Head of Data Quality Systems

Job not on LinkedIn

🔥 13 hours ago

🇰🇪 Kenya – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PULA

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🌾 Agriculture

🛡️ Insurance

Agriculture • Insurance • Technology

PULA is an agricultural insurance and technology company that designs and delivers innovative insurance and digital products to support smallholder farmers. They provide specialized crop and livestock insurance solutions, along with data services related to yield data collection and EUDR compliance services. Their aim is to help farmers manage yield risks, improve farming practices, and increase incomes. PULA has been recognized globally for its impact and innovation in the insurtech industry.

📋 Description

• Set data quality standards for farmer registries, including completeness, verification evidence, and program targets • Design data quality architecture covering collection-app validation rules, record-arrival pipelines, anomaly detection, and dashboards • Build the matching layer linking records to national ID, land, and other government databases • Develop deduplication logic • Design verification systems for back-checks, phone verification, and audits, including sampling, scoring, and follow-up • Partner with Product to embed quality rules in the collection app • Partner with Field Operations on enumerator payment, supervision, and training processes • Make the data quality system reusable for every new registry • Own data quality presentations to government clients and lead senior-level discussions • Ensure compliance with data protection laws in each operating country • Hire, lead, and develop analysts and engineers responsible for daily checks, audits, and reporting • Establish a unified quality framework and system design across registries • Launch and maintain the core system across active programs with weekly quality reports for project leads • Use AI models such as OCR, face matching, and large language models to automate checks while ensuring appropriate human review, accuracy, and fairness

🎯 Requirements

• 8 or more years in data quality, data engineering, or survey operations • At least 4 years leading teams • Track record of designing and building data quality systems at scale, including automated validation pipelines, anomaly detection, and record linkage • Experience owning data quality for national-scale field collection with 500,000 or more records • Experience building and leading a team responsible for day-to-day quality checks and audits • Strong SQL and Python or R skills sufficient to set technical direction and review team work • Understanding of mobile collection tools such as ODK, SurveyCTO, KoBo, or CommCare • Understanding of how form design affects data quality • Clear English and ability to explain data to non-technical people, including senior government officials • French is a strong advantage • Experience with digital public infrastructure, ID systems, or World Bank or donor-funded registries is advantageous • Experience with geospatial data, including GPS points and farm boundaries, is advantageous • Experience with agriculture or smallholder farmer programs in Africa is advantageous

🏖️ Benefits

• Remote work from anywhere within the UTC+0 to UTC+4 time-zone range • About 25% travel to field sites and client meetings • Opportunity to lead and grow a team • Work on digital public infrastructure serving farmers and governments • Exposure to AI models including OCR, face matching, and large language models