Location: Remote / In-person / Hybrid — Airmont, NY / Greater Lakewood NJ Area

About Empeon

Empeon is a healthcare-focused HCM SaaS platform built for skilled nursing facilities, home care providers, and other healthcare employers. We manage the full employee lifecycle — payroll, scheduling, benefits, HR, and compliance — for some of the most operationally complex organizations in healthcare.

We are a product-first company with a small, senior team that moves fast, goes deep, and builds practical solutions for real operational needs.

About the Role

We are looking for a Scheduling Business Analyst to join our Workforce Management product team, working closely with and reporting to our Senior Scheduling Product Owner. You will help support and improve the Scheduling module by assisting with discovery, writing clear requirements, contributing to backlog grooming, and collaborating across product, UX, engineering, QA, and internal stakeholders.

This is a hands-on BA role for someone who enjoys understanding real operational pain points, learning complex scheduling workflows, and turning messy requirements into clear, buildable product solutions.

The right person has an innovative mindset. They look at manual scheduling work and ask how the product can make it easier, smarter, and more proactive. You will have the opportunity to bring ideas forward and help shape improvements to the scheduling experience.

What You'll Work On

The Scheduling module helps healthcare operators build schedules, fill open shifts, manage call-outs, hit labor targets, and stay compliant with staffing rules like HPPD and PBJ. It also connects to payroll, time and attendance, time-off, and staffing agency workflows.

What You'll Do

• Support discovery with customers and internal stakeholders to understand pain points and current workflows, and help maintain and refine the Scheduling backlog alongside the product lead.
• Translate business needs into clear user stories, workflows, requirements, and acceptance criteria that engineering and QA can build from.
• Investigate reported issues and gaps between current system behavior and customer, operational, or compliance needs, write them up clearly, and verify fixes.
• Collaborate with UX, engineering, and QA to clarify expected behavior, edge cases, and product intent throughout development.
• Help explore automation and AI-assisted opportunities, such as smarter shift-fill recommendations and coverage-risk insights.

What We're Looking For

Must-haves

• 2 to 4 years of experience as a Business Analyst, Product Analyst, or Associate Product Owner in a SaaS product environment.
• Ability to quickly learn complex operational processes and translate them into clear, scoped, buildable product requirements.
• Experience working with internal stakeholders, customers, operations teams, or end users to understand business needs.
• Strong written communication, with the ability to write specs that engineering and QA can work from.
• Comfort with ambiguity and the ability to help bring clarity across product, UX, engineering, QA, and stakeholders.
• Genuine interest in scheduling, workforce management, or HCM workflows, and in using automation and AI to improve manual work.

Nice-to-haves

• Healthcare, SNF, long-term care, home care, or other regulated-industry experience.
• Experience with scheduling systems, open shift workflows, call-outs, staffing budgets, or labor targets.
• Familiarity with HPPD, census-based staffing, PBJ reporting, or CMS staffing compliance.
• Experience with time and attendance, payroll-adjacent scheduling, or staffing agency workflows.
• Prior exposure to AI-powered product features such as smart recommendations, predictive scheduling, or anomaly detection.

Why This Role Matters

Scheduling is where our customers feel operational pressure every day — unfilled shifts, last-minute call-outs, census changes, labor targets, and compliance requirements. This role will help improve the systems that staffing teams rely on to keep facilities covered, control labor costs, and stay compliant.

The work is practical, detailed, and highly impactful, with real opportunities to support smarter automation and AI-assisted workflows in one of the most complex scheduling environments in healthcare.