Director of Strategic Analytics

Our partner is a company operating at the intersection of clinical medicine, healthcare quality, applied data science, and AI. This is a senior individual contributor role with director-level strategic scope and significant executive visibility.

• Maintain expert-level knowledge of major hospital ranking, rating, and benchmarking methodologies, including CMS Star Ratings, Value-Based Purchasing, Hospital-Acquired Condition programs, U.S. News & World Report, Leapfrog, Vizient, Healthgrades, and payer-specific quality programs.
• Translate risk-adjustment models, attribution logic, inclusion and exclusion criteria, observed-to-expected ratios, and other methodology specifications into actionable data requirements and analytical models.
• Serve as a senior clinical and quality subject-matter expert connecting clinical operations, coding/CDI, quality, analytics, IT, and executive leadership.
• Advise senior clinical and executive leaders on methodology changes, ranking trends, quality strategy, investment priorities, and reputational risks.
• Design, build, validate, and productionize AI/ML and rules-based algorithms that identify documentation and coding gaps affecting severity of illness, mortality risk, HCC/risk adjustment, and quality attribution.
• Develop models that detect variation in clinical processes, including core measure compliance, sepsis bundle adherence, readmission drivers, mortality outliers, and other factors affecting benchmarked outcomes.
• Apply NLP and LLM techniques to clinical notes, structured EHR information, coded claims, and other healthcare datasets to identify clinically meaningful and actionable insights.
• Build, optimize, and maintain scalable Databricks data pipelines and feature stores using technologies such as Delta Lake, PySpark, MLflow, and Unity Catalog.
• Develop and deploy predictive and generative AI solutions within a Databricks Lakehouse environment, incorporating model monitoring, versioning, governance, security, privacy, and auditability.
• Partner with CDI, coding, quality, and clinical leaders to translate algorithmic findings into practical workflow changes and performance-improvement initiatives.
• Establish a multi-year strategic roadmap for hospital ranking and rating performance in collaboration with executive sponsors and business leadership.
• Develop benchmarking dashboards and predictive indicators that provide clinical and executive teams with early visibility into performance trajectories.
• Recommend and prioritize clinical process improvements by connecting algorithm findings to specific ranking and quality levers.
• Present complex analytical findings and strategic recommendations to physicians, quality committees, clinical leadership, and C-suite stakeholders in clear, credible, data-driven terms.
• Influence priorities across multiple functions without direct management authority and provide mentorship and technical guidance to analysts and data scientists.
• Drive initiatives end-to-end, from developing clinical hypotheses and analytical approaches through deploying algorithms and translating results into executive-level recommendations.

• Clinical licensure or credentialing such as RN, MD/DO, PharmD, or an equivalent clinical degree, or a graduate degree in Clinical/Health Informatics combined with substantial hands-on clinical quality experience.
• 10+ years of experience in clinical informatics, clinical quality, CDI, population health analytics, or a related discipline, including direct experience with hospital ranking and rating methodologies.
• At least 5 years of hands-on experience developing data pipelines and/or machine learning models in Databricks, with strong proficiency in Spark, Delta Lake, MLflow, SQL, and Python.
• Demonstrated experience applying AI/ML, including NLP and LLM techniques, to clinical or claims data for gap detection, risk stratification, quality measurement, or related healthcare applications.
• Deep knowledge of ICD-10-CM/PCS coding and risk-adjustment methodologies such as APR-DRG, MS-DRG, and HCC/RAF, including how documentation and coding quality influence publicly reported outcomes.
• Strong understanding of healthcare data environments, clinical quality measurement, and the relationship between clinical processes, documentation, coding, and organizational performance.
• Ability to operate independently as a senior individual contributor with director-level scope, high autonomy, and executive visibility.
• Demonstrated ability to take complex initiatives from clinical hypothesis through technical development, production deployment, performance improvement, and executive recommendation.
• Excellent communication and presentation skills, with the ability to translate technical, statistical, and clinical findings for physicians, executives, and non-technical stakeholders.
• Strong strategic thinking, analytical reasoning, and problem-solving skills.