job
Data Quality Review Team Lead
Organization SoCha LLCLocation United States of AmericaType FULL TIMEPosted 14 May 2026Deadline 13 Jun 2026
Monitoring and Evaluation
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Full Description
**Overview**
SoCha is a US-based analytical services firm that assesses international projects funded by the US Government. SoCha is bidding on a five-year opportunity to provide DQR services to MCC worldwide. MCC is a U.S. Government corporation whose mission is to provide assistance that supports economic growth and poverty reduction in carefully selected countries that demonstrate a commitment to just and democratic governance, economic freedom, and investments in their citizenry.
SoCha is seeking a highly qualified **Data Quality Review Team Lead** for an anticipated five-year opportunity to provide Data Quality Review services to the Millennium Challenge Corporation (MCC) worldwide.
The Team Lead will serve as the primary technical and managerial point of contact for MCC and will oversee the delivery of Data Quality Reviews, data quality improvement support, capacity-building activities, learning products, and related technical directives. The role requires strong technical knowledge of DQR methodology, excellent client management skills, and the ability to lead multidisciplinary teams across multiple countries and sectors.
SoCha prefers an exclusive bidding arrangement for this position.
*Applicants must be US citizens.*
**Key Responsibilities**
- Serve as SoCha’s primary liaison with MCC, including the Contracting Officer’s Representative, Project Monitor, MCC M&E staff, MCA/Accountable Entity counterparts, implementing entities, government institutions, and other stakeholders.
- Lead the design, management, and implementation of MCC-aligned Data Quality Reviews across sectors such as energy, agriculture and irrigation, education, land, transportation, and WASH.
- Ensure DQRs assess data quality against MCC’s core criteria: **accuracy, timeliness, consistency, and transparency**.
- Oversee reviews of indicator definitions, data sources, data flows, collection tools, reporting systems, verification processes, institutional responsibilities, and source documentation.
- Lead or review DQR inception reports, methodological notes, data collection plans, fieldwork plans, interview guides, data verification templates, evidence matrices, findings, recommendations, and final reports.
- Provide technical leadership for both full DQR assignments and lighter-touch support tasks, including reviews of external DQR reports, datasets, data collection tools, and draft findings.
- Manage multidisciplinary teams, including sector experts, statisticians, institutional strengthening specialists, GIS/database specialists, local consultants, and other on-call experts.
- Oversee approximately three DQRs and four to five follow-on or related data quality assignments per year, subject to MCC’s needs.
- Ensure clear team roles, timelines, deliverable expectations, quality assurance processes, and accountability mechanisms.
- Review and approve major technical deliverables before submission to MCC, ensuring they are concise, evidence-based, practical, and aligned with MCC expectations.
- Lead internal quality assurance reviews and ensure deliverables respond effectively to MCC comments and consolidated feedback.
- Support oral presentations, stakeholder workshops, findings workshops, learning events, and Q&A sessions with MCC and partner country stakeholders.
- Lead or oversee capacity-building activities for MCC, MCA, partner country staff, implementing entities, and data producers on DQR methods, data verification, indicator documentation, and data quality improvement.
- Support the design and implementation of DQR Action Plans and Data Quality Improvement Plans.
- Contribute to learning products, thematic reviews, data quality tools, presentations, and knowledge products based on DQR findings.
- Coordinate with SoCha’s project management, finance, HR, recruiting, and leadership teams as needed.
- Support budget oversight, performance reporting, work planning, and continuous improvement of contract performance.
**Required Qualifications**
- U.S. citizenship required.
- Master’s degree or higher in economics, statistics, monitoring and evaluation, public policy, international development, data science, social sciences, or another relevant field.
- Minimum 10 years of experience in performance monitoring, data quality reviews, data quality assessments, M&E systems, or results measurement in developing countries.
- Minimum 10 years of experience managing multi-sector teams to achieve specific measurable results.
- Demonstrated ability to lead complex assignments involving government officials, donor agencies, project implementers, utility or sector institutions, and project participants.
- Strong knowledge of DQR methodology, indicator systems, M&E Plans, Indicator Tracking Tables, data flow mapping, source documentation, and verification protocols.
- Excellent interpersonal, cross-cultural, facilitation, and communication skills.
- Excellent English writing, editing, presentation, and client-facing communication skills
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