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Solventum · 10 hours ago

Global Supply Chain Intelligence Technical Program Manager

US, Minnesota, Maplewood

Full-time

Hybrid

Senior Level

$163K/yr - $224K/yr

6+ years exp

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

Responsibilities

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 ProcessingArtificial IntelligenceStatistical ModelsSoft Skills

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 6 years of experience in Algorithm Development or Software Engineering in Machine Learning, Statistics, or Numerical Methods

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