Senior Director, Strategic Analytics

We are seeking a senior individual contributor — a role with director-level strategic scope and executive visibility who sits at the intersection of clinical medicine, health care quality benchmarking, and applied data science/AI. This person will combine deep clinical informatics expertise with hands-on Databricks engineering and AI/ML skill to build algorithms that do two things simultaneously: (1) close documentation and coding gaps that affect risk adjustment, mortality index, and quality attribution, and (2) identify gaps and variation in the actual clinical processes of care that drive the metrics used by national hospital ranking and rating programs (e.g., CMS Star Ratings, U.S. News & World Report, Leapfrog, Vizient, Health grades, IBM Watson Health/Chartis 100 Top Hospitals).

This is not a traditional CDI (clinical documentation integrity) role, and it is not a traditional data engineering role — it is a hybrid role for someone who can translate clinical nuance into data science problems, build and product ionize those solutions in Databricks, and connect the output directly to performance improvement and public reputation/ranking outcomes.

Make an impact—join our team!

We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.

Tendo has hubs in San Francisco, CA;
Salt Lake City, UT;
Chicago, IL;
Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.

• Maintain expert-level, current knowledge of major hospital ranking, rating, and benchmarking methodologies, including but not limited to: CMS Hospital Compare/Star Ratings, CMS Value-Based Purchasing and Hospital-Acquired Condition programs, U.S. News & World Report Best Hospitals methodology, Leapfrog Hospital Safety Grade, Vizient quality and safety benchmarking, Health grades, and payer-specific quality programs.

• Translate the technical specifications of these methodologies (risk-adjustment models, attribution logic, exclusion/inclusion criteria, observed-to-expected ratios) into data requirements and analytic models.

• Serve as the clinical/quality subject-matter expert bridging quality, coding/CDI, clinical operations, and analytics/IT teams.

• Operate as one of the organization’s senior-most authority on hospital ranking/rating methodology, advising executive and clinical leadership on the strategic implications of methodology changes and ranking trends.

• Design, build, and validate AI/ML and rules-based algorithms that detect documentation and coding gaps affecting severity of illness, risk of mortality, HCC/risk adjustment, and quality measure attribution.

• Detect variation and gaps in clinical processes of care (e.g., core measure compliance, sepsis bundle adherence, readmission risk drivers, mortality outliers) that influence benchmarked outcomes.

• Apply NLP/LLM-based approaches to mine clinical notes, structured EHR data, and coded claims data to surface actionable, clinically valid insights.

• Partner with CDI, coding, quality, and clinical leadership to convert algorithm findings into workflow and performance‑improvement interventions.

• Build, optimize, and maintain scalable data pipelines and feature stores in Databricks (Delta Lake, PySpark, MLflow, Unity Catalog) that integrate EHR, claims, coding, and quality‑measure data.

• Develop and deploy predictive and generative AI models within the Databricks Lakehouse environment, including model monitoring, versioning, and governance.

• Ensure solutions meet healthcare data standards for security, privacy (HIPAA), and auditability.