Principal Data Scientist

Compunnel, Inc.; Aliso Viejo, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Compunnel, Inc. is seeking a senior AI & Analytics leader to set the discovery strategy for CXI Agentic initiatives, framing AI opportunities, governance, and an actionable roadmap. You will partner with business and delivery teams to translate insights into business value and executive-ready recommendations.

The role requires 12+ years in AI/ML, a healthcare background, and a proven ability to drive strategic AI programs from concept through implementation across complex environments.

Qualifications

• 12+ years in AI, ML, analytics, or AI transformation leadership.
• Healthcare domain experience is required.
• Master’s or PhD in Data Science, AI, CS, Statistics, or related field preferred.
• Experience providing strategic guidance and executive-level recommendations related to AI and analytics.

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.
• Provide strategic guidance on AI opportunity prioritization, advanced analytics, and process mining initiatives.
• Support development of AI governance inputs and recommendations.
• Translate AI and analytics findings into clear business value and actionable recommendations.

Skills

AI strategy

Process mining

Analytics leadership

Executive-level recommendations

Data science

Healthcare domain experience

Roadmap development

Education

Master’s or PhD in Data Science/AI/CS/Statistics

Tools

Process mining tools

Governance frameworks

Job description

Job 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. The role focuses on 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.
• Provide strategic guidance on AI opportunity prioritization, advanced analytics, and process mining initiatives.
• Support development of AI governance inputs and recommendations.
• Translate AI and analytics findings into clear business value and actionable recommendations.

Required Qualifications

• 12+ years of experience in AI, machine learning, advanced analytics, data science, or AI transformation leadership.
• Healthcare domain experience is required.
• Experience defining AI strategy, ML/AI use cases, data readiness, governance, and analytics roadmaps.
• Master’s or PhD in Data Science, AI, Computer Science, Statistics, or a related field preferred.
• Experience providing strategic guidance and executive-level recommendations related to AI and analytics.
• Strong understanding of AI opportunity identification, use case prioritization, and business value framing.

Preferred Qualifications

• Experience in healthcare payer, claims, member experience, G&A, audit, or regulatory workflows.
• Experience with healthcare payer initiatives.
• Experience with process mining.
• Experience with automation initiatives.
• Experience with agentic AI.
• Experience leading AI governance initiatives.
• Experience developing agentic AI roadmaps and solution strategies.