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About the Role

This position focuses on Organizational Performance Indicators (OPIs), Organizational Outcome Measurement (OOM), and Monitoring, Evaluation, and Learning (MEL) program support. The role involves developing systems for collecting, reporting, and tracking OPIs, curating programmatic data, and analyzing data to support strategic goals. The Senior Advisor will promote the integration of OPIs into strategic workplans and support OOM by analyzing data, identifying interdependencies, and developing dashboards. The role also involves promoting the MEL Tech suite, supporting data integration, and providing training in data management, visualization, and Value for Money (VfM).

Responsibilities

Coordinate and support the alignment of OPIs across various units, departments, regions, and country offices.
Oversee and lead the OPI working group in refining OPIs, determining data collection cycles, aligning data protocols, developing standard operating procedures, and promoting integration across technology platforms.
Act as a key organizational authority on OPIs, providing strategic guidance and engaging with senior agency stakeholders.
Lead efforts to disaggregate, refine, and adapt OPIs to maintain accuracy, relevance, and alignment with organizational decision-making and strategic priorities.
Work closely with the SRU to integrate selected OPIs in country and regional strategies through webinars and key communication events.
Act as a technical advisor to Country and Regional teams, ensuring appropriate integration of OPIs in their strategic workplans.
Oversee standardization of measurement units, alignment of reporting schedules, and synchronization of data sources with global reporting mechanisms.
Produce ad-hoc reports for senior leaders, including the Board of Directors, Executive Leadership Team, and Leadership Team, showcasing OPIs and related metrics.
Strengthen data literacy within the organization on the appropriate use of OPIs at various levels.
Lead OPI reporting cycles and set expectations for the delivery of new functionalities.
Actively seek and encourage feedback from stakeholders to inform the prioritization of new product features and enhancements.
Design, implement, and oversee the strategic scaling of a comprehensive framework for the systematic collection, analysis, and reporting of OPIs.
Oversee the collection of OPIs from various units, ensure data quality and consistency, and identify areas for improvement.
Lead efforts to identify and address systemic gaps, driving continuous improvement and alignment with organizational standards and goals.
Work with data-contributing teams to refine their data collection and management processes for individual OPIs.
Lead the development of a data infrastructure to automate data ingestion into Fabric and visualization in PowerBI, with support from IT and the Data Strategy Working Group.
Streamline existing organizational reporting and data collection efforts to reflect OPI reporting and facilitate data transfer.
Analyze OPI data regularly or on demand, producing brief reports as requested.
Conduct, facilitate, and co-facilitate sensemaking sessions to contextualize, localize, and ground truth observations and analysis.
Work closely with other Strategy Measurement team members to integrate OPI progress analysis into overall Strategy Results Measurement and progress tracking.
Analyze programmatic quantitative data reported through TolaData and supplementary sources.
Create clear, easy-to-understand, and relevant data analysis products and results, including dashboards for country and regional users.
Support OOM report writing, including providing clear interpretations of data analysis.
Liaise with the MEL automation team to coordinate data gathering, cleaning, and analysis efforts.
Support the analysis efforts of the annual Mapping Our Reach participant count, including dashboard development, quality assurance, and final reporting.
Support the HQ MEL Tech team in the rollout of the MEL Tech suite with programs.
Work with IT, MEL, and T4D towards data integration to promote data use and learning.
Provide technical assistance in areas using a blend of datasets and methods, including Value for Money (VfM) and internal performance reviews.
Support organizational efforts in generating cost-efficiency analysis by conducting VfM analysis based on donor requests and programmatic needs.
Co-lead the workstream on Generative AI and data integration across MEL, Finance, People Team, and others.
Ensure data integration across departments and automate data ingestion in OPI dashboard, OOM products, and program delivery outputs.
Provide training and capacity building support to teams in data management, visualization, and VfM.

