Technical Product Manager, Clinics in Charlotte, North Carolina at AccruePartners

Date Posted: 10/30/2019

Job Snapshot

Job Description

THE TEAM YOU'D BE JOINING:

  • A fast growing healthcare predictive analytics start-up that uses sophisticated math and lean principles to make healthcare providers more efficient
  • Their technology helps millions of people wait less at hospitals and specialty clinics across the country.
  • Customers include some of the nations largest hospitals including Stanford, NewYork-Presbyterian, the University of Texas MD Anderson Cancer Center, and more
  • The team includes veteran executives and the brightest minds from Google, McKinsey, Stanford, MIT, Duke, Berkeley, UIUC, and more
  • Series B company backed by multiple prominent investors in the healthcare space

WHAT THEY OFFER YOU:

  • Flexible hours, a casual work environment, and a highly collaborative team
  • You will have the opportunity to explore and experiment with bleeding edge technology 
  • There will be the opportunity to be a part of a dynamic team and build technology that saves lives on a daily basis 

WHERE THE POSITION IS LOCATED:

  • South Charlotte, NC

WHY THIS ROLE IS IMPORTANT:

  • Products leverage advanced algorithms to maximize resource utilization and improve operational efficiency
  • More than 45 healthcare providers, including some of the nation’s largest such as Memorial Sloan Kettering, MD Anderson, Stanford Health Care, University of Colorado Health, NewYork-Presbyterian will rely on you to deliver a next-generation product
  • Own product vision, strategy, and execution for operational improvement software products using data analysis, operations research, and machine learning
  • Analyze customer operational data using tools such as Tableau, R, and Python and identify operational issues and inefficiencies such as underutilization or overutilization of expensive assets, poor distribution of asset allocation, etc

THE BACKGROUND THAT FITS:

  • Bachelor’s Degree in mathematics / statistics, engineering / physics, or data science / operations research.
  • Experience working with enterprise SAAS (software as a service) products
  • Experience working with REST APIs and web services
  • Experience working with SQL / Data pipelines
  • Strong experience writing technical specs (JIRA or similar)
  • Experience with data analysis using sophisticated data analysis tools such as Tableau, SPSS, etc.
  • Experience with programming languages such as R, Python, Java, C or C++. 
  • Excellent analytical, critical thinking, and problem-solving skills. 
  • Excellent written and verbal communication skills and experience working with cross-functional agile (scrum/kanban) teams. 
  • Excellent organizational skills. 
  • Excellent leadership and people skills.

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