Lead Implementation Specialist, Workforce AI at Jobgether – United States
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About This Position
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Implementation Specialist, Workforce AI in the United States.
This role sits at the center of deploying next-generation workforce AI solutions for healthcare organizations, ensuring successful implementation from discovery through go-live. You will act as the primary technical and functional partner for clients, translating complex staffing and scheduling needs into practical system configurations and workflows. The position blends customer-facing consulting, hands-on system validation, and training leadership in a fast-evolving environment. You will collaborate closely with product, engineering, QA, and customer success teams to ensure seamless delivery and continuous improvement of the platform. As a key implementation leader, you will directly influence adoption success and customer experience outcomes. This is a highly collaborative role requiring both technical fluency and strong stakeholder engagement skills.
You will lead end-to-end implementation activities for Workforce AI solutions, guiding customers through discovery, configuration, testing, training, and go-live support while ensuring successful adoption and alignment with operational goals. You will translate workforce management needs into system designs, validate platform behavior, and ensure readiness through structured testing and user acceptance processes.
- Lead customer discovery sessions to understand staffing and scheduling workflows and define solution requirements
- Translate customer needs into system configurations in collaboration with internal technical teams
- Conduct hands-on testing and validation of workflows, data, and system performance prior to deployment
- Identify, document, and escalate technical issues in partnership with engineering, QA, and product teams
- Deliver end-user and administrator training sessions across Workforce AI modules
- Facilitate user acceptance testing (UAT) and ensure customer readiness for go-live
- Support go-live activities and provide post-launch assistance during transition to support teams
- Collaborate with project managers to track milestones, risks, and delivery progress
- Contribute to playbooks, training materials, and implementation best practices for scaling delivery
The ideal candidate brings hands-on experience in healthcare workforce operations combined with strong technical implementation and customer training expertise. You should be comfortable working in dynamic environments, managing multiple priorities, and simplifying complex technical concepts for diverse audiences.
- 3–5+ years of experience in healthcare staffing, scheduling, workforce management, or implementation roles
- Experience with workforce management or scheduling platforms (UKG WFM Pro experience strongly preferred)
- Background in technical training, system rollout, or user adoption support
- Strong problem-solving skills with the ability to navigate complex client environments
- Excellent communication skills, both written and verbal
- Ability to manage multiple projects and priorities in a fast-paced setting
- Strong attention to detail and organizational skills
- Collaborative mindset with a strong focus on customer success and experience
- Comfort working in evolving, high-growth environments with changing processes
- Competitive salary range: $110,000 – $130,000 annually
- Comprehensive medical, dental, vision, and life insurance coverage (fully or partially employer-paid)
- Generous 401(k) retirement plan with company match
- Unlimited paid time off policy and paid sick leave
- Paid parental leave and family support programs
- Performance-based bonuses (role and manager discretion)
- Wellness programs including virtual fitness, yoga, and meditation sessions
- Home office and remote work flexibility
- Employee recognition programs, events, and team-building activities
- Professional growth opportunities in a fast-scaling organization