Leverage advanced analytics, AI, and reporting to drive SCAN’s clinical insights and innovation.
Build scalable AI/analytics products that improve clinical outcomes, operational performance, affordability, and regulatory readiness.
Own the clinical analytics strategy and agenda, setting roadmap and prioritization in partnership with clinical, pharmacy, and compliance leaders.
Drive member risk stratification and predictive analytics, including development and deployment of models that identify emerging high-risk members.
Serve as a thought leader on practical GenAI adoption to improve clinical and economic outcomes and ClinOps efficiency.
Translate predictive insights into action by partnering with UM/CM and clinical leaders to design intervention pathways.
Lead clinical operations excellence analytics across UM/CM/medical policy.
Own the design and evolution of a clinical insights semantic layer that standardizes key clinical/UM/Rx concepts across domains.
Provide targeted analytics support for care delivery assets, ensuring alignment with enterprise measurement standards.
Own Part C compliance analytics and reporting readiness, partnering with Compliance and clinical operations.
Oversee pharmacy analytics and data management, ensuring reliable Rx data pipelines, reconciliation logic, and reporting accuracy.
Support clinical and Rx competitive intelligence including market trend monitoring, emerging specialty categories.

Requirements

Bachelor's Degree or equivalent experience
5 years of leadership experience
10+ years of healthcare analytics experience with progressively increasing responsibility; significant experience in Medicare Advantage strongly preferred.
Demonstrated leadership delivering advanced analytics (e.g. predictive modeling / risk stratification) and operational reporting to support clinical programs.
Experience with pharmacy analytics and financial/operational Rx concepts across Part D and at least familiarity with Part B dynamics (J-codes, buy-and-bill, site-of-care).
Experience partnering with clinical leaders, operations leaders, and vendors (e.g., PBM) to drive measurable improvement.
Comfort operating in a regulated environment with strong documentation, reproducibility, and audit-ready thinking.
Strong Python and/or R for modeling and analytics (feature engineering, forecasting, segmentation, anomaly detection, causal/quasi-experimental evaluation where appropriate).
Experience applying ML and/or GenAI to real workflows (e.g., LLM-assisted summarization/triage, insight copilots, classification/extraction), with an emphasis on evaluation, safety/guardrails, and measurable operational impact.
Preferred experience with modern cloud data stacks (e.g., Snowflake or Databricks), ELT/ETL and orchestration tools, and data quality/observability practices (testing, lineage, SLAs).
Experience designing or partnering to implement a semantic layer (standardized metric definitions and governed reusable models) that supports consistent, auditable clinical/UM/Rx reporting and self-service analytics.

Benefits

An annual employee bonus program
Robust Wellness Program
Generous paid-time-off (PTO)
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
Excellent 401(k) Retirement Saving Plan with employer match
Robust employee recognition program
Tuition reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

advanced analyticspredictive modelingrisk stratificationPythonRmachine learningGenAIdata managementsemantic layer designfinancial/operational Rx concepts

Soft Skills

leadershipcollaborationstrategic thinkingcommunicationproblem-solvingoperational excellencethought leadershipinterpersonal skillsanalytical thinkingadaptability

Certifications

Bachelor's DegreeMedicare Advantage experience