Business Analyst – Provider Credentialing (AI-Enabled Healthcare Platforms)

About Us:

Atlas Systems Inc. is a Software Solutions company headquartered in East Brunswick, NJ. Incorporated in 2003, Atlas provides comprehensive range of solutions in the area of GRC, Technology, Procurement, Healthcare Provider and Oracle to customers across the globe. Combining our unparalleled experience of over a decade in the software industry and global reach, we have grown with extensive capabilities across industry verticals.

For more information, please visit our website https://www.atlassystems.com/

Please click on the link below to apply for this position

https://atlas.bamboohr.com/careers/506

Job Title

Contract Business Analyst – Provider Credentialing (AI-Enabled Healthcare Platforms)

Engagement Type

Contract / Short-Term (Immediate Start)
Location: Remote
Duration: 8–12 weeks (estimated, based on scope)
Start: Immediate

Overview

We are seeking a highly experienced Business Analyst with deep domain expertise in Provider Credentialing and strong working knowledge of AI-enabled product design to lead a defined, outcome-driven engagement.

The objective of this role is not to design “another credentialing system,” but to reimagine provider credentialing using AI, automation, and intelligent workflows—while remaining grounded in real-world payer and provider operations.

This role owns the functional vision end-to-end:

• Conceptualizing disruptive, AI-assisted workflows
• Designing high-fidelity Figma UI/UX
• Translating the solution into engineering-ready user stories and documentation

Key Deliverables

1. AI-Forward UX & Workflow Design

• Design high-fidelity Figma screens that depict:
  • Provider credentialing workflows for Health Systems
  • Provider credentialing workflows for Health Plans
• Reimagine traditional credentialing processes using:
  • AI-assisted data ingestion and normalization
  • Intelligent task prioritization and exception handling
  • Reduced manual touchpoints and “zero-click” workflows where feasible
• Cover core and advanced use cases:
  • Initial credentialing and onboarding
  • Re-credentialing and continuous monitoring
  • Primary Source Verification (PSV)
  • Delegated credentialing
  • Exception handling, expirations, and audit readiness
• Clearly model:
  • Human-in-the-loop vs AI-driven decisions
  • Confidence scoring, explainability, and review flows
  • Alerts, recommendations, and proactive interventions

2. Disruptive Use Case Definition

• Identify opportunities where AI can materially change:
  • Time to credential
  • Cost per provider
  • Manual effort and rework
  • Audit and compliance burden
• Ensure the solution:
  • Goes beyond digitizing existing workflows
  • Challenges legacy assumptions in credentialing operations
  • Differentiates clearly from incumbent credentialing platforms

3. Functional & Business Documentation

• Produce engineering-ready artifacts, including:
  • End-to-end use cases and workflow narratives
  • User stories with clear acceptance criteria
  • Functional requirements mapped to UI and AI behaviors
  • Edge cases, fallback scenarios, and exception handling
• Clearly document:
  • Where AI augments human decision-making
  • Where deterministic rules still apply
  • Guardrails for compliance, accuracy, and auditability

4. API, Data