Jobs · Marketing · Texas

Product Owner

Tata Consultancy Services · Austin, TX · 4 days ago
Marketing$120k–$170k/yrFull-time

About the Role

A strategic product leader responsible for transforming the Talent & Learning ecosystem into a skills-driven, AI-enabled platform that enhances employee growth, internal mobility, and leadership development.

Responsibilities

  • Define and drive the Talent & Learning product strategy.
  • Build roadmap aligned to skills-based organization, career development, internal mobility, and leadership pipeline.
  • Bring deep expertise in performance management, succession planning, learning management, and learning experience platforms.
  • Guide HR to shift from process-driven to skills-driven models.
  • Design end-to-end employee journeys for career growth, learning pathways, and performance cycles with a focus on consumer-grade employee experiences.
  • Partner with solution engineers to configure scalable Workday Talent & Learning solutions.
  • Integrate with external learning ecosystems and skills platforms.
  • Lead prototyping and iterative solution design.
  • Drive AI-powered skill inference, recommendations, and personalized learning journeys.
  • Enable talent insights and workforce planning inputs.
  • Own backlog, prioritization, and sprint outcomes.
  • Drive adoption and continuous improvement.
  • Collaborate with HR stakeholders, solution engineers, and offshore/onshore teams to drive product strategy, solution delivery, adoption, and continuous improvement for Workday Talent & Learning.

Requirements

  • 10+ years in HR Tech with focus on Talent & Learning.
  • Strong Workday expertise in Talent & Performance, Learning, and Skills Cloud.
  • Experience in skills-based transformation initiatives.
  • Deep understanding of performance management, succession planning, learning management, and learning experience platforms.
  • Strong product mindset with roadmap ownership, storytelling ability, and stakeholder alignment.
  • Ability to drive AI-enabled talent, skills, learning, and workforce planning capabilities.

Qualifications

Bachelor’s degree in Engineering or Computer Science.

Pay

$120,000 - $170,000 a year

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