Principal Data Scientist- CXI Agentic AI & Analytics discovery

• Define the AI discovery strategy and identify high-value agentic AI opportunities across CXI discovery tracks. * Guide process mining, analytics, data readiness assessment, and use case prioritization efforts.
• Develop agentic AI solution roadmap concepts, implementation considerations, governance needs, and success measures.
• Partner with business, architecture, and delivery teams to validate feasibility, value, risk, and adoption considerations.
• Prepare executive-level AI findings, opportunity narratives, and roadmap recommendations.

machine learning, advanced analytics, data science,-12 Yrs of Exp - AI or AI transformation leadership - 5 Yrs of Exp - healthcare payer, claims, member experience, G&A, audit, or regulatory workflow exposure -3 Yrs of Exp - AI strategy, ML/AI use cases -5 Yrs of Exp -, * 12 years in AI, machine learning, advanced analytics, data science, or AI transformation leadership.

• Healthcare domain experience is required, with healthcare payer, claims, member experience, G&A, audit, or regulatory workflow exposure preferred based on track assignment.
• Master’s or PhD in Data Science, AI, Computer Science, Statistics, or related field preferred.
• Experience defining AI strategy, ML/AI use cases, data readiness, governance, and analytics roadmaps.
• Healthcare payer, process mining, automation, or agentic AI experience preferred. Key Competencies /

Deliverables Competencies: AI strategy, agentic AI roadmap, advanced analytics, process mining leadership, AI governance, executive advisory, opportunity prioritization. Primary deliverables: AI opportunity framework, process mining direction, use case prioritization, agentic roadmap, AI governance inputs, executive summary.