Data Automation Manager

About Prosper Global:

Barely enough is not enough for anyone. Prosper Global is a humanitarian organization working alongside communities facing conflict, climate change, and economic hardship to meet urgent needs and create the conditions for lasting progress. Today's challenges demand new solutions, so we pair local knowledge with global resources to help communities build what's needed, test what's possible, and scale what's proven so that people everywhere can pursue a full life on their own terms. In 2026, we changed our name from Mercy Corps to Prosper Global, to reflect our belief that when every community can prosper, all of humanity moves forward.

In Ukraine, Prosper Global supports war-affected communities to cope, adapt, and thrive by strengthening the resilience of people, markets, and institutions. Since 2022, we have reached more than 1.5 million people through humanitarian assistance and economic recovery programming, including support to small businesses, farmers, and agribusinesses. Through market-based approaches, partnerships with civil society organizations, and innovative financing mechanisms, we advance sustainable economic opportunities, inclusive growth and energy and climate resilience. Accountability, localization, and partnership are central to our approach, ensuring that programs are responsive to the needs and priorities of the communities we serve.

The Position

The Data Automation Manager leads the Data Automation Team and owns the technical side of managing Prosper Global's portfolio-wide data ecosystem, integrating partner and program data, enabling analysis and visualization, and demonstrating impact across the entire portfolio.

The team ensures that Prosper Global can effectively collect, process, integrate, analyze and use data from both Prosper Global and partner systems to support evidence-based decision-making, organizational learning, accountability, donor reporting and external communication. Through data automation, analytics and visualization, the team enables staff and partners to access timely, reliable information that demonstrates results and impact at project, program and portfolio levels. The Data Automation Manager operates within Prosper Global Ukraine’s Technical Support, Evidence and Program Quality (TEQ) Department, which provides technical leadership and quality assurance across the organization’s portfolio. The TEQ Department brings together Monitoring, Evaluation and Learning (MEL) teams across the portfolio, the Community Accountability and Reporting Mechanism (CARM) team, the Social Inclusion and Protection Mainstreaming team, and the Data Automation Team. Together, these functions ensure that Prosper Global programs are high quality, accountable to participants and stakeholders, and continuously informed by evidence, learning, and participant feedback.

The Data Automation Manager leads a team of technical specialists, setting priorities, monitoring progress, and fostering collaboration across internal units and partner organizations. They are responsible for guiding the design and continuous improvement of Azure-based data architecture, including pipelines, databases, and integration with multiple data sources. While not performing all technical tasks directly, the Data Automation Manager ensures that solutions meet organizational standards, donor requirements, and best practices in data security and responsible data management.

This position requires a balance of technical expertise, strategic thinking, team leadership and stakeholder engagement to ensure that data is transformed into actionable insights that strengthen organizational performance and showcase the collective impact of Prosper Global and its partners.

Essential Responsibilities

Strategic leadership and team management

• Lead and manage the Data Automation Team, including recruitment, onboarding, supervision, and professional development.
• Develop team workplans, priorities and delivery timelines aligned with organizational and portfolio needs.
• Establish and manage a transparent process for intake, prioritization and delivery of data and reporting requests across Prosper Global.
• Foster collaboration across technical, programmatic and operational teams, ensuring clear roles and responsibilities for data management, quality assurance and reporting.
• Build strong working relationships with partner organizations to support effective integration and use of partner-generated data.
• Provide technical oversight and guidance to ensure high-quality deliverables and adherence to organizational standards and best practices.
• Promote a culture of accountability, innovation, learning and continuous improvement within the team.

