[Hiring] Talent Ecosystem Specialist @Genesys

Role Description

Be the one building AI-powered experiences where they matter most. The Talent Ecosystem Specialist will play a key role in turning this vision into reality. This role will help design, connect, and continuously improve the technologies, data, processes, and employee experiences that make up our Talent & Learning ecosystem.

• Support the development and ongoing evolution of the enterprise Talent & Learning technology ecosystem across learning, skills, career mobility, enablement, analytics, knowledge, and emerging AI capabilities.
• Build and maintain a comprehensive view of talent and learning technologies, including capabilities, ownership, integrations, data flows, dependencies, usage, and opportunities for improvement.
• Work with HR Technology and platform owners to improve how employee, role, skills, learning, and career data move across systems.
• Help advance a unified employee skill profile by connecting signals from job profiles, employee-entered skills, learning activity, career interests, manager input, certifications, assessments, and approved external sources.
• Support the development and adoption of common skills taxonomy, metadata, tagging, and data-quality standards across the ecosystem.
• Work with learning and enablement teams to make their programs more discoverable through consistent tagging, navigation, and measurement while allowing teams to retain ownership of their programs.
• Identify friction across employee learning and career journeys and recommend opportunities to simplify or connect experiences.
• Translate employee and business needs into requirements, user stories, workflows, data requirements, and technology enhancements.
• Support pilots for personalized learning, skill-gap identification, career recommendations, and other skills-based experiences.
• Establish feedback loops with employees, managers, and stakeholders to evaluate experiences and continuously improve recommendations.
• Coordinate initiatives across Talent & Learning, HR Technology, IT, People Analytics, enablement teams, and technology vendors.
• Support testing, implementation, documentation, communications, and change enablement for ecosystem enhancements.
• Explore emerging AI opportunities while ensuring foundational requirements—including data quality, governance, privacy, transparency, and employee trust—are addressed first.

Qualifications

• 3–5+ years of experience in Learning & Development, Talent Management, HR Technology, Talent Technology, People Analytics, HR Operations, or a related field.
• Experience working with HR, talent, or learning technology platforms and an understanding of how employee experiences span multiple systems.
• Strong ability to translate business and employee needs into technology, process, data, or experience requirements.
• Experience supporting cross-functional initiatives involving multiple stakeholders, technologies, or teams.
• Working knowledge of skills-based talent practices, learning technology, career development, talent marketplaces, or employee experience.
• Comfort working with data to identify trends, gaps, data-quality issues, and opportunities for improvement.
• Experience documenting workflows, requirements, system dependencies, or data flows.
• Strong project management and organizational skills with the ability to manage multiple priorities in an evolving environment.
• Strong written and verbal communication skills, including the ability to make complex technology and data concepts understandable to nontechnical audiences.
• Curiosity about AI and emerging talent technologies, balanced with an understanding of the importance of governance, data quality, and employee trust.

Requirements

• Experience with one or more of the following is beneficial but not required: Workday Learning, Career Hub, Skills Cloud, TechWolf, LinkedIn Learning, skills taxonomies, learning metadata, HR integrations/APIs, recommendation engines, talent marketplaces, or AI-enabled employee experiences.
• Experience with Agile methodologies, user stories, journey mapping, design thinking, or product management practices would also be valuable.

Benefits

• AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide.
• A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
• Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.
• Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
• Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.