Job Description:

Job Summary

The Application Manager will be responsible for the organization's portfolio of business applications across various departments. This will include development, implementation, upgrades, daily management, and maintenance, Stakeholder management, application availability, system and people performance will be part of the critical responsibilities.

Job Description

Position Summary:

The Data Science Manager is responsible for the technical delivery of AI projects, including machine learning, generative AI, and advanced analytics. You will be a technical expert in designing, developing, and engineering AI-based business solutions. In this role, you will manage a highly visible team of Data Scientists and Engineers, as well as external vendors. The team creates enterprise-level AI solutions for the healthcare supply chain and works across commercial, supply chain, and corporate functions. You will collaborate effectively with various technical and functional groups in a matrixed organization to deliver high-impact, high-scale solutions.

Key Responsibilities:

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  Strategy and Planning:
  
  
  • Bring best practices in AI solutions design, development, and engineering.
  
  
  • Work closely with product managers to understand functional needs and operational strategy.
  
  
  • Define technical strategy and collaborate on solution design.
  
  
  • Create project plans with clear milestones and handoff points.
  
  
  • Lead development and own technical execution.
  
  
  • Explore new AI capabilities with architecture to enhance enterprise capabilities.
  
  
  
  


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  Team Management:
  
  
  • Hire, manage, coach, mentor, and develop a team of Data Scientists and Engineers, both onsite and offshore. Select technology partners.
  
  
  • Create effective staffing plans, pulling appropriate resources for skills, budget, and timeline.
  
  
  • Communicate scope, deliverables, expectations, and timelines to technical teams.
  
  
  • Manage team performance through ongoing feedback.
  
  
  • Set annual and quarterly goals aligned with organizational needs.
  
  
  
  


• 
  Technical Expertise:
  
  
  • Define and follow best practices around the design, development, and engineering of AI solutions.
  
  
  • Help the team design clever experiments for rapid prototyping.
  
  
  • Introduce new AI capabilities to the enterprise.
  
  
  
  


• 
  Qualifications:
  
  
  • Five years of Data Science and AI experience with a large organization or a consulting firm.
  
  
  • At least two years of experience in a technical role showcasing intimate knowledge of creating and/or deploying high-scale machine learning solutions (Data Scientist/ML Engineer).
  
  
  • At least two years of experience in a functional role showcasing the ability to lead technical delivery of enterprise solutions. At least one year of people management experience.
  
  
  • Bachelor’s degree in computer science, or a related field of study. Graduate degree a plus.
  
  
  • Working knowledge of software development and deployment in cloud environments.
  
  
  
  

Benefits - Medline is committed to offering competitive benefits and a variety of choices to best meet the needs of you and your family. For employees scheduled to work at least 30 hours per week, this includes health and well-being, financial fitness, career development, paid time off and more. Employees scheduled to work less than 30 hours per week can participate in the 401(k) plan, access the Employee Assistance Program (EAP), Employee Resource Groups (ERG) and Medline Service Corps. For a more comprehensive list of our benefits, please click here.

Every day, we’re focused on building a more diverse and inclusive company, one that recognizes, values and respects the differences we all bring to the workplace. From doing what’s right to delivering business results, together, we’re better. Explore our Diversity, Equity and Inclusion page here.

Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

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