Lead Decision Scientist - Product Analytics

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

• Apply experience from strategy consulting, and analytics to successfully act as the product owner for multiple analytics initiatives.
• Demonstrate strong ability to communicate both technical concepts and implications to business partners, and business drivers to data-science partners.
• Be regarded as a business specialist with deep content specific knowledge.
• Translate business questions into analytics frameworks using the language of Data Scientists.
• Present the business recommendations in executive-ready stories with concise recommendations and influence senior leaders
• Identify delivery risks and apply a solid project management framework
• Anticipate and prevent problems and roadblocks autonomously before they occur
• Demonstrate a high level of ownership for business problems, roadmap prioritization, stakeholder alignment, and impact measurement

• 4+ years of business experience leading mid-scale initiatives with track record of business impact
• 7+ years total business experience
• 2+ years of stakeholder management experience
• 4+ years of experience with strategy consulting or on strategy teams in large companies
• Ability to work with data using SQL and Python
• Experience reviewing analytical methods and outputs

• 3+ years in a consulting firm using data to solve for client engagement
• Experience in collecting user requirements and translating them into functional requirements for a data analytics solution
• Experience in leading projects with Agile methodologies
• Healthcare sector experience

• Bachelor's degree in quantitative field, or an equivalent combination of formal education and experience.
• Master's degree in quantitative field or MBA strongly preferred.

The typical pay range for this role is: