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Description:
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
This position works out of the Chicago, IL or Plano, TX locations in the Medical Devices Digital Solutions organization. Abbott Medical Devices, with revenue of >$16.5B in 2023, is a global leader in providing life changing technology for the management and treatment of people living with chronic conditions including Diabetes, Cardiovascular disease, Chronic Pain, and Movement Disorders.
The Senior Manager, AI Product Development reports to the Head of Technology, Digital Solutions.
The Senior Manager, AI Product Development role will provide leadership for AI Product Development focused on external healthcare customer facing solutions supporting HCPs, HCOs, payors etc.
The Senior Manager, AI Product Development role will work with cross-functional teams to plan, develop, and deliver state of the art Data Science solutions supporting our patients and customers.
Responsibilities:
- Define strategy to build high performing AI Product Development teams. Formulate team goals to support business growth objectives, performance management, recruit, develop and retain talent to support business needs.
- Provides technical and functional leadership for a highly skilled product AI team (data engineers, data scientists, software architects etc) to accomplish team goals.
- Responsible for on-time and high-quality delivery of product focused AI solutions in collaboration with cross-functional teams across Digital Solutions and Medical Device divisions.
- Provides leadership to define development methodologies, build project plans, establish development estimate practices, project resource allocation, ensure relevant technology stack (development environment and toolchains) for continuous integration and continuous deployment.
- Challenge and coach team members as well as at external partners to push for optimal insights and optimized/tailored/high-impact scalable data science solutions.
- Develop team processes, prioritize data science work, develop team roadmaps and deliverables, and provide hands on coaching and review of work performed by team.
- Define and ensure implementation of data science standards for exploration, development, and deployment.
- Develops budget estimates, obtains capital resources to deliver business goals. Contributes to business unit and divisional strategy planning.
- Provides mentorship and career development oversight for direct report employees.