Technical Product Manager for Analytics Products

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Job Code: Technical Product Manager for Analytics Products

Position Summary:

CVS Health’s Analytics & Behavior Change (A&BC) is an organization working to solve some of the most challenging problems at the intersection of technology and healthcare. A&BC leverages advanced analytics, machine learning, modeling, and a hypothesis-driven approach to transform data into actionable, customer-centric insights to drive growth, improve health outcomes and access to health care across all our businesses in CVS Health. Our data teams build next generation data and machine learning platforms and products in the cloud that help power CVS Health to make healthier happen for 100+ million customers.

As a Product Manager within A&BC you will be responsible for leading the development and launch of analytically powered applications for internal and external users. This role requires a strong understanding of product management, data analytics and structured problem-solving skills to ensure alignment with business strategy. The ideal candidate will be able to work effectively with cross-functional teams to bring data-intensive products to market. Additionally, as a Product Manager you will support the dissemination of best practices (design thinking, agile methodologies and more) to support A&BC in its product transformation.

Description / Fundamental Components:

1) Product Management excellence (70%):

• Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to data science, engineering and stakeholder teams
• Support engineering and data science teams to implement features by clarifying requirements, facilitating technical discussions, and helping technical team members to understand users and the business
• Facilitate problem solving and prioritization across teams, factoring in trade-offs between speed, scalability and quality
• Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses
• Collaborate with designers to create UX flows, wireframes and product designs
• Define, monitor and analyze product performance metrics, identifying opportunities for improvement and optimization
• Draft, refine and communicate business cases to key stakeholders to obtain input and buy-in
• Demonstrate and support dissemination of best practices for product management, product development, release management and user support
• Champion Agile methodologies and lean practices in product development

2) Data Science excellence (30%)

• Develops complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
• Performs analyses of structured and unstructured data to solve multiple and complex business problems
• Utilizing advanced statistical techniques and mathematical analyses and specialized expertise in the organization and/or industry
• Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques
• Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing
• Behaves as mentor to junior team members to provide technical advice

You will be working in a hybrid role in our CVS Health office in NYC.

Required Qualifications:

• 2+ years of experience in working cross-functionally with engineering teams with 1+ years of experience in Product Management or Technical Product Management role
• Demonstrated ability to communicate technical concepts and implications to business stakeholders and customers as well as business concepts and requirement to Data Science, Engineering, and other technical teams
• Familiar with user experience design and testing methodologies
• Experience in stakeholder management
• Strong verbal and written communication skills
• Proficiency in Agile methodologies and software
• 7+ years of relevant analytic experience
• Experience programming using R or Python
• Experience in SAS or SQL

Preferred Quali