Senior Director, Strategic Analytics

Accountabilities

• • 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.

  Requirements

  • 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, problem-solving, stakeholder management, and cross-functional collaboration skills.
  • Experience working across matrixed healthcare environments involving quality, coding/HIM, clinical operations, IT, analytics, and executive leadership is highly valuable.
  • A Master's or doctoral degree in Clinical Informatics, Health Data Science, Public Health, Nursing, Medicine, or a related field is preferred.
  • Direct experience improving performance against U.S. News, CMS Star Ratings, Leapfrog, Vizient, or comparable hospital benchmarking programs is preferred.
  • Experience with Databricks Unity Catalog, Genie/AI-BI tools, MLOps, or AI development within regulated healthcare environments is advantageous.
  • Familiarity with FHIR, HL7, and EHR data models such as Epic Clarity/Caboodle or Cerner is a plus.
  • Prior experience serving as a strategic advisor to C-suite or senior executive leadership is preferred.

  Benefits

  • Base salary range of $157,250–$212,750, with final compensation based on factors including geography and experience.
  • Equity package.
  • Annual bonus opportunities.
  • Medical, dental, and vision insurance.
  • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA).
  • Company-paid life insurance.
  • Company-paid short-term and long-term disability coverage.
  • 401(k) retirement plan.
  • Company-paid holidays.
  • Flexible time off.
  • Employee wellness program.
  • Additional voluntary benefits.
  • Opportunity to work on innovative healthcare AI, analytics, and quality-improvement initiatives with significant executive visibility.