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Senior Associate, Digital Health Data 90757

Remote, any state, US

Location Designation: Fully Remote 

 

Sr. Associate, Digital Health Data

 

Service is the engine powering exceptional experiences for New York Life's clients, agents, and beneficiaries, playing a vital role in creating seamless customer experiences that build trust and loyalty. Whether directly supporting clients throughout their life insurance needs, crafting strategic initiatives, or building innovative digital solutions, our work directly impacts the quality of every interaction. Digital data is one of our pillars to drive New York Life into a data centric company and we are part of a fast-growing team to advance its digitization strategy.

 

Role Overview:

Our team serves as steward and custodian of digital health data to support key insurance functions. In this position, you will have a unique opportunity to have an impact on the future growth and operations of the company through the development of key strategic capabilities for New York Life. You will join a team focused on leveraging digital health data to enhance the customer experience, increase efficiency of operations, and improve the underwriting risk assessment.

We’re looking for a passionate, experienced outcome-driven Senior Associate to support and grow our Digital Health Data team. In this highly visible position, you will:

  • Have an opportunity to work with a rich portfolio of health data from various industry sources
  • Partner with cross-functional teams to design, develop and operationalize data strategies and provide health data subject matter expertise to internal stakeholders
  • Develop and explore new use cases with health data to support New York Life innovation

 

What You’ll Do:

  • Develop and manage a clinical data integration process to facilitate data retrieval, analysis, and aggregation, to ensure its usability and integrity.
  • Develop and maintain data tools, such as databases, dashboards, and analytical frameworks, to streamline clinical data utilization.
  • Perform complex health data analyses using quantitative and qualitative methods to identify gaps, trends, and insights.
  • Act as subject matter expert (SME) and liaison for clinical data throughout the enterprise. Collaborate with cross-functional teams, including IT, data governance, data science and business departments, to understand data needs and provide relevant data solutions.
  • Proactive in achieving results for program goals and finding opportunities to improve processes.
  • Support decisions and business initiatives with key insights, data analysis and effective presentations of important factors driving the program management.
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