Survey Operations and Methods Manager

Fraym•Arlington, VA

2d•Remote

About The Position

Fraym generates precise, localized data on demographics, attitudes, and behaviors, down to the town or village level. Organizations worldwide use our geospatial data to understand social and economic dynamics, design effective programs, and monitor investments across public health, economic development, climate resilience, security, and humanitarian response. Through survey research, geospatial analysis, and AI/ML, we are building scalable data infrastructure for mapping humanity. The survey programs you manage will directly power AI/ML models that map demographic and behavioral patterns across some of the world’s most data-scarce regions. We are looking for a Survey Operations and Methods Manager to own the execution and continuous improvement of these complex international survey programs. While primarily managing the full lifecycle of survey execution you will also collaborate with Data Science to improve our training data. This role is ideal for someone who enjoys solving operational challenges in globally diverse environments. As a member of a lean and collaborative Product team, you will have significant ownership and visibility across Fraym’s operations. This role reports to the VP of Product. Growth and Trajectory In Year 1, success means learning Fraym's workflows, building operational ownership over survey programs, and delivering complex international surveys reliably at scale. By Years 2 and 3, the role shifts toward designing better surveys, scaling quality assurance, and collaborating strategically with Data Science on training data and methodologies. Longer term, this is not a coordinator position. As Fraym scales its geospatial and AI/ML infrastructure, there is a clear path to senior individual contributor or leadership. We are looking for someone who will grow with the company and own this capability area. We value thoughtful decision-making, operational ownership, and continuous improvement.

Requirements

Bachelor’s degree in statistics, economics, geography, public health, political science, development studies, sociology, data science, or a related quantitative discipline.
4-6 years of experience in survey operations, research coordination, M&E, data collection management, or related roles.
Track record coordinating complex data collection across multiple stakeholders and timelines.
Solid understanding of survey methods, survey statistics, and data quality management.
Strong organizational and project management skills with sharp attention to detail.
Clear, proactive communication skills suited to a fully remote, cross-functional environment.
Proficiency in Excel and Google Sheets for operational tracking, QA/QC, and analysis.
Comfort learning and using technical tools, scripts, and AI-assisted workflows.

Nice To Haves

Experience with international surveys, public opinion research, humanitarian data collection, or geospatial data programs.
Experience in fragile, low-connectivity, or operationally complex environments.
Familiarity with survey platforms (e.g., Alchemer, Dynata, Cint, PureSpectrum, Geopoll) and project management tools (e.g., ClickUp).
Exposure to geospatial data, spatial statistics, QGIS, or Python/R for survey operations.
French, Spanish, Arabic, Russian, Mandarin or other languages relevant to Fraym's work.

Responsibilities

Manage multiple simultaneous survey projects across diverse geographies, timelines, and modes.
Coordinate external survey vendors and fieldwork partners from setup through final delivery.
Support questionnaire development, survey design, sample size estimation, and mode selection alongside Project teams.
Monitor implementation timelines, risks, budgets, and deliverables; flag issues early.
Run QA/QC processes for survey data, reviewing for quality, consistency, and completeness.
Use existing scripts, tools, and AI-assisted workflows to support quality assurance.
Collaborate with Data Science to improve methods and training data quality over time.
Identify bottlenecks and improve standard operating procedures and scalability.
Document workflows, decisions, and project learnings clearly and consistently.