Manager, Human Data Operations
Skills
Continuous ImprovementData AnalyticsFinanceKey Performance IndicatorsLabelsLean PrinciplesOperations
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2+ years of people leadership experience managing Team Leads or equivalent managers
- Proven delivery of high-quality operations at scale in data annotation AI training evaluation content quality operations or similar domains
- Basic understanding of AI ML concepts and the impact of training data on model performance
- Familiarity with project management tools such as Notion JIRA Linear or Axiom
- Strong track record of building and improving data quality systems and operational processes
- Ability to manage performance develop talent and scale teams in a fast-paced environment
- Experience managing a globally distributed workforce with mixed employment types
- Proficiency in SQL and data analysis to drive continuous improvement
- Specialty or strong domain expertise in Finance STEM Coding Software Engineering or other technical fields
- Excellent communication and interpersonal skills
- Strong organizational skills and high attention to detail
- Proactive problem-solving mindset
- Previous experience building or scaling a Human Data AI Tutors organization
- Strategic thinking combined with strong hands-on execution
- Experience creating training programs and certification frameworks at scale
Nice to have
- Hands-on leadership
- High accountability
- Meritocratic mindset
- Strong prioritization
- Curiosity
- Engineering excellence
- Cross-functional alignment
Day to day
- Lead the Human Data function to deliver high-quality training data and evaluations that support model development.
- Manage Team Leads and AI Tutors across a globally distributed workforce while maintaining strong standards and accountability.
- Improve operational systems, quality assurance, and training programs to scale data delivery efficiently and consistently.