Aidan Anderson

About Aidan Anderson

I specialize in the architecture and scaling of Agentic AI within the most complex enterprise environments. Currently, at Workday, I lead the strategy for a portfolio of flagship AI initiatives, including the design and delivery of mission-critical AI \"Skills\" that serve millions of global users.My focus is on the high-stakes intersection of innovation and governance. I don’t just build AI; I build AI that enterprise leaders can trust. This involves architecting the full AI/ML lifecycle—from foundational infrastructure and API strategy to establishing the Evaluation Frameworks required to ensure accuracy and safety for sensitive employee data.What defines my approach:Strategic Versatility: I have a proven track record of navigating the unique product requirements of a diverse customer base, including Global enterprises and sensitive Federal Government prospects, where security and compliance are non-negotiable.Cross-Functional Leadership: I act as the organizational bridge between Engineering, Legal, and Sales, translating complex technical capabilities into clear, high-impact business outcomes.Professional Multiplier: I am dedicated to elevating the product craft, actively mentoring fellow Product Managers and fostering a culture of rigorous, data-driven decision-making.I am passionate about moving the needle on how humans interact with enterprise software through agentic interfaces, ensuring that as AI evolves, it remains reliable, secure, and strategically aligned with the needs of the world\'s largest organizations.

Experience

1. Product Manager

   Workday

   Oct 2023 — Present

   Lead the strategic vision for a portfolio of flagship Agentic AI initiatives, moving from conceptual ideation to production-ready capabilities for millions of users- Architected end-to-end AI \"Skills\" for the Compensation domain, translating intricate business logic into secure, conversational agent interfaces- Established mission-critical Evaluation Frameworks to standardize the reliability, safety, and performance of AI outputs across flagship projects- Orchestrated product requirements for a diverse range of enterprise clients, serving as a key liaison for Federal Government prospects to ensure compliance with strict data-residency and security mandates- Drove alignment between Engineering, Sales, and Legal to navigate complex dependencies and de-risk the adoption of emerging AI technologies- Level up the collective product craft by mentoring fellow Product Managers on AI/ML lifecycle management and effective stakeholder influence.

Education

• Penn State University

  Some College, Liberal Arts and Sciences/Liberal Studies

  2017 — 2017

• Brigham Young University - Idaho

  Bachelor of Science - BS, Computer/Information Technology Administration and Management

  2016 — 2020