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, making recommendations based on relevant findings. Execute data science and statistical analytical experiments systematically to address various problems and make a meaningful impact across healthcare domains.
Knowledge/Skills/Abilities
- Lead health plan strategic analysis and planning, coordinating across business units to meet data analysis needs.
- Mentor, coach, and guide team members.
- Identify and set departmental priorities aligned with the operating plan, budget, and regulatory requirements. Conduct deep dive analyses across health plans, providing actionable insights, and collaborating with teams to optimize revenue and meet enterprise goals.
- Monitor Medicaid/Medicare/Marketplace growth opportunities and new policy developments for appropriate care and payments. Develop analytical frameworks to support business cases and present findings to stakeholders.
- Partner with health plans to design Payment Integrity campaigns, evaluate performance, develop insights, and recommend actions to optimize campaigns.
- Present complex analytical information clearly to diverse audiences. Collaborate with analytics teams, managing project delivery.
- Perform other duties as business needs evolve, identifying data solutions and technological opportunities, and referring to relevant teams for payment integrity solutions.
- Apply statistical and computational methods to generate actionable insights and identify opportunities to improve quality, consumer experience, and healthcare costs.
- Develop scalable, efficient, and automated processes for large-scale data analysis, model development, validation, and deployment.
- Design algorithms and models to analyze big data, perform error analysis, and ensure data quality.
- Create innovative approaches for data exploration, analysis, and feature selection from large, multidimensional datasets.
- Methodically execute data science experiments to solve healthcare problems and create impact.
- Analyze data for trends and patterns, interpreting data with clear objectives.
- Utilize a broad array of tools and techniques to extract insights from industry trends.
- Implement tools and languages such as Hadoop, Power BI, R, Python, SQL, Impala SQL, Toad Automation scripts, Apache Superset, and relevant Python packages.
- Build patient-focused population predictions, provider activity outliers, and other models.
Job Qualifications
Education: Bachelor's Degree in Data Science, Economics, Finance, Computer Science, Information Systems/Technology, or related field.
Experience:
- Minimum 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 Automation scripts, Apache Superset, and Python healthcare/data science packages.
- Familiar with relational database concepts and SDLC principles.
- Demonstrate critical thinking and problem-solving skills for unstructured problems.
Physical Demands
The working environment is generally favorable, with adequate lighting and temperature. Work is primarily performed in an office setting with minimal exposure to hazards. Ability to sit for extended periods is required. Reasonable accommodations are available for individuals with disabilities.
Current Molina employees interested in this position should apply via the intranet job listing.
Molina Healthcare offers competitive benefits and compensation. 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