Dir, Data Science & Analytics - AI Governance - Remote

About the position

The position involves performing data and error analysis to improve models, as well as cleaning and validating data for uniformity and accuracy. The role includes evaluating, writing, and presenting healthcare utilization and cost containment reports, making recommendations based on relevant findings. The individual will execute data science and statistical analytical experiments methodically to help solve various problems and make a true impact across various healthcare domains. Responsibilities also include directing Health Plan strategic analysis and planning, mentoring direct reports, and collaborating with cross-functional teams to optimize revenue outcomes.

Responsibilities

• Perform data and error analysis to improve models and validate data for accuracy.
• Evaluate, write, and present healthcare utilization and cost containment reports.
• Execute data science and statistical analytical experiments to solve problems.
• Direct Health Plan strategic analysis and planning across business units.
• Mentor and provide guidance to direct reports.
• Identify and set departmental priorities in alignment with operating plans and regulatory requirements.
• Perform deep dive analyses across health plans and provide actionable insights.
• Observe Medicaid/Medicare/Marketplace growth opportunities and develop analytical frameworks.
• Partner with health plans to design Payment Integrity campaigns and evaluate performances.
• Present complex analytical information clearly to various audiences.
• Collaborate with analytics team on delivery of analytical projects.
• Develop scalable and automated processes for large scale data analyses.
• Utilize algorithms and models to mine big data stores.
• Analyze data for trends and patterns using large data sets.

Requirements

• Bachelor's Degree in Data Science, Economics, Finance, Computer Science, Information System/Technology, or related field.
• 5 years' experience leading healthcare analytics function.
• 7 years' work experience in a healthcare environment.
• Strong knowledge of Hadoop, Power BI, R, Python, SQL, Impala SQL, Toad Automation scripts, Apache Superset.
• Familiarity with relational database concepts and SDLC concepts.
• Demonstrated critical thinking and ability to bring order to unstructured problems.

Benefits

• Competitive benefits and compensation package.
• Equal Opportunity Employer (EOE) M/F/D/V.