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Temi Ariyo
Temi Ariyo

Temi Ariyo

People Analytics Consultant
Okta
Bio

Temi Ariyo is a People Analytics Consultant and founder of People Analytics Consultants Inc., where she partners with fast-growing organizations to build scalable, insight-driven workforce strategies. Her work spans advanced analytics, employee listening, predictive workforce planning, and the design of enterprise-level people data infrastructure. She has led major initiatives for technology, healthcare, and global product organizations—including projects focused on engagement and burnout analytics, advanced workforce planning strategies, manager effectiveness initiatives, multi-source employee experience insights, and AI-enabled HR decision support.

Temi combines deep technical expertise with a strong grounding in organizational science. She specializes in structural equation modeling, longitudinal research design, and applied data science for workforce outcomes—bringing academic rigor to complex business problems. Prior to founding her firm, Temi supported people analytics functions within large enterprise environments, where she refined her ability to translate ambiguous organizational challenges into clear analytical roadmaps. She is known for helping organizations move beyond descriptive dashboards toward narrative-driven insights and predictive, future-ready workforce strategies.

She is passionate about building people analytics capabilities that are both scientifically grounded and operationally practical, empowering leaders to make better, more humane decisions about work.


Outsourcing People Analytics: Where It Accelerates Insight—and Where It Breaks It

People Analytics is undergoing a structural shift accelerated by AI, automation, and rapidly changing workforce needs. Rather than replacing traditional analytics roles, this shift is redefining how analytical work is sourced, delivered, and scaled. As organizations adopt new AI tools, upgrade HR tech stacks, and pursue skills and workforce planning initiatives, many are moving from large in-house teams to hybrid models that combine internal analysts with specialized, project-based experts. This session will examine the analytics implications of that transformation: how project-based delivery changes the lifecycle of analytical work, the models required to maintain data quality and continuity, and the capabilities analytics professionals must develop to thrive in an increasingly ecosystem-driven environment. Attendees will gain practical frameworks for evaluating when to build internally versus partner externally, how AI is reshaping demand for advanced analytical skills, and how to design analytics workflows that remain resilient in a project-centric landscape.

Professional