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Global Supply Chain Intelligence Technical Program Manager jobs in United States
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Solventum · 13 hours ago

Global Supply Chain Intelligence Technical Program Manager

Solventum is a new healthcare company focused on improving lives through innovative solutions. The Global Supply Chain Intelligence Technical Program Manager will oversee multiple data science projects, develop algorithms, and serve as a strategic advisor to management while ensuring alignment between engineering, product, and business teams.
Medical Device
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Responsibilities

This leader will be responsible for multiple data science projects of large scope and impact that create novel algorithms, gather, transform, and integrate large volumes of data, perform analysis, interpret results and develop actionable insights and recommendations for use across the company
Act as internal advisor and expert; champion long-range designs for advanced analytics projects and innovations
Apply expert level and complex data science techniques to develop rich insights that enable informed data-driven strategies that have significant impact
Develop algorithms, statistical models, and machine learning applications that generate customer, product, market and manufacturing capabilities
Integrate complex data from multiple internal and external sources to create models using internal and cloud data science capabilities
Use programming languages and data science and statistical packages/tools/algorithms to translate algorithms and technical specifications into business solutions
Work with cloud computing and AI frameworks, data analysis systems, and modeling environments
Actively employ external data sources to improve current and potential models, following all data compliance policies and data use standards
Create visual representation and derive business insights generated from the data analysis
Track record of building innovative products
Contribute to, support, and guide the technical and business strategic planning process
Mentor other data scientists/data engineers
Serve as the primary liaison between engineering, product, and business teams to align priorities and manage communication
Collaborate with product owners, scrum masters, and business leaders to maximize backlog value and deliver high-impact solutions for supply chain business teams
Provide executive-level reporting on program status, KPIs, and progress across PLAN, SOURCE, MAKE, and DELIVER
Coordinate cross-functional teams, manage dependencies (DART, MDM, GPLs, Digitalization), and optimize resources
Identify and mitigate technical and delivery risks; lead recovery plans for failing programs
Ensure initiatives are delivered on time, within budget, and aligned with business objectives
May also serve as project manager for large technical initiatives

Qualification

Algorithm DevelopmentMachine LearningData ScienceDeep LearningNatural Language ProcessingStatistical ModelsCloud ComputingStrategic PlanningTeam CollaborationMentoring

Required

Bachelor's degree or higher with a minimum of 8 years of experience in Algorithm Development or Software Engineering in Machine Learning, Statistics, or Numerical Methods
Master's Degree with a minimum of 5 years of experience in Algorithm Development or Software Engineering in Machine Learning, Statistics, or Numerical Methods
Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status)

Preferred

Extensive industry experience in deep learning, machine learning, natural language processing, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
8 years of working with supply chains and understanding of supply chain data and processes

Benefits

Medical
Dental & Vision
Health Savings Accounts
Health Care & Dependent Care Flexible Spending Accounts
Disability Benefits
Life Insurance
Voluntary Benefits
Paid Absences
Retirement Benefits

Company

Solventum

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At Solventum, we enable better, smarter, safer healthcare to improve lives. We never stop solving for you.

Funding

Current Stage
Late Stage
Company data provided by crunchbase