Description
Position: 1 x Data Management Coordinator (Harare)
Full time: 12 months
Job Purpose
Zvitambo is seeking an experienced and talented Data Coordinator who will coordinate the
LIFE-ED Data Core activities across five countries. This role requires somebody who has a


strong background in research data management and statistics/data science, combined with
exemplary project management and communication skills. The role will form the public ‘face’
of the LIFE-ED Data Core, coordinating meetings, developing case report forms (CRFs),
specifying data system requirements and data quality assurance SOPs, harmonizing data
approaches and interfacing with data scientists in Zimbabwe, Tanzania, Peru, India and
Bangladesh to launch a complicated 5-country study. This position requires broad
experience in data collection and data management systems, strong team leadership skills,
a dynamic approach to motivating teams in other countries, and exemplary communication
skills – with the ability to lead multi-country calls to harmonise data decisions. The Data
Coordinator provides a link between the Data Core and each LIFE-ED study team. The post
holder will work closely with the Associate Director for Data, IT and Statistics to launch the
project, and will oversee a team of three programmers and two data officers. This post will
be based in Harare and may require international travel to coordinate meetings, or to support
deployment of data systems at other LIFE-ED sites. StoreBig Data

Duties and Responsibilities
Main Duties
 Project Planning & Scheduling: Develop detailed project timelines, set milestones,
and organize daily tasks for data systems design, development, deployment and
maintenance.
 Data Tracking & Quality Control: Monitor incoming data workflows, check for data
integrity and accuracy, and help maintain documentation or standard operating
procedures (SOPs).
 Cross-Functional Communication: Act as the central point of contact between data
scientists, database administrators, and researchers, translating technical progress
into updates.
 Resource & Vendor Coordination: Ensure the data team has the necessary
software, tools, and personnel, and coordinate with external vendors or data
providers when required.
 Progress Reporting & Risk Management: Track project metrics, log potential
bottlenecks or compliance/security risks, and prepare status reports for LIFE-ED
stakeholders.
 Administrative Support: Schedule Data Core meetings, take meeting minutes,
manage shared resources or databases, and track project expenses.
 Data Governance and Policies: In collaboration with country data management
teams, develop and enforce standards, procedures, and guidelines for how data is
collected, stored, used, and shared across the LIFE-ED consortium.
 Data Quality and Integrity: Implement validation rules, cleaning processes, and
deduplication routines to fix errors and maintain reliable datasets.
 System and Database Management: I collaboration with programmers, design,
maintain, and optimize data storage platforms, including databases, data
warehouses, and cloud-based repositories.
 Security and Access Control: In collaboration with IT team, establish user
permissions, authentication protocols, and backup procedures to safeguard
sensitive information.
 Regulatory Compliance: In collaboration with DPO, ensure data practices adhere to
relevant privacy laws and industry regulations (such as GDPR, HIPAA, or CCPA).
 Lifecycle Management: Oversee data from its initial creation or acquisition through
active usage, archiving, and final deletion or destruction.
 Collaboration and Support: Work closely with IT teams, data analysts, data
scientists, and LIFE-ED teams to turn raw data into actionable dashboards, reports,
and insights. StoreBig Data

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Qualifications and Experience
Qualifications and Experience
Essential:
 Master’s Degree in quantitative field such as Statistics, Computer Science,
Information Systems, Data Science or Mathematics.
 Professional Certifications in data management, data analytics, cloud computing
(e.g. AWS Certified Data Analytics, Azure Data Engineer)
 Project management certifications
 At least 3 to 5+ years of hands-on experience in data management, data
coordination, database administration, data warehousing, or data analytics.


 Advanced proficiency in SQL (essential), plus working knowledge of database
systems like PostgreSQL, MySQL, Oracle, or MongoDB.
 Familiarity with data manipulation and analysis languages like Python or R.
 Experience with Extract, Transform, Load (ETL) pipelines and cloud data platforms
(AWS, Google Cloud, Microsoft Azure).
 Proficiency in visualization tools such as Power BI or Tableau.
 Understanding of metadata management, master data management (MDM), data
cleaning, and security/privacy protocols.
 Ability to plan, execute, and monitor data-driven projects across cross-functional
teams.
 Strong ability to translate complex technical concepts and data findings into clear,
non-technical insights for stakeholders and leadership.
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 Aptitude for troubleshooting data discrepancies, system errors, and integrity gaps.
 Strong track record in research data management, working with multi-country
projects a distinct advantage
 Deep understanding and hands-on experience of the research cycle - from design
and preparation, to data cleaning and analysis
 Highly proficient in Electronic data capture systems such as Redcap, ODK, or KoBo
Toolbox
 Proficient in productivity tools such as Word, Excel, PowerPoint, OneDrive,
SharePoint, etc
 Excellent oral and written communication skills in English
 Demonstrated leadership abilities and experience in mentoring junior staff


 Well versed in regulatory frameworks governing clinical research, such as Good
Clinical Practice (GCP) and International Conference on Harmonisation (ICH)
guidelines.
 Demonstrated ability to effectively coordinate multidisciplinary teams
 Keen understanding of the research ecosystem in Zimbabwe.
Desirable:
 Track record of publications in peer-reviewed journals or presentations at scientific
conferences. Qualifications and Experience
Essential:
 Master’s Degree in quantitative field such as Statistics, Computer Science,
Information Systems, Data Science or Mathematics.
 Professional Certifications in data management, data analytics, cloud computing
(e.g. AWS Certified Data Analytics, Azure Data Engineer)
 Project management certifications
 At least 3 to 5+ years of hands-on experience in data management, data
coordination, database administration, data warehousing, or data analytics.
 Advanced proficiency in SQL (essential), plus working knowledge of database
systems like PostgreSQL, MySQL, Oracle, or MongoDB.
 Familiarity with data manipulation and analysis languages like Python or R.
 Experience with Extract, Transform, Load (ETL) pipelines and cloud data platforms
(AWS, Google Cloud, Microsoft Azure).
 Proficiency in visualization tools such as Power BI or Tableau.
 Understanding of metadata management, master data management (MDM), data
cleaning, and security/privacy protocols.
 Ability to plan, execute, and monitor data-driven projects across cross-functional
teams.
 Strong ability to translate complex technical concepts and data findings into clear,
non-technical insights for stakeholders and leadership.
 Aptitude for troubleshooting data discrepancies, system errors, and integrity gaps.
 Strong track record in research data management, working with multi-country
projects a distinct advantage
 Deep understanding and hands-on experience of the research cycle - from design
and preparation, to data cleaning and analysis
 Highly proficient in Electronic data capture systems such as Redcap, ODK, or KoBo
Toolbox
 Proficient in productivity tools such as Word, Excel, PowerPoint, OneDrive,
SharePoint, etc
 Excellent oral and written communication skills in English
 Demonstrated leadership abilities and experience in mentoring junior staff
 Well versed in regulatory frameworks governing clinical research, such as Good
Clinical Practice (GCP) and International Conference on Harmonisation (ICH)
guidelines.
 Demonstrated ability to effectively coordinate multidisciplinary teams
 Keen understanding of the research ecosystem in Zimbabwe.
Desirable:
 Track record of publications in peer-reviewed journals or presentations at scientific
conferences. StoreBig Data