AVP, Data Science & Analytics - Top Tech Distinguished Engineer - Remote

Molina Healthcare is a leading organization in the healthcare sector, and they are seeking an AVP for Data Science & Analytics to lead initiatives that drive strategic decision-making and operational efficiency. The role involves overseeing data model development, providing actionable insights through comprehensive analysis, and collaborating with various teams to enhance revenue outcomes.

Responsibilities:

• Lead strategic analysis and planning across business units to meet data analysis needs
• Mentor, coach, and provide guidance to team members
• Set departmental priorities in alignment with the operating plan, budget, and regulatory requirements
• Conduct deep dive analyses across health plans, providing actionable insights and collaborating with cross-functional teams to optimize revenue outcomes
• Monitor Medicaid/Medicare/Marketplace growth opportunities and new policy rules, developing analytical frameworks to support business cases and presenting findings to stakeholders
• Partner with health plans to design and evaluate Payment Integrity campaigns, developing insights and recommendations to optimize future campaigns
• Present complex analytical information clearly and concisely to all levels of the organization
• Collaborate with the analytics team, managing the delivery of analytical projects
• Identify data solutions and technology opportunities, referring to appropriate team members for implementation
• Apply statistical and computational methodologies to provide actionable insights and optimize quality, consumer experience, and healthcare costs
• Develop scalable, efficient, and automated processes for large-scale data analyses and model development
• Utilize algorithms and models to mine big data, improve models, and ensure data uniformity and accuracy
• Develop novel approaches for data exploration, analysis, and feature selection from large-scale multidimensional data
• Execute data science and statistical experiments methodically to solve problems and impact healthcare domains
• Analyze data for trends and patterns, interpreting data with clear objectives
• Use a broad range 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, and Apache Superset

Requirements:

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