People Analytics Lead
- Serve as thought leader and trusted advisor to senior leaders, influencing strategic talent decisions on workforce planning, retention, and organizational effectiveness.
- Build and execute predictive models for turnover risk, performance prediction, engagement forecasting, and talent pipeline analytics.
- Lead advanced analytics projects, such as compensation equity analysis, workforce planning scenarios, and more.
- Lead cross-functional initiatives and build coalitions across Recruiting, Compensation, People Systems, and business units to drive data-informed practices.
- Manage and develop a team across the US, developing team members into technical experts and future leaders.
- Establish analytics function standards, policies, and governance frameworks ensuring methodological rigor and data security.
- Oversee migration of people data into cloud data platform and guide development of self-service dashboard ecosystem.
- Evaluate and implement AI tools for People Team processes and build automation for analytics workflows.
- Conduct strategic people research using survey, performance, and organizational data to inform broad decision-making.
- Partner with People Systems team on data architecture and integrations across HRIS, performance management, and applicant tracking systems.
- Mentor emerging leaders in other People functions on data-driven decision-making.
- 8+ years experience in people analytics, data science, I-O psychology, or related fields with demonstrated progression of responsibility and impact
- 3+ years people management experience leading technical teams with track record developing high performers
- Master's degree in I-O Psychology, Statistics, Data Science, or related quantitative field
- Advanced statistical modeling/expertise using Python and/or R
- Strong SQL skills and experience with cloud data platforms (e.g., Databricks, Snowflake, AWS Redshift)
- Proficiency with business intelligence and data visualization tools
- Deep expertise in People metrics, survey methodology, and people research design
- Experience building predictive models in HR contexts that drive business decisions
- Proven ability to influence senior executives and translate complex analytics into strategic recommendations
- Demonstrated success managing complex data infrastructure projects and establishing function-level standards
- Experience implementing AI/ML solutions in HR or analytics workflows
- Background in compensation analysis, pay equity studies, and workforce planning
- Track record building analytics functions from early stages through scale
- Recognized thought leader with publications, conference presentations, or industry contributions
- Experience navigating fragmented data systems and building coalitions across organizational boundaries
- Familiarity with aerospace, manufacturing, or high-growth technology environments
- Experience leading analytics for global or distributed workforces across multiple locations
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