Job in Uganda
Senior Officer - Data Quality Assurance
DistrictNot specifiedCityNot specifiedContractType not specifiedPosted2026-09-28Close dateNot specifiedExperienceNot specifiedSourceFuzu Uganda
data quality assurancesenior officermonitoring and evaluationdata managementdata collectionKampalaNGO jobsM&Esecuritysegurancarestaurantetechnology
AI summary
Raising The Village is hiring a Senior Officer - Data Quality Assurance based in Kampala. The role leads end-to-end data collection, develops SOPs and data integrity protocols, maintains a centralized data repository, and trains M&E staff and contractors on ethical data handling and compliance.
- Lead end-to-end data collection with multi-level quality and assurance controls
- Design and maintain SOPs for data collection, storage, and usage across RTV operations
- Build a centralized data repository with reporting systems for data quality insights
- Train contractors and M&E staff on ethical data handling, data security, and compliance
- Drive innovative data collection technologies aligned with SDGs and national agendas
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, seguranca, restauranteThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Senior Officer - Data Quality Assurance evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Raising The Village and the role in Not specified.
- Add concrete examples related to security, seguranca, restaurante, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Fuzu Uganda; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- Fuzu Uganda
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this Senior Officer - Data Quality Assurance role in security, seguranca?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Raising The Village before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Kampala
•
Uganda
Contract Type: Description
Key Accountabilities
- Lead and Oversee End-to-End Data Collection Processes:
- •
- Provide technical expertise and leadership, ensuring data collection is efficient, effective, and compliant. This responsibility extends to developing and championing best practices for robust data management, consistent with organizational standards across the entire operation
- • Support the automation of current manual data collection methodologies, thereby optimizing for efficiency and scalability.
- • Design comprehensive wireframes for data aggregation, which incorporate multi-level data quality and assurance controls, ensuring data is validated and reliable for all stakeholders
- • Contribute to the development and rigorous review of data collection instruments and associated workflows. This ensures their functionality and strict adherence to organizational standards before deployment and utilization.
- • Design and maintain comprehensive standard operating procedures (SOPs) for data collection, storage, and usage, ensuring accuracy, consistency, and reliability across all Raising The Village’s areas of operation.
- • Implement and uphold robust data integrity and assurance protocols, encompassing ethical handling, regular audits, and validation, to ensure collected data is consistently accurate and reliable.
- Establish and maintain a centralized data system for quality, compliance, monitoring, and training
- • D
- evelop and deliver comprehensive training programs for contractors and M&E staff on ethical data handling, data security, and compliance protocols, fostering a culture of data integrity.
- • Develop and maintain a centralized data repository to ensure readily accessible, timely, and accurate data for analysis and reporting.
- • Create and manage reporting systems that provide clear and concise insights into data quality and integrity, facilitating informed decision-making across the organization and with stakeholders.
- Research and Development;
- •
- Lead the development and implementation of innovative data collection technologies and methodologies for RTV, ensuring alignment with SDGs and national development agendas, focusing on solutions that overcome technological and logistical barriers to enabling accurate measurement of program impact and contribution to national strategic goals.
- • Deliver targeted capacity-building initiatives, actively collecting and integrating feedback to refine and adapt evaluation methodologies for optimal effectiveness.
- • Establish a strategic bridge for advancing evaluation methodology, fostering collaboration with regional M&E and data collection teams.
- Leadership and coaching
- •
- Provide strategic oversight and mentorship to the Data Quality Assurance (DQA) team, fostering a culture of accountability, continuous learning, and data excellence across all survey operations.
- • Lead performance management and professional development for DCI staff, including regular coaching sessions, feedback loops, and capacity-building plans aligned with program needs.
- • Actively support recruitment, onboarding, and role alignment for open DCI positions, ensuring team composition reflects the evolving technical and field demands of RTV’s data strategy.
- Qualification & Skills
- •
- Bachelor’s degree in M&E, Social sciences, Economics, Computer Science, Quantitative Economics, Business Computing, Mathematics, Population Studies, or related.
- • At least 4+ years of practical experience and familiarity with applied data management and practices.
- • A postgraduate qualification in M&E, or related, would be an added advantage.
- • Fluency in English is essential. Knowledge of French and Kiswahili is highly desirable.
- Requirements and Qualifications
- •
- Proven experience in M&E and project management is a MUST, preferably in the context of development projects or non-profit organizations.
- • Proficiency in relational data management systems and pipeline development languages such as Python, R will be an advantage.
- • A comprehensive understanding of data collection platforms that utilize XLS architecture, such as SurveyCTO, Comcare, and Survey123, is required.
- • Familiarity with GIS technologies such as ArcGIS and QGIS for mapping
- • Ability to work independently and collaboratively in a fast-paced team environment.
- • Detail-oriented and well-organized to manage multiple tasks and deadlines effectively.
- Tags
- Information technology, software development, data
- Non-profit, social work
- Mid-level
- Uganda
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Source and provenanceSource: Fuzu Uganda. Last checked: 2026-10-01.Kazi Connect is a job discovery service, not the employer. Always confirm the vacancy at the original source.Summaries may be AI-assisted. Report inaccurate content.
Never pay to apply. Always confirm the original source and watch for payment requests, sensitive document requests, or unrealistic promises.