Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies. Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients-- that is what Vantive aspires to deliver.
We believe Vantive will not only build our leadership in the kidney care space, it will also offer meaningful work to those who join us. At Vantive, you will become part of a community of people who are focused, courageous and don't settle for the mediocre. Each of us is driven to help improve patients' lives worldwide. Join us in advancing our mission to extend lives and expand possibilities.
Business Title: Product Owner & Solution Architect, Renal Analytics
Job Title: Consultant
Function: Digital Health / Renal Analytics
Grade: 18
The Product Owner is responsible for the proposal, analysis and detail design activities on cornerstone / enterprise or large projects as part of Baxter's Digital Health Renal Analytics organization. He / She will identify, evaluate, develop and /or redesign systems and procedures that meet user requirements. He / She is responsible for cross functional / business integration testing and aid business customers with business process redesign on large projects. He / She may lead a small team and provide leadership by assisting clients in identifying and responding to opportunities for cost-effective system implementations and solutions. Analyze and make decisions that have cross functional business impact. He / She must see the potential for data and compelling visualizations to drive the organization to greater performance. Meet each stakeholder "where they are" in a range of data literacy, understanding both the user's literal request and inferring the core goal behind that request.
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