Program Manager, Tech

About This Role

This role involves owning and driving complex, multi-country data collection programs end-to-end, translating client SOWs into executable programs, and managing diverse contributor networks to deliver high-quality datasets at scale.

Responsibilities

• Translate client SOWs into executable programs, defining scope, timelines, budgets, workforce models, and quality control frameworks
• Solve operational bottlenecks in real time, addressing issues like participant churn, equipment problems, location access, or low-quality submissions
• Ensure data meets specifications, surpasses accuracy thresholds, and complies with global privacy, consent, and data protection laws
• Act as the primary program point of contact for clients, internal teams, and external vendors, providing progress reports, risk assessments, and mitigation plans
• Monitor collection KPIs via dashboards, identify issues early, and drive corrective action
• Codify learnings into playbooks and SOPs for repeatability and faster future deployments
• Influence the tech roadmap to build a world-class data collection engine
• Work with privacy, legal, operations, and supply teams to unlock new use cases, markets, and scale programs

Requirements

• 8+ years experience in program management or operations
• Strong background in field execution, network rollout, retail infrastructure setup, survey/logistics operations, or IoT deployments
• Proven ability to design and manage multi-region programs involving devices, people, and data workflows
• Experience managing large external vendor ecosystems and multi-million-dollar budgets
• Strong stakeholder management skills
• Ability to translate complex technical requirements into executable field plans
• Excellent leadership, problem-solving, and communication abilities

Qualifications

• 8+ years experience in program management or operations, with a strong background in field execution, network rollout, retail infrastructure setup, survey/logistics operations, or IoT deployments.

Nice to Have

• Experience in AI data collection, autonomous systems, or network data testing environments
• Familiarity with sensor-based collection technologies (LiDAR, cameras, GPS, or RF-based systems)

Skills

* Required skills

Benefits