CVS Health - Austin, TX

posted 3 months ago

Full-time - Mid Level
Austin, TX
Health and Personal Care Retailers

About the position

CVS Health's Analytics & Behavior Change (A&BC) is an organization dedicated to addressing some of the most pressing challenges at the intersection of technology and healthcare. The A&BC team utilizes advanced analytics, machine learning, and a hypothesis-driven approach to transform data into actionable insights that are customer-centric. This transformation is aimed at driving growth, improving health outcomes, and enhancing access to healthcare across all CVS Health businesses. The data teams within A&BC are responsible for building next-generation data and machine learning platforms and products in the cloud, which empower CVS Health to positively impact the health of over 100 million customers. As a Technical Product Manager within A&BC, you will play a pivotal role in leading the development of analytic-powered applications tailored for internal users. This position requires a robust understanding of product management, software development, data analytics, and business strategy. The ideal candidate will excel in collaborating with cross-functional teams to successfully bring data-driven products to market. You will be responsible for developing user stories, acceptance criteria, and detailed product specifications to effectively communicate feature requirements to Data Science, Engineering, and Stakeholder teams. Additionally, you will define, monitor, and analyze product performance metrics, identifying opportunities for improvement and optimization. Your role will also involve working closely with customers, end users, and other stakeholders to continuously evolve the product roadmap. You will clarify and coordinate dependencies with other product teams and stakeholders, proactively mitigating risks and dependencies. Supporting the establishment and maintenance of release management, product planning, and launch frameworks will be essential. Furthermore, you will develop and execute strategies for proactive user support and issue resolution, while championing Agile methodologies and lean practices in product development. Your ability to communicate effectively, both orally and in writing, will be crucial as you convey technical concepts to business stakeholders and vice versa.

Responsibilities

  • Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to Data Science, Engineering, Stakeholder teams
  • Define, monitor and analyze product performance metrics, identifying opportunities for improvement and optimization
  • Work with customers, end users, and other stakeholders to continuously evolve the roadmap
  • Clarify and coordinate dependencies with other product teams and stakeholders, and mitigate the risks and dependencies proactively
  • Support the establishment and maintenance of release-management, product planning and launch frameworks
  • Develop and execute strategies for proactive user support and issue resolution
  • 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

Requirements

  • 7+ years of experience as a Technical Product Manager with at least 3+ years of experience in data analytics platforms
  • Partner closely with senior management and technical teams to define and align with stakeholders on vision, strategy, and roadmaps
  • Own data analysis to inform data-driven decisions and define insights
  • Demonstrated ability to communicate (oral and written), with experience in communicating 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
  • Proven track record of managing all aspects of a successful product throughout its lifecycle
  • Familiarity of Data Science concepts
  • Ability to drive outcomes in complex environment

Nice-to-haves

  • Proven track record of managing all aspects of a successful analytics product throughout its lifecycle in Enterprise B2B products context
  • Deep knowledge of various types of healthcare data, including strong grasp of data nuances, common use cases, and limitations, with experience in common analytics tools
  • Demonstrated ability to succeed in a complex environment and influence adoption of new thinking and find innovation opportunities
  • Strong interest in the Healthcare and Pharmaceutical sector

Benefits

  • Full range of medical, dental, and vision benefits
  • 401(k) retirement savings plan
  • Employee Stock Purchase Plan
  • Fully-paid term life insurance plan
  • Short-term and long-term disability benefits
  • Well-being programs
  • Education assistance
  • Free development courses
  • CVS store discount
  • Discount programs with participating partners
  • Paid Time Off (PTO) or vacation pay
  • Paid holidays throughout the calendar year
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