Data infrastructure, Integration and analytics

• Oversee the design, implementation and continuous improvement of Azure-based analytical infrastructure on Azure to collect, store, integrate, process and analyze data from multiple internal and external sources.
• Ensure the integration and harmonization of data from Prosper Global systems, partner organizations and other relevant platforms into coherent portfolio-level datasets.
• Ensure effective ETL processes (extract, transform, load) using SQL, Python, and other tools.
• Oversee the development and maintenance of dashboards, data products and visualization tools that provide timely and actionable insights to stakeholders, taking into consideration data protection requirements.
• Coordinate integration of Azure solutions with Prosper Global IT systems, including SSO and third-party data sources.
• Ensure optimal performance, reliability, scalability and security of databases, data pipelines and reporting systems.
• Support the organization's ability to analyze and report results at project, program and portfolio levels through standardized and well-governed data structures.

Data Governance, security and compliance

• Implement and maintain data governance frameworks, standards and controls that ensure the integrity, consistency and appropriate use of organizational data.
• Implement data protection measures in line with Prosper Global’s Responsible Data Protection and Privacy Policy, AI Policy and Ukrainian data protection law, including data minimization, anonymization of personal identifiers, defined retention periods and Privacy Impact Assessments for new systems.
• Ensure appropriate and compliant use of generative AI and emerging tools are used in accordance with organizational policies (e.g. AI Policy) and adherence to data protection standards.
• Implement and maintain robust security protocols for sensitive and confidential data.
• Ensure compliance with organizational, donor and regulatory requirements related to data management and information security.
• Collaborate with the other Prosper Global and partner teams to recognize and adopt best practices in data management, reporting, analysis, and data science.

Data quality, standards and documentation

• Lead the development and maintenance of portfolio-wide data standards, definitions, taxonomies and documentation to ensure consistency across projects, programs and partners, including: Portfolio Master Data List (indicator definitions, KPI IDs, SADD categories, sectors, grant types), Data Automation Plans (DAP) and data collection form rules.
• Set up and run data quality checks with MEL – completeness, valid ranges, consistency, duplicates and outliers – and share regular anomaly reports for data verification.
• Lead season close-out: export, clean and archive one frozen, documented master dataset per program, and combine programs into one portfolio dataset with a common participant ID.
• Make sure every dataset and pipeline has a codebook, cleaning log, README and named owner, and provide documented standard extracts so teams receive routine data without writing scripts.
• Support the creation and maintenance of integrated portfolio datasets that enable consolidated analysis, performance monitoring and impact reporting.
• Ensure that all data products, databases and automated processes are appropriately documented, version controlled and maintainable.
• Develop standardized reports, dashboards and data extracts that improve access to information and reduce manual reporting burdens.
• Champion the use of data visualization and business intelligence tools to communicate progress, results and impact to internal and external stakeholders.
• Ensure data and analysis are accessible and actionable for decision-makers across all levels of the organization.

Safeguarding responsibilities

• Actively learn about safeguarding and integrates it into their work, including safeguarding risks and mitigations related to their area of work.
• Practice the values of Prosper Global including respecting the dignity and well-being of participants and fellow team members.
• Encourage openness and communication in their team; encourage team members to submit reports if they have any concerns using reporting mechanisms, e.g., Integrity Hotline and other options.

Supervisory Responsibility The Data Automation Manager directly supervises the Data Automation Team: one Data Engineer and two Data Technical Specialists.

Reports Directly To: TEQ Director

Works Directly With: TEQ colleagues (MEL, CARM and SI&PM), program and operational teams, the Partnerships team, partner organizations, the UACAT team, and HQ and regional technical, IT and analytics teams. .

Accountability to Participants and Stakeholders

Prosper Global team members are expected to support all efforts toward accountability, specifically to our program participants, community partners, other stakeholders, and to international standards guiding international relief and development work. We are committed to actively engaging communities as equal partners in the design, monitoring and evaluation of our field projects.

