Director, People Science and Insights
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Job Description
People Science Director leading psychometric validation, engagement research, and advanced talent analytics. Managing five analysts for Kyndryl, a global technical services company modernizing mission-critical systems.
Responsibilities:
- Drive talent and engagement analytics through the People Science team
- Optimize development and deployment of employees’ skills
- Oversee psychometric validation, continuous listening systems, and advanced talent analytics
- Drive analytics supporting employee and leadership development, training, project matching, assessment tools, and leadership development
- Oversee psychometric modeling, assessment validation, Item Response Theory, and Organizational Network Analysis using skills graphs
- Design and refine performance management systems
- Evaluate organizational networks and interactions to improve productivity, culture, and employee satisfaction
- Lead enterprise employee listening strategies and survey architectures
- Develop and analyze employee engagement surveys and continuous listening systems
- Conduct research supporting new talent analytics and strategies
- Partner with CHRO, C-suite, business unit leaders, and senior executives
- Translate analytic results into actionable business insights
- Manage and mentor a team of 5 analysts and psychometricians
- Provide coaching, technical-deliverable oversight, and strategic roadmap direction
- Collaborate with data science, engineering, HR, business, and executive teams to deploy analytical models into production
Requirements:
- 7+ years of experience executing advanced analytics in large-scale enterprise environments
- Experience with psychometric techniques, including Item Response Theory
- Experience with Organizational Network Analysis leveraging skills graphs
- Experience deploying models into production
- Proven management experience leading, mentoring, and developing analytics or technical personnel
- Ability to manage multiple projects simultaneously with strong attention to detail
- Exceptional written, verbal, and presentation skills
- Experience partnering with senior stakeholders and communicating complex insights to technical and non-technical audiences
- Hands-on proficiency in R, Python, SPSS, SAS, and Cypher/graph analytics
- Working knowledge of ML modeling environments and platforms, including Azure ML, Vortex AI AutoML, and SageMaker
- Ability to work independently and collaboratively
- Master’s degree or Ph.D. in Industrial-Organizational Psychology, Psychometrics, Statistics, or a related quantitative field is preferred
- Prior experience within professional services or fast-paced matrixed organizations is preferred
Benefits:
- Discretionary annual bonus program based on performance
- Medical and dental coverage
- Disability benefits
- Retirement benefits
- Paid leave
- Paid time off
- Hands-on experience and learning opportunities
- Certification opportunities across four major platforms, including Microsoft, Google, Amazon, and Skillsoft
- Employee learning programs and access to professional certifications
- Company-wide volunteering and giving platform
- Inclusion Networks and workplace support
- Well-being benefits supporting employees and families
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