Lead Product ManagerAetna Resources LLC, a CVS Health company, is hiring for the following role in New York, NY: Lead Product Manager to apply technical expertise regarding data models, data mining, segmentation, and statistical analysis to support and drive the strategic roadmap for data analytics product and features. Duties include: visualize data with advanced visualization tools to identify unique relationships between variables via hypothesis testing and modeling; make feature recommendations anddefine KPIs for major product enhancements; collaborate with internal project stakeholders across engineering, marketing, compliance, operations, and executive management to translate business needs into an effective product strategy based on real-time data insights; build and manage the product backlog incorporating epics and stories; deliver digital products or features for marketing/analytics use cases; evaluate functional opportunities and identify specific problems, personas, and the value of solving these customer pain points in aggregate; drive customer discovery sessions to gain a deep understanding of business processes, technical integrations, and user requirements for analytics products; work closely with engineering teams to build the product via scrum meetings, sprint planning, and ongoing requirements clarification; serve as subject matter expert and thought leader of assigned analytics products across the organization; research, document, and prioritize detailed product requirements to ensure that products meet business needs and performance objectives, and deliver an exceptional customer experience. Telecommuting available. Multiple Openings.Requirements: Master’s degree (or foreign equivalent) in Data Science, Statistics, Mathematics, Analytics, or a related field, and two (2) years of experience in the job offered or a related occupation. Requires two (2) years of experience in each of the following: digital clinical trial product management; Python or Pyspark; R; SQL or Hive-QL; Cypher; natural language processing, computer vision, deep neural networks, and time series analysis; container orchestration with Helm, Docker, and K8s/Kubeflow; analytics product management with Azure DevOps and Figma; AutoML tools including DataRobot, Dataiku, H2O, Databricks, and AWS SageMaker; Data-store with MongoDB, Neo4j, and AWS Neptune; cloud native solution design with AWS, Azure, and GCP; process flow design with Visio and draw.io; and API design and testing with Swagger and Postman. Telecommuting available.Minimum Salary: 132250
Maximum Salary: 260,000
Salary Unit: Yearly