Head of Data Quality Systems

This is a fully remote position, open to applicants in Kenya.

📋 Description

• Establish data quality standards for farmer registries, focusing on completeness, verification evidence, and program objectives.

• Develop a data quality architecture that includes validation rules for data collection apps, record arrival pipelines, anomaly detection, and dashboards.

• Create a matching layer that connects records to national IDs, land, and other governmental databases.

• Formulate deduplication logic.

• Design verification systems for back-checks, phone verifications, and audits, incorporating sampling, scoring, and follow-up processes.

• Collaborate with the Product team to integrate quality rules into the collection application.

• Work alongside Field Operations regarding enumerator payment, supervision, and training procedures.

• Ensure the data quality system is reusable for each new registry.

• Lead data quality presentations for government clients and facilitate discussions at a senior level.

• Guarantee adherence to data protection regulations in each country of operation.

• Recruit, lead, and develop analysts and engineers tasked with daily checks, audits, and reporting.

• Create a cohesive quality framework and system design applicable across registries.

• Launch and sustain the core system across active programs, providing weekly quality reports for project leaders.

• Leverage AI models such as OCR, face matching, and large language models to automate checks while ensuring appropriate human oversight, accuracy, and fairness.

⛳️ Requirements

• A minimum of 8 years in data quality, data engineering, or survey operations.

• At least 4 years of experience in team leadership.

• Proven track record in designing and constructing data quality systems at scale, including automated validation pipelines, anomaly detection, and record linkage.

• Experience overseeing data quality for national-scale field collection involving 500,000 or more records.

• Background in building and managing a team responsible for routine quality checks and audits.

• Proficient in SQL and Python or R, capable of setting technical direction and reviewing team outputs.

• Familiarity with mobile data collection tools such as ODK, SurveyCTO, KoBo, or CommCare.

• Insight into how form design impacts data quality.

• Excellent English communication skills, with the ability to convey data concepts to non-technical audiences, including senior government officials.

• Proficiency in French is a significant advantage.

• Experience with digital public infrastructure, ID systems, or registries funded by the World Bank or other donors is beneficial.

• Knowledge of geospatial data, including GPS coordinates and farm boundaries, is advantageous.

• Familiarity with agriculture or smallholder farmer programs in Africa is a plus.

🏝️ Benefits

• Flexible remote work from anywhere within the UTC+0 to UTC+4 time-zone range.

• Approximately 25% travel to field sites and client meetings.

• Opportunity to lead and develop a team.

• Engage in digital public infrastructure projects that benefit farmers and governments.

• Gain exposure to AI models such as OCR, face matching, and large language models.