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This Volunteer Placement is Located in: Cali, Colombia

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Start Date: June 2026

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Placement Length: 5 months

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Language Requirements: Spanish Level 4-Advanced

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Please submit a Spanish Resume and Statement of Interest

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Eligibility: Open to Canadian Citizens and Permanent Residents of Canada only The Volunteer’s Role

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This volunteer placement offers a unique opportunity to help transform how our partner, Fundacion wwb Colombia, captures, manages, and uses its data to measure social impact.

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Following a comprehensive internal audit that identified more than 3,000 data variables and significant fragmentation across systems, the Foundation is launching a major data standardization and modernization initiative . As a volunteer, you will play a central role in shaping this transformation.

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Your primary focus will be to translate an existing technical assessment of the Foundation’s data value chain into a practical, implementation‑ready framework for data architecture and governance . You will lead the design phase and support the initial implementation, laying the foundations for a more reliable, integrated, and future‑ready data ecosystem.

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This role goes well beyond theory. Rather than delivering a standalone database solution, you will design the strategic data architecture required to turn administrative records into trusted assets for decision‑making, accountability, and social impact measurement-fully aligned with the Foundation’s current platforms, including its CRM and other information systems.

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What You Will Help Achieve

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You will provide strategic and technical guidance to help the Foundation:

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- Improve data capture at source

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Redesign data flows into the CRM to close the current 80% standardization gap , ensuring data is consistent and reliable from the point of collection.
- Automate quality control and auditing

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Define technical requirements to replace manual, Excel‑based auditing and participant re‑contact with automated validation rules embedded within operational platforms.
- Break down data silos

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Design a single source of truth that connects data currently scattered across Google Drive, local files, offline forms, and virtual classrooms.
- Build for the future

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Ensure the new data architecture supports the Foundation’s long‑term ambition to move from “detect and react” to “predict and act” through advanced analytics and AI.
As a volunteer, you will:

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- Design an integrated data architecture

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Translate existing technical assessments into a high‑level architecture connecting the CRM with current data silos, including virtual classrooms and offline data collection tools. You will design a cross‑functional data capture model that reduces operational burden on field teams and eliminates the use of “Excel as a database.”
- Standardize and normalize data variables

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Apply the proposed dimensional model (person, household, organization) to 3,057 identified variables ,



with a focus on harmonizing the 80% that require wording or structural adjustments.
- Optimize the data‑to‑audit process

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Design automated validation and control rules to replace manual checks and repeated contact with participants.
- Define an analytics and AI roadmap

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Develop clear technical requirements to support the transition from static reporting to predictive analytics and artificial intelligence.
- Establish data governance practices

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Define roles, responsibilities, and automated quality controls to ensure data accuracy, consistency, and accountability over time.
Essential Qualifications:

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- A solid qualified background in Economics, Statistics, Systems Engineering, Industrial Engineering, Information Science, Business Administration , or a related field.
- 3–5 years of hands‑on experience in implementing information systems, data management practices, data quality assurance, or analytical support within medium or large organizations.
Essential Background:

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- Proven experience designing and managing data capture and storage systems that support analysis, visualization, and process automation.
- Demonstrated ability to develop relational data models , beneficiary information systems, and modular data collection tools that enable reliable monitoring and evidence‑based decision‑making in social programmes.
- Strong experience collaborating with interdisciplinary teams across analysis, IT, and operations , supporting data standardization and improved data capture workflows.
- Applied knowledge of CRM systems, digital forms, relational d

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📌 Data Architecture & Governance Advisor - Spanish Required (Dollard-Des Ormeaux)
🏢 Recognized
📍 Dollard-Des Ormeaux