Baxter
Job title:
Senior Manager, Digital Procurement & Analytics
Company
Baxter
Job description
Vantive: A New Company Built On Our LegacyBaxter is on a journey to separate our ~$5B Kidney Care segment into a standalone company. Vantive* will build on our nearly 70-year legacy in acute therapies and home and in-center dialysis to provide best-in-class care to the people we serve. 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 are driven to help improve patients’ lives worldwide. Join us as we revolutionize kidney care and other vital organ support.*Completion of the proposed separation of Kidney Care from Baxter into a standalone company (to be named Vantive) remains subject to the satisfaction of customary conditions.The Senior Manager, Digital Procurement & Analytics is responsible for enabling the transformation of Procurement to a digital & data driven function with connected and automated processes. They are responsible for leveraging data, analytics, and automation to drive insights, improve decision-making, and optimize business processes within the organization. This role requires a strong understanding of data analysis, data visualization, and automation tools to deliver actionable insights and streamline operationsThis position reporting to the Senior Director of Procurement Processes & Systems will lead a global team responsible for automation, data and analytics driven initiatives in Procurement and driving actionable insights, partnering closely with Global IT.What you’ll do:Develop and maintain data analytics capabilities, including data collection, cleaning, analysis, and visualizationCollaborate with stakeholders to identify opportunities for process improvement and optimization using data and automationDesign, develop, and implement automated workflows and processes using Power Platform (Power Apps, Power Automate, Power BI)Create data-driven reports, dashboards, and visualizations to communicate insights and recommendations to stakeholdersConduct ad-hoc analyses and investigations as needed to address business questions and identify trendsEnsure data quality, security, and compliance with relevant regulations and policiesCollaborate with cross-functional teams to integrate data analytics and automation into existing processes and workflowsDrive the development and implementation of sophisticated analytics techniques (e.g., predictive modeling, machine learning) to uncover hidden trends and opportunities.Stay up-to-date with emerging trends and best practices in data analytics, automation, and related technologiesWhat you’ll bring:Bachelor’s or advanced degree in Data Science, Analytics, Computer Science, or a related field.10+ years of experience in data management and analytics, with at least 5+ years in a leadership role.Proficiency in data analytics tools and programming languages (e.g., Python, R, SQL, Power Platform, Alteryx).Strong understanding of data governance principles and best practices.Ability to communicate complex data insights to non-technical partners.Excellent leadership, interpersonal, and team management skills.Reasonable AccommodationsBaxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the here and let us know the nature of your request along with your contact information.Recruitment Fraud NoticeBaxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our .
Expected salary
Location
Castlebar, Co Mayo
Job date
Thu, 12 Sep 2024 23:53:37 GMT
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