Principal Data Scientist - 23538-1

Principal Data Scientist
Role Summary: Provides strategic leadership for CXI Agentic AI & Analytics discovery, defining AI opportunity framing, process mining direction, agentic roadmap, governance approach, and executive-ready recommendations. CXI Discovery Scope AI strategy, agentic opportunity framing, discovery acceleration, solution roadmap, AI governance, process mining direction, analytics insights, and business value framing.
Key Responsibilities
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.
Required Qualifications
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.