Minimum Qualification & Transferable Skills

• 5+ years of experience in data management, data engineering or analytics, including at least 2 years leading a technical team.
• Working knowledge of SQL and Python, sufficient to review the team's code, understand data pipelines and set clear technical tasks.
• Practical experience designing and running data management systems (databases, data lakes, data warehouses) and automating data workflows, including deploying scripts and using Git for version control. Experience with Azure data services (e.g., Azure SQL, Azure Data Factory, Azure Data Lake Storage) is strongly preferred.
• Experience creating and managing dashboards, preferably in Power BI (Power Query, DAX); working knowledge of SharePoint / Microsoft 365.
• Experience setting up data quality management and data governance: standards, validation rules and documentation.
• Knowledge of personal data protection requirements (GDPR and Ukrainian law).
• Understanding of MEL data: indicators, baseline and follow-up (PDM) data, disaggregation by sex, age and disability. Experience in international development or economic recovery programming is an asset.
• Proven ability to explain technical issues to non-technical colleagues and to train staff and partners.
• Experience integrating and managing data from multiple organizations, partners or external stakeholders is strongly preferred.
• Strong team coordination, listening and consensus-building skills; able to manage multiple priorities and deadlines.
• Experience working with geospatial data is preferred.
• Full working proficiency in both oral and written English and Ukrainian.

Success Factors

The successful candidate combines strong technical understanding with strategic leadership and a service-oriented mindset. They are a patient translator between technical and program teams: explains data quality in plain language, prioritizes openly and can say no, prefers simple and documented solutions over complex ones, and builds a team that others find easy to work with. They are comfortable in a changing environment and consistently deliver high-quality outputs against deadlines.

They understand how to build and manage systems that transform complex and fragmented data into reliable, accessible and actionable information. They are able to connect technical solutions to organizational goals, translating business needs into scalable data products that support decision-making, learning, accountability and impact measurement.

They have the confidence and humility to work with people of different backgrounds, use good judgement in fast-changing situations and build solid working relationships with Prosper Global staff and partners.

Living Conditions / Environmental Conditions

The position is based in Kyiv, Dnipro or Lviv and requires occasional travel to program locations, which may include areas where freedom of movement is limited.

Ongoing Learning

In support of our belief that learning organizations are more effective, efficient and relevant to the communities we serve, we empower all team members to dedicate 5% of their time to learning activities that further their personal and/or professional growth and development

Team Engagement and Effectiveness

Achieving our mission starts with how we build our team and collaborate. By bringing together individuals with a variety of experiences, backgrounds, and perspectives, we strengthen our ability to solve complex challenges and drive innovation. We foster a culture of trust and respect, where every team member is valued for their contributions, empowered to reach their full potential, and motivated to do their best work.

We recognize that building a strong and effective team is an ongoing process, and we remain committed to learning, improving, and growing together.

Equal Employment Opportunity

Prosper Global is an equal opportunity employer committed to providing equal employment opportunities to all employees and qualified applicants for employment without regard to race, color, sex, sexual orientation, religion or belief, national origin, age, disability, marital status, veteran status, or any other characteristics protected under applicable law.

Safeguarding & Ethics

Prosper Global is committed to ensuring that all individuals we come into contact with through our work, whether team members, community members, program participants or others, are treated with respect and dignity. We are committed to the core principles regarding prevention of sexual exploitation and abuse laid out by the UN Secretary General and IASC and have signed on to the Interagency Misconduct Disclosure Scheme. We will not tolerate child abuse, sexual exploitation, abuse, or harassment by or of our team members. As part of our commitment to a safe and inclusive work environment, team members are expected to conduct themselves in a professional manner, respect local laws and customs, and to adhere to Prosper Global Code of Conduct Policies and values at all times. Team members are required to complete mandatory Code of Conduct elearning courses upon hire and on an annual basis.

As an applicant, if you witness or experience any form of sexual misconduct during the recruitment process, please report this to Prosper Global Integrity Hotline (integrityhotline@prosperglobal.org).

Deadline for submission of applications: 15 November 2026

Only pre-selected candidates will be contacted for an interview.

People with disabilities and veteran status are welcome to apply.

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