Experience:

• 5–10+ years as Business Analyst, System Analyst, or Application Analyst
• Experience in US Healthcare, RCM, or AI/ML-driven projects
• Experience in AI/ML, GenAI, LLM Ops, Agentic AI, RPA, and cloud-based platforms
• Strong understanding of application lifecycle, system design, integration testing, and production validation
• Knowledge of HIPAA, SOC 2, GDPR, and healthcare compliance standards

Qualification:

• Bachelor’s or Master’s degree in Computer Science
• Bachelor’s or Master’s degree in Information Systems
• Bachelor’s or Master’s degree in Data Science
• Bachelor’s or Master’s degree in Healthcare IT
• Bachelor’s or Master’s degree in Business Analytics

Responsibilities:

• Elicit, document, and analyze business requirements, functional specifications, and technical needs for RCM processes and AI/ML initiatives
• Map end-to-end business and system workflows identifying gaps, bottlenecks, and automation opportunities
• Translate complex business processes into functional specifications, data models, and system requirements
• Conduct feasibility analysis and solution validation for system enhancements and AI/automation adoption
• Collaborate with software, cloud, and AI/ML teams to translate business requirements into system designs, application specifications, and scalable integrations
• Validate application functionality, RPA workflows, and AI agent outputs across production environments
• Support LLM Ops, MLOps, and Agentic AI pipelines by defining system interfaces, data flow, and API integrations
• Maintain application documentation, version control, and system architecture diagrams
• Work with data engineers and AI/ML teams to ensure data quality, preprocessing, and readiness for model training and deployment
• Develop dashboards and reports to measure process efficiency, AI/ML model performance, and operational KPIs
• Identify opportunities for AI/ML, RPA, and automation-driven improvements in system and workflow operations
• Ensure all processes and system changes comply with HIPAA, SOC 2, GDPR, and internal healthcare regulations
• Maintain audit-ready documentation including process flows, system specifications, and AI/automation outputs
• Implement governance frameworks for AI, Agentic AI, and RPA systems
• Serve as the primary liaison between business teams, product owners, IT, and technical delivery teams
• Facilitate requirement workshops, system validation sessions, and solution reviews
• Communicate progress, risks, and dependencies to executive leadership and clients

Additional responsibilities:

• Drive end-to-end transformation of healthcare RCM workflows through AI, automation, and system optimization
• Ensure scalable, compliant, and production-ready AI/ML, RPA, and application workflows
• Serve as the bridge between business strategy, system design, and technical delivery
• Drive operational efficiency, AI adoption, and data-driven decision-making across RCM modules

More skills:

Cloud platforms (AWS, Azure, GCP), Big Data integration, Jira, Confluence, Trello, Miro, Lucidchart, Balsamiq, ERD/DFD tools, SQL, Snowflake, Redshift, BigQuery, Tableau, Power BI, Looker, UiPath, Automation Anywhere, Blue Prism, Spark, Hadoop, Airflow, dbt, Functional specifications, System validation, Version control, CI/CD awareness

Other:

• Job Category: Product Development
• Job Type: Full Time
• Credence upholds highest standards of integrity in recruitment
• No fees charged at any stage of hiring process
• Strict prohibition of third parties soliciting money for job opportunities
• Encouragement to report fraudulent solicitations to official HR team
• Focus on maintaining a fair and transparent hiring environment