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Director Predictive Analytics Jobs in Covington, KY

Munich Re

Principal Data Scientist - FCAS

Amelia, OH · On-site +1

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

Munich Re

Principal Data Scientist - FCAS

Amelia, OH · On-site

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

Munich RE

Principal Data Scientist - FCAS

Amelia, OH · On-site

Manage projects and direct work of more junior team members. * Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling ...

New

Keybank

Quant Analytics Mgr.

Cincinnati, OH

... predictive and machine-learning models for specific business needs using statistics, advanced ... Demonstrated leadership; may have direct reports; Assumes accountability for their work; Sought out ...

Jj

Director, Customer Insights

Cincinnati, OH · On-site +1

Champion innovation in reporting, automation, visualization, predictive analytics, customer ... Leads a team of direct reports dedicated to turning commercial data into business decisions:

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All JobsPredictive Analytics JobsDirector Predictive Analytics JobsDirector Predictive Analytics Jobs in Covington, KY

Director Predictive Analytics information

See Covington, KY salary details

$97.5K

$128.9K

$155.3K

How much do director predictive analytics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for director predictive analytics in Covington, KY is $128,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,400.00 and $137,300.00 per year, depending on experience, location, and employer.

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 cities near Covington, KY are hiring for Director Predictive Analytics jobs?

Cities near Covington, KY with the most Director Predictive Analytics job openings:

Director Predictive Analytics jobs near you

Lead Director, Medicare Advantage and Group ACA Risk Adjustment Informatics

Hispanic Alliance for Career Enhancement

Wyoming, OH • On-site

$100 - $232/hr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

Revenue Integrity Informatics is seeking a Lead Director, Informatics to lead Medicare Advantage and ACA risk adjustment analytics, predictive modeling, intervention strategy, and financial valuations. This role is responsible for driving risk score accuracy and completeness, ensuring regulatory compliance, and delivering actionable data-informed opportunities. The role is highly visible within the enterprise and will be a key contributor to strategic decision-making with senior management.

This role may sit anywhere in the US.

Key ResponsibilitiesRisk Adjustment & Business Performance
  • Lead enterprise risk adjustment analytics supporting risk score completeness, accuracy, engagement, recapture, and algorithms.
  • Leverage claims and clinical data for deep learning into drivers of performance and model impacts.
  • Proactively engage with stakeholders on emerging trends, rising risk, and data-driven opportunities
  • Oversee the analytics that drive risk adjustment intervention activities, including prospective and retrospective programs.
  • Directs the prioritization and performance evaluation of outreach, engagement, and clinical documentation initiatives.
Predictive Analytics, AI & Innovation
  • Lead the development and implementation of advanced predictive analytics and AI solutions to support risk adjustment, population health, and business performance initiatives.
  • Drive innovation through automation, advanced analytics, and emerging technologies that improve efficiency and scalability
  • Measure and evaluate intervention effectiveness and overall business impact
  • Translate complex analytical findings into practical recommendations that improve operational, clinical, and financial outcomes.
  • Partner with technology and data engineering teams to enhance data architecture, automation, and analytics capabilities.
Strategic Leadership & Partnerships
  • Partner with executive leadership, market leaders, finance, actuarial, service operations, and clinical teams to support strategic planning and performance improvement efforts.
  • Provide executive-level presentations and recommendations that influence organizational strategy and investment decisions.
  • Manage data relationships with external vendors and business partners
Compliance & Regulatory Support
  • Ensure adherence to CMS regulations, data governance policies, and organizational compliance expectations.
  • Lead analytical support for compliance reviews and risk adjustment governance activities
  • Establish and maintain controls that promote data integrity, auditability, transparency, and accuracy.
  • Monitor regulatory and industry changes, assess business impact, and ensure timely implementation of required analytic and reporting enhancements.
People Leadership
  • Lead, mentor, and develop a high-performing team of leaders and individual contributors across analytics, informatics, data science, and related disciplines.
  • Foster a culture of collaboration, innovation, continuous improvement, and results-oriented execution.
  • Champion technical excellence and continuous learning in areas including risk adjustment analytics, AI modeling, SQL, SAS, Python, BigQuery, and similar
Required Qualifications
  • 10+ years of experience in healthcare analytics, informatics, risk adjustment, actuarial, finance, data science, or related disciplines.
  • 2+ years of leadership experience (direct reports, team lead).
  • Advanced technical proficiency in SQL, SAS, Python, BigQuery, or similar
  • Experience with predictive analytics, machine learning, financial modeling, or data science concepts
  • Demonstrated ability to influence leadership and deliver measurable business results.
Preferred Qualifications
  • Demonstrated knowledge of Medicare, Medicaid, or ACA risk adjustment methodologies, HCC models, healthcare claims and clinical data, and CMS regulatory requirements.
  • Experience at a health plan or provider system
Education:
  • Bachelor's degree or equivalent professional work experience
  • Master's degree in Business, Informatics, Analytics, Finance, Statistics, Computer Science, Public Health, Healthcare analytics, Actuarial, Mathematics, Economics, or equivalent combination of advanced education, professional certification, or demonstrated subject matter expertise preferred
Pay Range

The typical pay range for this role is:

$100,000.00 - $231,540.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 09/06/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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