Vacancy title:
Senior Data Quality Officer

[Type: FULL_TIME, Industry: Nonprofit, and NGO, Category: Computer & IT]

Jobs at:
Rainforest Alliance

Deadline of this Job:
Friday, July 25 2025

Duty Station:
Nairobi | Nairobi | Kenya

Summary
Date Posted: Tuesday, July 15 2025, Base Salary: Not Disclosed

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JOB DETAILS:

Position summary:

• At Rainforest Alliance, we believe data is a powerful tool for driving impact. Our Data Management and Intelligence department is working to unlock that potential by building scalable data products, supporting smart decision-making across the organization and laying a solid foundation for how we handle and use data moving forward.
• As Senior Data Quality Officer, within the Data Management team, you’ll be responsible for continuously iterating and maintaining the relevant frameworks and processes in place to guarantee that data is accurate, consistent and trusted. You’ll take the lead in implementing automated validation checks, collaborating with data owners and stewards to address data quality issues at their source, and supporting teams in embedding data quality practices into their daily workflows.
• We’re looking for a meticulous and analytical Senior Data Quality Officer who combines a sharp eye for data integrity with a solid grasp of the broader business landscape. The ideal candidate thrives in data-centric environments and is skilled at bridging the gap between technical and non-technical teams. A solid understanding of data ethics and the ability to integrate ethical considerations into everyday practices is essential. If you're passionate about building trust in data and driving quality at scale, this role could be a perfect fit.

Responsibilities: 

• Develop and implement data quality frameworks including standards, policies, KPIs and monitoring mechanisms to support the organization's overall data strategy.
• Design and maintain data validation processes, focusing on automated rules at critical points in the data lifecycle.
• Lead the identification and resolution of data quality issues, driving root cause analysis, resolution planning and continuous improvement tracking.
• Embed data quality controls into systems and pipelines by working closely with system owners, IT teams, data engineers, and architects.
• Collaborate across departments to ensure alignment of data quality expectations and practices.
• Support and guide data stewards and users, offering training, resources and best practices to detect, report and resolve data issues efficiently.
• Maintain clear documentation for data quality rules, workflows, roles and responsibilities to ensure transparency and continuity.
• Support master data governance, ensuring reference data is standardized, maintained and well-documented through data dictionaries and metadata resources.
• Lead all aspects the rollout and evolution of the Rainforest Alliance Data Quality Framework, ensuring its practical application across the organization, with a key focus on Products.
• Lead the Data Quality Working Group within the Data Governance organization by coordinating issue management, facilitating cross-team collaboration, and advancing complex issues to the Data Governance Council.
• Act as a bridge between business and IT, translating quality requirements into actionable solutions and fostering a shared responsibility for high-quality data.

Qualifications: 

• Bachelor's or Master's in Computer Science, Data Management, Information Systems, Statistics or a related field
• Demonstrated ability (6+ years’) in data quality, data management or information governance
• Demonstrated experience in leading and developing initiatives from the ground up, with a demonstrated ability to see opportunities, create structure, and drive progress independently.
• Experience in implementing process improvements and/or Data Quality Framework
• Deep understanding of data quality principles (accuracy, completeness, consistency, etc.)
• Hands-on experience with data validation tools and platforms (Excel, SQL, Power BI, Python, etc.)
• E2E experience with data visualization tools like Power BI, tableau, etc; and
• Strong documentation and communication skills

Work Hours: 8

Experience in Months: 72

Level of Education: bachelor degree

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