Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day. We are building the next generation of our Talent & Learning ecosystem—one that connects skills, learning, career mobility, enablement, employee data, and emerging AI capabilities into a more personalized and seamless employee experience. 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. Working across Talent & Learning, HR Technology, business enablement teams, and technology partners, this position will help move us from a collection of strong but disconnected tools toward a connected, skills-driven, AI-ready talent ecosystem. This is a hands-on role for someone who enjoys working at the intersection of talent, learning, technology, data, and employee experience. The successful candidate can take an ambiguous problem, understand how people, processes, data, and technology connect, and translate that understanding into practical solutions. What You’ll Do 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. What You’ll Help Build The future Talent ecosystem will increasingly enable: For employees: Personalized learning, skills development, and career opportunities based on their role, skills, interests, experiences, and aspirations. For managers: Better visibility into team capabilities, development opportunities, emerging skill gaps, and career growth. For enablement teams: A shared ecosystem through which programs and content can be discovered while teams maintain ownership of their offerings. For Talent & Learning: Better insight into employee needs, content effectiveness, skills gaps, and where future investment will have the greatest impact. For leadership: More accurate workforce skills data and stronger signals for talent and workforce planning. Over time, this connected foundation will also enable responsible AI-powered recommendations, career guidance, manager insights, and conversational employee experiences. This reflects the strategy's progression from connecting foundational signals to enabling richer recommendations and AI experiences. What You’ll Bring 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. Preferred Qualifications 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. What Success Looks Like In the first 12–18 months, the Talent & Learning Ecosystem Specialist will help: Establish a validated inventory and ownership view of the Talent & Learning technology ecosystem. Improve skills, learning metadata, and content-data quality. Document and improve critical integrations and signal flows. Increase consistency of skill tagging across priority learning and talent experiences. Support successful recommendation and employee-experience pilots. Establish stronger measurement and employee feedback loops. Improve visibility into ecosystem adoption, gaps, and effectiveness. Build the data and governance foundation necessary for future AI capabilities. The broader measure of success is whether employees increasingly experience one connected Talent & Learning ecosystem rather than a collection of separate tools. This directly supports the roadmap of stabilize → standardize → connect → optimize outlined in the strategy. Why This Role Matters The future of Talent & Learning isn't about adding more technology. It's about making the technology and data we have work better together. When learning activity strengthens an employee's skills profile, skills improve learning and career recommendations, enablement activity becomes part of the employee talent picture, and managers gain better workforce insights, the ecosystem becomes more valuable with every interaction. The Talent Ecosystem Specialist will help build that connective tissue—creating the foundation for a simpler, more personalized, skills-driven and ultimately AI-enabled employee experience. Connect the signals. Strengthen the profile. Personalize the experience. Unlock AI value. #LI-MC1 Working at Genesys AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. 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. Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report. What Happens After You Apply After you apply, here's what you can typically expect: Our Talent Acquisition team reviews your application with the hiring team. A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.  Next, you'll meet the hiring manager and other members of the interview team. We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases. After interviews are complete, our team will follow up with the final steps. Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process. Stay Connected Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available. Get notified about relevant opportunities. Be the one building what's next - where AI, experience and impact come together. Employee Referral If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral. About Genesys: Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai. Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at [email protected]. You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase. Our AI-powered platform connects people, systems, data and AI to help businesses work smarter, respond faster and create more meaningful interactions. Stay connected to learn how we're applying AI to real customer experience challenges and hear about future opportunities. Sign up here. If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.

Talent Ecosystem Specialist.

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