Director, People Science and Insights

Kyndryl•Durham, NC

2d•$179,760 - $409,800•Remote

About The Position

Kyndryl is seeking an Industrial-Organizational (I/O) Psychologist or Psychometrician to join their People Science team to drive talent and organizational analytics. This role will translate employee skills into customer impact by optimizing employee skill development and deployment, while enhancing the employee experience. As the company's talent analytics capability advances, this position will bridge statistical modeling with enterprise talent strategy, supporting recruiting, learning, engagement, performance management, leadership development, and organizational effectiveness. The role involves overseeing psychometric validation, continuous listening systems, and advanced talent analytics. Kyndryl is a global, largely remote company, and the successful candidate will join a team of 40 People and Workforce Analytics professionals, leading a team of 5 analysts and psychometricians. This role requires collaboration with engineering teams, HR professionals, data scientists, and business leaders, and direct interaction with senior leadership, including the CHRO, Head of Talent, and Head of Wellness, to translate business problems into scientifically rigorous, high-impact solutions that influence enterprise strategy and operations.

Requirements

7+ years of experience executing advanced analytics, including psychometric techniques (e.g., Item Response Theory), ONA leveraging skills graphs, and deploying models into production within large-scale enterprise environments.
Excellent problem-solving, analytical, and critical thinking skills.
Proven prior management experience leading, mentoring, and developing analytics or technical personnel.
Ability to manage multiple projects simultaneously while maintaining a high level of attention to detail.
Exceptional written, verbal, and presentation skills, with a proven ability to partner with senior stakeholders to distill actionable analytics plans from complex business problems.
Demonstrated track record of conveying complex data insights to both technical and non-technical audiences to drive executive strategy.
Hands-on proficiency in statistical coding languages (specifically R, Python, SPSS, SAS, and Cypher/graph analytics) alongside working knowledge of ML modeling environments and platforms (e.g., Azure ML, Vortex AI AutoML, SageMaker).
Ability to work effectively both independently and collaboratively as part of a group.

Nice To Haves

Master’s degree or Ph.D. in Industrial-Organizational (I/O) Psychology, Psychometrics, Statistics, or a related quantitative field (I/O Psychology or Psychometrics strongly preferred).
Prior experience within professional services or fast-paced matrixed organizations.

Responsibilities

Drive analytics to identify drivers of success to support processes and programs for employee and leadership development, including training, successful matching to projects, assessment tools, and leadership development efforts.
Oversee psychometric modeling, assessment validation (e.g., Item Response Theory), and Organizational Network Analysis (ONA) leveraging skills graphs to optimize skill deployment.
Design and refine performance management systems to support the continued evolution of Kyndryl’s workforce.
Evaluate organizational networks and interactions and identify opportunities to improve workplace productivity, culture, and employee satisfaction.
Lead enterprise employee listening strategies and survey architectures, developing and analyzing employee engagement surveys and continuous listening systems to inform continuous organizational effectiveness, enhance the employee experience, and ensure Kyndryl remains the employer of choice within the industry.
Conduct research to support the development and validation of new Talent analytics and strategies; incorporate new advancements and best practices into your work.
Partner closely with senior executives (e.g., CHRO, C-suite, business unit leaders) to understand organizational challenges.
Translate analytic results into actionable insights, framing and presenting findings through the lens of tangible business impact rather than pure academic research to inform technical and non-technical partners.
Manage and mentor a team of 5 analysts and psychometricians; provide direct coaching, oversight of technical deliverables, and drive the team's strategic roadmap.
Collaborate with internal data science and engineering teams, HR experts, business leaders, and senior executives to understand business problems, problem-solve solutions, communicate insights, and deploy advanced analytical models smoothly into production.