Talent Ecosystem Specialist
Be the one building AI-powered experiences where they matter most.
skills, learning, career mobility, enablement, employee data, and emerging AI capabilities
Talent Ecosystem Specialist
connected, skills-driven, AI-ready talent ecosystem
talent, learning, technology, data, and employee experience
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
For employees
For managers
For enablement teams
For Talent & Learning
For leadership
AI-powered recommendations, career guidance, manager insights, and conversational employee 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
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.
stabilize → standardize → connect → optimize
Why This Role Matters
Talent Ecosystem Specialist
AI at enterprise scale
A flexible-first culture
Growth in the AI era
Time to recharge and give back
Recognized globally
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
Employee Referral
About Genesys
Reasonable Accommodations
Not included in the source posting: benefits.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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