VP Dat Scien&Analy Off SWHRCIN

RESPONSIBILITIES AND DUTIES

The VP Data Science & Analytics Officer has the following duties and responsibilities:

• Develops, enhances and effectively leverages new and existing data analysis platforms to optimize data-driven program management.
• Interfaces with operational transformation groups to develop actionable reporting for both the physician network and SWHR CIN operations.
• Develops and reports organizational KPIs and other performance metrics, including mandated quality reporting for all payers and for the employed physician groups.
• Drives and develops best-practice that leverages data science, data engineering, machine learning and other analytics techniques that offer actionable insights.
• Effectively communicates complex modeling and analysis concepts to high-level organizational leadership.
• Proactively engages business stakeholders, seeking and acting on opportunities for improved use of information to solve business problems.
• Turn operational challenges into research questions, pursue and guide a best-practice approach that generates qualitative and quantitative insights that empower decision making.
• Assists with development and implementation of strategies to support ongoing data management needs, such as governance, technology shifts, and regulatory compliance changes. 

PROFESSIONAL EXPERIENCE/QUALIFICATIONS

Individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  This role requires the ability to solve problems, think outside-the-box, and be resourceful; must be result-oriented, a quick learner, collaborative, respectful, an effective communicator, and a self-starter.  The requirements listed below are representative of the knowledge, skill, and/or ability required to build South Western Health Resource’s culture for action.

Education and/or Experience:

• Master’s Degree in Data Science, Computer Science, Statistics, Epidemiology, Mathematics or similar quantitatively intense discipline required.
• Doctoral Degree in Data Science, Computer Science, Statistics, Epidemiology, Mathematics or similar quantitatively intense discipline preferred.
• Minimum 10 years’ experience in data modeling and analytics of which five or more years are in the healthcare industry. A strong record of integrating cross-functional data to drive innovation in the delivery of healthcare value, product and service development.
• Minimum 10 years demonstrated expertise and recent experience with SQL, Python, C++, etc. as well as modeling engines such as SAS, Matlab, Mathematica, RapidMiner, Stata, R, etc.
• Minimum 10 years demonstrated management growth and experience in complex matrixed organizations, leading and mentoring diverse, high-performing analytics and development teams.
• Minimum 8 years demonstrated experience in production big data mining, deep learning algorithms and machine learning environments.
• Minimum 5 years demonstrated experience with data visualization platforms (Power BI, Qlik, Tableau, etc.).
• Recent first- and second-author peer-reviewed relevant journal publication history.
• Excellent leadership and management skills; strong communication and interpersonal skills with a consultative mindset; highly analytical with the ability to integrate efforts to achieve goals; high level complex problem-solving skills and ability to foster an environment of shared accountability and individual career development.