Requirements

BA/MA in international development, social science, MEL, data analysis, or related sector (or equivalent hands-on experience) and relevant certifications preferred.
At least 7 years of experience in aggregating and reporting data across various programs, or for agency-level indicator measurement, including environmental, social and governance (ESG) measurement.
Experience with similar agency reporting mechanisms, such as Balance ScoreCards, and ESG reporting highly preferred.
Deep knowledge of data management is required, including standardization of data variables, data cleaning, data analysis, and reporting.
Expertise in producing interactive data visualizations, communicating data findings, ground truthing, and producing reports on data findings that are understandable and accessible to a wider audience is mandatory.
Demonstrated previous success in other employment opportunities in data visualization and communication is required.
Knowledge of how to produce and communicate accessible interactive dashboards and help interpret and communicate findings is mandatory.
Prior experience supporting or leading the development of databases is preferred.
Strong understanding of data engineering, data structures, and building data models is preferred.
Familiarity with mobile data collection platforms is required.
Advanced experience with Power BI, including DAX and M languages is required.
Familiarity with data automation, Microsoft Azure, and SQL is an added advantage.
Knowledge of English is required.
Knowledge of French, Arabic, or Spanish is preferred.
Demonstrated abilities and track record in strategic systems and holistic thinking, managing resistance to change, and understanding of organizational culture and behavior, learning, and change management.
Strong organizational and process management capabilities.
Ability to effectively set priorities and handle competing time and resource demands for self and others.
Comfortable working independently and with limited oversight in a fast-paced environment across diverse teams.
Ability to prepare compelling presentations, written reports, data visualizations, and effectively present work/findings in international forums.
Strong communication and facilitation, mentoring, and training skills both in person and virtually.
A strong team player, able to successfully cultivate and maintain relationships internally within Prosper Global and externally with professional networks.
Demonstrated conversation and presentation skills that can influence decision makers and foster organizational change.
Ability to implement and adjust communication strategies within a complex organizational setting.
Ability to lead a group of departmental focal points responsible for OPI reporting, including gathering feedback, providing key updates, and ensuring indicator leads meet deliverables.
Proven experience cleaning, ingesting, modeling, and visualizing complex data sets from across the agency in a clear, concise manner.
DAX and/or m script coding skills to build custom measures and columns in support of OPI reporting in Power BI.
Ability to consult with and advise data-contributing teams on data collection/measurement best practices.
Strong analysis and writing skills that highlight key changes and findings related to organizational health and performance.
Proven experience in the development of toolkits and resources based on scope and sequenced approach.

Skills

Data Management
Data Standardization
Data Cleaning
Data Analysis
Data Reporting
Interactive Data Visualizations
Data Findings Communication
Ground Truthing
Report Production
Database Development
Data Engineering
Data Structures
Data Models
Mobile Data Collection Platforms
Power BI
DAX
M Languages
Data Automation
Microsoft Azure
SQL
Strategic Critical Thinking
Evaluative Thinking
Systems Thinking
Holistic Thinking
Change Management
Organizational Culture
Organizational Behavior
Learning Management
Process Management
Prioritization
Time Management
Resource Management
Independent Work
Presentation Skills
Report Writing
Data Visualization
Facilitation Skills
Mentoring Skills
Training Skills
Relationship Building
Influencing Skills
Organizational Change
Team Leadership
Data Ingestion
Data Modeling
Value for Money (VfM) Analysis
Generative AI
Cost-Efficiency Analysis

Location

UK
Europe (Netherlands, France, Belgium, Switzerland)

Work Type

Full-Time
On-going

Experience Level

Commensurate with professional experience
At least 7 years of experience

Education Level

BA/MA in international development, social science, MEL, data analysis, or related sector (or equivalent hands-on experience)

Salary/Compensations

UK £60,030
NL and other EU countries €70,920

About the Company

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.
They 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, they changed their name from Prosper Global to Prosper Global, to reflect their belief that when every community can prosper, all of humanity moves forward.

Equal 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.