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Director Predictive Analytics Jobs in Kentucky (NOW HIRING)

$157 - $213/hr

Develop and deploy predictive and generative AI models within the Databricks Lakehouse environment ... or population health analytics, including direct experience with hospital ranking/rating ...

New

$100 - $130/hr

Employee Wellness Program and Counseling Services Director, IT Infrastructure, Operations ... Lead adoption of AI-driven operational tools including intelligent monitoring, predictive analytics ...

$180 - $240/hr

As Senior Director, Revenue Strategy, Planning and AI, you'll own that system at Intapp: the annual ... predictive analytics in a Revenue context. * Strong analytical and technical capabilities ...

New

$100 - $232/hr

Leverage predictive analytics and data visualization to improve insight generation and forecasting ... direct reports and overall scope 7-8 employees)* Partner with executive leaders across Risk ...

$135 - $231/hr

Seeking a dynamic, goal-oriented Director, Data Analytics to work on health and human services ... Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis ...

Strong understanding of AI, Machine Learning, predictive analytics, and pricing optimization concepts. * Experience with pricing analytics, SQL, Python, or business intelligence platforms such as ...

Strong understanding of AI, Machine Learning, predictive analytics, and pricing optimization concepts. * Experience with pricing analytics, SQL, Python, or business intelligence platforms such as ...

Strong understanding of AI, Machine Learning, predictive analytics, and pricing optimization concepts. * Experience with pricing analytics, SQL, Python, or business intelligence platforms such as ...

$180 - $280/hr

As the Senior Director of Digital Technology Solutions Enterprise you will lead the strategy ... Experience with AI/ML integration into enterprise workflows (e.g., predictive analytics, natural ...

New

$135 - $231/hr

Seeking a dynamic, goal-oriented Director, Data Analytics to work on health and human services ... Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis ...

$200 - $317/hr

We are seeking a transformational Senior Director, Demand and Digital Marketing to redefine ... Build an AI-powered, automated demand engine using predictive analytics to maximize pipeline across ...

$110 - $125/hr

Director of Recruitment and Special Programs (Admin II) Director of Recruitment and Special ... predictive analysis, and streamlining admissions processing. Experience developing and implementing ...

$110 - $125/hr

Director of Recruitment and Special Programs (Admin II) Director of Recruitment and Special ... predictive analysis, and streamlining admissions processing. Experience developing and implementing ...

$130 - $175/hr

... deliver predictive, strategic value. Decision Support, Strategic Analysis, and Innovation ... Demonstrated experience managing, coaching, and developing direct reports, including setting ...

New

$180 - $240/hr

The Director of Network Intelligence owns this end-to-end: the telemetry architecture, the AI/ML ... analytics standards (802.11k/v/r, Wi‑Fi 6/6E/7). * Architect AI/ML‑powered predictive ...

$120 - $160/hr

Support integration of generative AI, RAG, predictive analytics, document processing, and other AI ... Direct or support system installation, upgrades, releases, and production deployments. * Collect ...

New

Showing results 21-40

Director Predictive Analytics information

What does a director of predictive analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.

What are the key skills and qualifications needed to thrive as a director of predictive analytics?

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What are the typical collaboration points for a director of predictive analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What is the difference between Director Predictive Analytics vs Data Scientist?

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What are the most commonly searched types of Predictive Analytics jobs in Kentucky?

The most popular types of Predictive Analytics jobs in Kentucky are:

What cities in Kentucky are hiring for Director Predictive Analytics jobs?

Cities in Kentucky with the most Director Predictive Analytics job openings:

Senior Director, Strategic Analytics

Tend

On-site

$157 - $213/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted yesterday

New


Job description

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 andcoding 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, Healthgrades, 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 productionize those solutions in Databricks, and connect the output directly to performance improvement and public reputation/ranking outcomes.

About Tendo

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.

Job Location

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.

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Responsibilities Clinical & Quality Methodology Expertise
  • 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, Healthgrades, 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.
Algorithm & AI Model Development
  • 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.
Databricks & Data Engineering
  • 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.
Strategic Leadership & Influence
  • Set the multi‑year strategic roadmap for ranking/rating performance across the organization, in partnership with the GM of Insights and executive sponsors.
  • Serve as a trusted advisor to C‑suite and clinical executive leadership on quality strategy, investment prioritization, and reputational risk tied to public rankings.
  • Influence and align priorities across clinical, coding/CDI, quality, IT/analytics, and executive stakeholders without formal management authority; mentor and provide technical guidance to other analysts and data scientists as needed.
Performance Improvement & Reporting
  • Design benchmarking dashboards and predictive indicators that give clinical and executive leadership early visibility into ranking/rating trajectory.
  • Recommend and help prioritize clinical process improvements based on algorithm findings, tying interventions directly to specific ranking/rating levers.
  • Present findings and recommendations to physician leadership, quality committees, and executive stakeholders in clinically credible, data‑grounded terms.
  • Represent the analytics/quality function directly to senior executive leadership on ranking/rating strategy, risk, and resource needs.
Requirements
  • Clinical background and licensure/credentialing (e.g., RN, MD/DO, PharmD, or equivalent clinical degree) or a graduate degree in Clinical/Health Informatics with substantial hands‑on clinical quality experience.
  • 10+ years of experience in clinical informatics, clinical quality, CDI, or population health analytics, including direct experience with hospital ranking/rating methodologies.
  • 5+ years of hands‑on experience building data pipelines and/or ML models in Databricks (Spark, Delta Lake, MLflow); strong SQL and Python skills.
  • Demonstrated experience applying AI/ML (including NLP/LLM techniques) to clinical and/or claims data for gap detection, risk stratification, or quality measurement.
  • Deep working knowledge of ICD‑10‑CM/PCS coding, risk‑adjustment models (e.g., APR‑DRG, MS‑DRG, HCC/RAF), and how coding/documentation quality affects publicly reported outcomes.
  • Ability to work independently as a senior IC operating with director‑level scope, autonomy, and executive exposure — driving projects end‑to‑end from clinical hypothesis to deployed algorithm to executive‑level recommendation.
  • Excellent communication skills; able to translate technical/statistical findings for physician and executive audiences.
Nice to Have
  • Master's or doctoral degree in Clinical Informatics, Health Data Science, Public Health, Nursing, or Medicine.
  • Direct experience supporting or improving performance against U.S. News, CMS Star Ratings, Leapfrog, or Vizient benchmarks.
  • Experience with Databricks Unity Catalog, Genie/AI‑BI tools, or MLOps in a regulated healthcare environment.
  • Familiarity with FHIR, HL7, and EHR data models (Epic Clarity/Caboodle, Cerner, etc.).
  • Prior experience in a matrixed hospital or health‑system environment working across quality, coding/HIM, clinical operations, and IT/analytics.
  • Experience operating as a strategic, senior‑level advisor to C‑suite/executive leadership.
Base Salary Range

$157,250 - $212,750

This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.

Benefits

For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short‑term and long‑term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”).

Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

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