Dir, Data Science & Analytics - AI Governance - Remote
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Job Description
Job Summary
Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Evaluate, write, and present healthcare utilization and cost containment reports and make recommendations based on relevant findings. Execute data science and statistical analytical experiments methodically to help solve various problems and make a true impact across healthcare domains.
Knowledge/Skills/Abilities
- Directs Health Plan strategic analysis and planning, coordinating across business units to meet data analysis needs.
- Mentors, coaches, and provides guidance to team members.
- Identifies and sets departmental priorities aligned with the operating plan, budget, and regulatory requirements. Performs deep dive analyses across health plans, providing actionable insights, and collaborates with health plans and cross-functional teams to optimize revenue outcomes.
- Observes Medicaid/Medicare/Marketplace growth opportunities and new policy rules, develops analytical frameworks, and presents findings to support business decisions.
- Partners with health plans to design Payment Integrity campaigns, evaluate performance, develop insights, and recommend actions.
- Communicates complex analytical information clearly to all audience levels. Collaborates with analytics teams on project delivery.
- Performs other duties as required, seeking data solutions and technology opportunities, and referring to appropriate teams for building payment integrity solutions.
- Applies statistical and computational methodologies to provide actionable insights and identify opportunities to improve quality, consumer experience, and healthcare costs.
- Develops scalable, efficient, and automated processes for large-scale data analysis, model development, validation, and deployment.
- Designs algorithms and models to analyze big data, perform error analysis, and validate data for accuracy.
- Creates novel approaches for exploration, analysis, and feature selection from large, multidimensional data sets.
- Executes data science and statistical experiments systematically to address various healthcare challenges.
- Analyzes data for trends and patterns, interpreting data with clear objectives.
- Utilizes tools and techniques to extract insights from industry trends.
- Implements tools and languages such as Hadoop, Power BI, R, Python, SQL, Impala SQL, Toad, Apache Superset, and relevant data science packages.
- Builds patient-focused population predictions, provider activity outliers, and other models using Python packages.
Job Qualifications
Education: Bachelor's Degree in Data Science, Economics, Finance, Computer Science, Information Systems/Technology, or related field.
Experience:
- At least 5 years leading healthcare analytics functions.
- Preferably 7+ years of experience in healthcare settings.
- Strong knowledge of Hadoop, Power BI, R, Python, SQL, Impala SQL, Toad, Apache Superset, and related packages.
- Familiarity with relational databases and SDLC concepts.
- Critical thinking skills and ability to organize unstructured problems.
Physical Demands
Work is generally in an office environment with adequate lighting and temperature. Must be able to sit for long periods. Accommodations can be provided for individuals with disabilities.
Current Molina employees interested in this position should apply through the intranet.
Molina Healthcare offers a competitive benefits and compensation package. We are an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $129,504 - $303,040 / year. Actual compensation may vary based on location, experience, education, and skills.
Additional Details
- Seniority level: Director
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: IT Services and IT Consulting
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