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Head of Human Data Operations

Posted 19 days agoViewed

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💎 Seniority level: Lead, Extensive experience in operations, workforce management, or a related field

🔍 Industry: AI technology and data operations

🏢 Company: Prolific

⏳ Experience: Extensive experience in operations, workforce management, or a related field

Requirements:
  • Extensive experience in operations, workforce management, or a related field, ideally within AI, tech, or high-growth environments.
  • Expertise in scaling human data or talent supply ecosystems, focusing on quality, efficiency, and diversity.
  • Strong background in leading teams and managing high-impact cross-functional initiatives.
  • Proven ability to design and execute scalable operational frameworks for global workforces or data pipelines.
  • Experience in designing and implementing training, certification, and upskilling programs for technical roles.
  • Proficiency in analyzing performance metrics and using insights to drive improvements.
  • Skilled at managing stakeholders and aligning cross-functional teams toward shared objectives.
  • Familiarity with AI/ML lifecycle processes, including data labeling and ethical considerations.
Responsibilities:
  • Develop and execute the vision and strategy for Prolific’s human data operations.
  • Lead and grow a high-performing team focused on participant acquisition, onboarding, enrichment, support, and task performance monitoring.
  • Build a scalable operating model to ensure a high-quality supply pipeline that meets the diverse needs of AI customers.
  • Oversee recruitment, onboarding, and verification of participants, ensuring scalability and diversity.
  • Drive the development of comprehensive upskilling programs to meet emerging AI customer requirements.
  • Ensure training initiatives are deployed via Prolific’s platform optimized for participant success.
  • Collaborate with product teams to enhance platform features that improve participant experience and task fulfillment.
  • Act as the primary point of contact for strategic AI customer projects, ensuring alignment between supply and project deliverables.
  • Build strong relationships with SMEs to ensure access to specialized knowledge for domain-specific tasks.
  • Pioneer innovative approaches to human data operations, leveraging emerging technologies to enhance participant engagement.
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