Senior Remote Human Data Operations Lead

Prolific; New York (NY); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Job summary

Prolific in the United States seeks a Senior Human Data Operations Partner to drive end-to-end operational processes for specialised participant pools. You will enable client-specific projects, align participant workflows with AI customer needs, and collaborate with product and tech teams to scale processes.

Your work focuses on onboarding, verification, and quality management of participants, plus cross‑functional collaboration with delivery, data, science, and customer success teams to convert

Qualifications

• Proven experience in human data operations or similar, with end-to-end process ownership.
• Strong ability to manage multiple projects and meet tight deadlines in a fast-paced setting.
• Excellent communication and documentation skills, with stakeholder enablement experience.

Responsibilities

• Develop detailed project plans and workflows to support efficient delivery.
• Maintain high-quality, diverse participant pools aligned to client needs.
• Implement verification processes to ensure participant qualifications meet requirements.
• Optimize onboarding and activation funnels to improve retention and task performance.
• Monitor engagement and quality metrics to drive improvements.
• Collaborate with product, data, science, and customer success teams to align priorities.

Skills

Project management

Operational excellence

Data analysis

Stakeholder communication

Cross-functional collaboration

Tools

Zapier

HubSpot

Job description

Prolific in the United States seeks a Senior Human Data Operations Partner to drive end-to-end operational processes for specialised participant pools. You will enable client-specific projects, align participant workflows with AI customer needs, and collaborate with product and tech teams to scale processes.

Your work focuses on onboarding, verification, and quality management of participants, plus cross‑functional collaboration with delivery, data, science, and customer success teams to convert