Data Architecture & Governance Advisor - Spanish Job White Rock area,BC Canada,IT/Tech

Position: Data Architecture & Governance Advisor - Spanish Required

This Volunteer Placement is Located in: Cali, Colombia

Start Date: July 2026

Placement Length: 5 months

Language Requirements: Spanish Level 4-Advanced

Please submit a Spanish Resume and Statement of Interest

Eligibility: Open to Canadian Citizens and Permanent Residents of Canada only

The Volunteer’s Role

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.

The main objective of this placement is to translate a comprehensive technical assessment of the Foundation’s data value chain into a robust data architecture and governance framework. Following an internal audit that identified over 3,000 variables and a high degree of fragmentation, the volunteer will lead the design and basic implementation phases of our data standardization project.

The volunteer will go beyond theory to lay the technical foundations for implementation, ensuring full alignment with the Foundation’s current platforms (such as our CRM and existing information systems). Rather than a simple database fix, the volunteer will design the strategic architecture needed to transform our administrative records into reliable assets for measuring social impact.

We expect the volunteer to provide high-level recommendations on how to optimize our current tools to:

- Refine data capture logic: redesign the data flow into the CRM to eliminate the 80% standardisation gap that currently exists at source.

- Automate auditing: develop the technical requirements to move from manual Excel-based auditing and the forwarding of contacts to participants, to automated validation rules within our platforms.

- Unify silos: design a ‘single source of truth’ that connects the disparate data currently residing in Google Drive, local files and virtual classrooms into a cohesive system.

- Scale for the future: ensure that the new architecture is compatible with our roadmap towards predictive analytics and AI, moving from ‘detect and react’ to ‘predict and act’.

As a volunteer, your duties will include:

Architectural design for platform integration: translating existing technical assessments into a high-level data architecture that integrates the CRM with current ‘silos’, such as virtual classrooms and offline forms. This includes designing a cross-cutting data capture model that minimizes the operational burden on field teams and eliminates the practice of using ‘Excel as a database’.

Standardization and normalization of variables: apply the proposed dimensional model (person, household, business) to the 3,057 identified variables, focusing on the 80% that require wording adjustments.

Optimization of the ‘Data Capture to Audit’ chain: design automated validation rules to replace current manual processes and re-contact participants

Analytical scalability and roadmap: develop technical requirements for the transition from static reports to advanced predictive models and artificial intelligence.

Governance framework: define roles, responsibilities and automated quality controls (audits) to replace manual contact with participants.

Essential

Qualifications:

Solid professional background in Economics, Statistics, Systems Engineering, Industrial Engineering, Information Science, Business Administration or related fields.

3 and 5 years of practical experience in the operational implementation of information systems, data management, data quality assurance and support for analytical processes in medium and large organizations.

Essential Background:

Proven experience in the design and management of data capture and storage systems to support data analysis, visualization, and process automation. Experience in developing relational data maps, structuring beneficiary information systems and creating modular data collection tools that enable reliable monitoring and decision-making for social programmes.

Demonstrated ability to work collaboratively with interdisciplinary teams in the fields of analysis, information technology and operations, supporting information standardization processes and improving data capture workflows. Strong applied knowledge of data…