Implementation Solution Consultant, Workforce AI

Who We Are:

We’re a $8+ billion, rapidly growing workforce solutions provider in the healthcare industry. We deliver tech-enabled services that help healthcare organizations meet and manage their contingent labor needs. We build and manage tech-enabled marketplaces for national and local healthcare talent and deliver contingent labor management solutions through our proprietary software platform.

Responsibilities:

Solution Design & Customer Consulting

• Partner directly with customers during implementation to shape solution design that meets business requirements while aligning with platform capabilities and best practices
• Lead and contribute to customer‑facing, solution‑oriented discussions, helping customers understand options, constraints, risks, and tradeoffs
• Translate complex healthcare workforce and scheduling needs into clear, actionable solution recommendations
• Serve as a trusted implementation advisor, guiding how configuration, data, and integrations impact downstream outcomes

Technical & Data Analysis (Supporting Solution Decisions)

• Build and apply a deep understanding of platform data flow, including backend data structures, system relationships, and processing logic
• Use SQL queries to independently investigate data, validate assumptions, and support troubleshooting and implementation decisions (no application coding required)
• Review and validate inbound customer data for completeness, accuracy, and alignment with solution and business requirements
• Identify data quality issues, edge cases, and structural risks, and propose appropriate paths to resolution
• Evaluate how data structure and configuration choices affect application behavior, system performance, and customer experience

Integrations & Data Flow

• Support complex customer integrations, including iPaaS workflows (e.g., Workato) and file‑based integrations (SFTP)
• Review and validate file formats, data mappings, schedules, and integration logic to ensure reliable, scalable data exchange
• Partner closely with Engineering to clarify requirements, validate outcomes, and troubleshoot integration‑related issues without owning code development
• Support integration testing and validation to ensure end-to-end data flow accuracy