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About Empeon

Empeon is a healthcare-focused Human Capital Management (HCM) platform that unifies HR, payroll, time & attendance, and scheduling for healthcare organizations. Our Scheduling module was built for the realities of 24/7 patient care: census-driven staffing targets (HPPD), call-outs and last-minute shift vacancies, shift swaps and open-shift bidding, overtime alerts, and compliance with CMS staffing standards. Our clients are primarily skilled nursing facilities (SNFs), assisted living facilities (ALFs), and other long-term and post-acute care providers.

About the Role

You will own the onboarding journey for clients adopting Empeon's Scheduling module — from kickoff and discovery through configuration, training, go-live, and handoff to Customer Success. You are the bridge between how a facility staffs its floors today and how Empeon makes that faster, compliant, and predictable. Success in this role means clients go live on time, schedulers actually use the system, and staffing compliance becomes easier, not harder.

What You'll Do

• Lead end-to-end onboarding of the Scheduling module for new and existing Empeon clients, managing multiple concurrent implementations against defined timelines and milestones.

• Run discovery sessions to map each facility's staffing model: units, positions (RN/LPN/CNA and non-clinical roles), shift patterns and rotations, census-based HPPD budgets, and approval workflows.

• Configure the module to match: shift templates and color-coding, differential pay rates and shift bonuses, overtime alert thresholds, call-out and shift-swap workflows, open-shift bidding, and geofenced mobile clock-in.

• Ensure scheduling works seamlessly with the client's Empeon Time & Attendance and Payroll setup, validating that scheduled shifts, punches, and pay rules reconcile correctly.

• Train schedulers, DONs, administrators, and HR teams — remotely and, when needed, on-site — and drive caregiver adoption of self-service scheduling on mobile.

• Guide clients through compliance-oriented setup: CMS minimum staffing requirements, state DOH staffing rules, PBJ considerations, and HPPD targets tied to the CMS 5-Star Quality Rating System.

• Manage data gathering and migration from spreadsheets, paper schedules, or legacy scheduling tools.

• Provide post-go-live hypercare, resolve early-adoption issues, and execute a clean handoff to Customer Success and Support.

• Feed field insights back to Product — recurring configuration gaps, feature requests, and SNF/ALF workflow patterns.

What You'll Bring

• 2–4 years in SaaS implementation, onboarding, or customer success — ideally with workforce management, scheduling, time & attendance, or payroll software.

• Working knowledge of long-term care operations: 24/7 staffing, census-driven coverage, nurse staffing ratios, and the realities of filling a 6a–2p shift at 5am.

• Strong project management habits — you keep multiple implementations moving, flag risk early, and hold clients accountable to their side of the plan.

• Confident trainer and facilitator, comfortable presenting to audiences from frontline schedulers to facility administrators and regional operators.

• Comfort with data: Excel, data cleanup, and structured imports/migrations.

• Clear, empathetic communicator who can translate software configuration into operational language facility teams understand.

Nice to Have

• Direct experience working in or with SNFs, ALFs, or other post-acute/senior care settings (scheduler, staffing coordinator, HR, or vendor-side).

• Familiarity with CMS staffing regulations, PBJ reporting, or the 5-Star Quality Rating System.

• Experience with client onboarding platforms (e.g., GuideCX) and ticketing tools (e.g., Jira).

Why This Role Matters

Understaffed shifts in a nursing facility aren't an inconvenience — they're a patient-care and compliance risk. Every facility you onboard well means schedulers spend less time making phone calls at 5am and more time keeping floors safely staffed. You'll have direct, visible impact on how healthcare workforces run.