guidance (playbooks, SOPs, implementation checklists, case studies).
• Maintain a “living” Center of Excellence library (implementation guides, technical notes, demo flows) that MOH teams can quickly adapt.
• Work in close collaboration with the CHU4UHC Secretariat to strengthen coordination and performance visibility across coalition members. This includes providing structured support to track, analyse, and report on coalition performance against agreed high-level indicators

Performance Intelligence & Data Use

• Define and monitor Key Performance Indicators (KPIs) across all health programs in collaboration with the Department of Community Health to provide insights and identify bottlenecks in service delivery.
• Foster a "data-first" culture across the stakeholders, ensuring that country, regional and supervision teams use real-time dashboards to drive daily decisions.
• Provide oversight of advanced and predictive analytics to forecast health trends, resource needs, and potential health system failures before they occur.
• Establish rigorous data validation protocols to ensure the integrity of data coming from the frontline (e.g., Community Health Promoters).
• Serve as the lead for data ethics, ensuring all data collection complies with national digital sovereignty laws and privacy standards.
• Translate complex datasets into compelling narratives for government stakeholders, donors, and other relevant partners.
• Work closely with Ministries of Health to align organizational data quality with national Health Management Information Systems (HMIS).

Government engagement & program management

• Lead impact and performance projects that roll out new features, processes or pilots. This includes coordination with PMU to create project plans, manage timelines, risks, budgets and stakeholders
• Provide day-to-day coordination for set deliverables including workstreams, communications, stakeholder updates and government-led milestones.
• Train and coach digital leads, program managers, M&E staff and supervisors on best practices and governance for digital CHW platforms, data use and governance.
• Design and track uptake strategies including digital adoption, data use for insights and decision making, learning cycles, community of practice, and mentoring.
• Oversee administrative tasks for impact and performance initiatives
• Ensure compliance with Government regulations and policies, the deliverables of the program and contractual requirements.
• Support teams to translate operational models for government adoption by helping cost, plan and prepare for national scale.
• Co-design workshops, capacity-strengthening curricula and technical assistance packages for government and implementation partners.

Required qualifications & experience

• Bachelor’s degree in Public Health, Global Health, M&E, Data Science, Statistics, Health Informatics, IT, or related field; master’s preferred.
• 5+ years’ experience in M&E, data science, performance management, digital health, health systems strengthening, or related public health/technology roles with at least 2 years in a leadership role within the global health or international development sector
• Experience working directly with government digitization initiatives ideally with hands-on experience in national and sub national level programs.
• Demonstrated experience managing multi-country programs and complex stakeholder ecosystems (Ministries of Health, donors, partners, coalitions).
• Strong program & project management skills very comfortable with work planning, budgets, timelines, and risk management.
• Deep understanding of digital health ecosystems (eCHIS, DHIS2, CommCare, OpenMRS, or other national eCHIS) and data visualization tools (Tableau, PowerBI, or Superset).
• Strong grasp of statistical software (R, Python, or STATA) and impact evaluation methodologies.
• Excellent written and oral communication skills; ability to synthesize technical and operational content for diverse audiences.

Desirable skills

• Technical familiarity with product lifecycles, user-centred design, or basic data engineering/analytics.
• Experience in capacity building and adult learning design.

Competencies & behaviors

• Systems thinker and Pragmatic problem-solver who translates complex evidence into usable tools.
• Collaborative influencer by building strong cross-functional relationships and navigates political/partner dynamics.
• Detail-oriented implementer, excellent at turning plans into trackable actions.
• Commitment to equity, community-led approaches to improving healthcare for all.