Task & Process Mining Analyst

Role Description

We are hiring a senior-level Task & Process Mining Analyst to drive data-driven process discovery, analysis, and optimization across healthcare claims operations. This role sits at the intersection of business analysis, process intelligence, and intelligent automation — using UiPath Process Mining and Task Mining to uncover inefficiencies, quantify automation opportunities, and build the analytical foundation for RPA and AI-led transformation across claims adjudication, denial management, prior authorization, and revenue cycle workflows.

Healthcare claims operations are complex, high-volume, and often burdened by manual effort, rework, and compliance risk. This role exists to change that — using process intelligence tools to see exactly how work actually happens, not just how it's supposed to happen, and translating those insights into prioritized, ROI-backed automation recommendations that development teams can act on.

Qualifications

• 5+ years of experience in business/process analysis, with at least 2 years focused on healthcare claims operations
• Hands-on experience with UiPath Process Mining and/or Task Mining — or equivalent tools (Celonis, Minit, Fluxicon Disco)
• Deep understanding of the healthcare claims lifecycle: EDI 837/835, eligibility, prior auth, adjudication, denial management, remittance, and appeals
• Experience working with claims platforms such as Epic (Resolute HB/PB), Facets, TriZetto, Availity, or Change Healthcare
• Proficiency in process mapping tools (Visio, Lucidchart) and event log analysis
• Strong analytical skills with ability to build ROI models and business cases from process data
• Familiarity with HIPAA compliance requirements and PHI handling standards
• Experience with RPA platforms — UiPath preferred — and understanding of automation development lifecycle

Requirements

• Deploy and configure UiPath Process Mining to ingest event log data from claims systems (Epic, Facets, Availity, clearinghouses) and reconstruct actual process flows end-to-end
• Use Task Mining to capture desktop-level user interactions across claims intake, validation, adjudication, remittance, and denial workflows — generating objective, data-backed as-is process documentation
• Identify process variants, bottlenecks, rework loops, and compliance deviations across the claims lifecycle
• Build and maintain process mining dashboards and conformance checking models to monitor process health over time
• Analyze end-to-end claims workflows including EDI 837/835 transactions, eligibility verification, prior authorization, claims submission, adjudication, remittance posting, denial management, and appeals
• Map payer-provider interaction points and identify root causes of denials, delays, and manual touchpoints
• Quantify volume, cycle time, error rates, and manual effort across claims processes to build defensible ROI models
• Collaborate with clinical, billing, and operations teams to validate findings and prioritize improvement opportunities
• Translate process and task mining insights into structured automation candidates with clear scope, effort estimates, and ROI projections
• Develop Process Definition Documents (PDDs) and Solution Design inputs for RPA development teams
• Prioritize automation pipeline based on volume, complexity, compliance risk, and business value
• Partner with UiPath RPA developers and architects to ensure seamless handoff from discovery to build
• Present process mining findings, dashboards, and automation business cases to healthcare operations leaders and IT stakeholders
• Facilitate workshops with claims SMEs, billing teams, and payer relations staff to validate as-is processes and co-design future-state workflows
• Support change management activities during automation deployment and process transformation initiatives

Benefits

• UiPath Process Mining or Task Mining certification
• Background in Lean, Six Sigma, or other process improvement methodologies
• Experience with SQL for event log extraction and preparation from claims systems
• Knowledge of HL7, FHIR, and healthcare interoperability standards
• Exposure to AI/ML-enhanced process mining use cases (anomaly detection, predictive conformance)
• PMP or Agile certification

What Success Looks Like

• Process mining models live and actively monitoring key claims workflows within 60 days of engagement start
• Automation pipeline of 10+ prioritized candidates with validated ROI within 90 days
• Measurable reduction in claims denial rate, rework, and manual processing time through automation initiatives
• Business stakeholders able to self-serve process performance dashboards without analyst involvement