LocationDuluth, Georgia, United States of America; Northridge, California, United States of America
Work modeon-site
SenioritySenior
Company size1,001–5,000 people
First seenOct 10, 2026 · 1d ago
Verified live1d ago
We anticipate the application window for this opening will close on - 15 Oct 2026
About the company
At MiniMed, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You’ll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world.
About the Role
At MiniMed, data science only matters when it changes a decision, a workflow, or an outcome for the people who depend on our therapies. We are looking for a Builder Product Manager, AI & Data Science to own that last mile — the space between a well-framed business problem and a delivered, validated result.
You will not be measured by whether a model shipped; you will be measured by whether the business outcome moved. When a solution is not yet delivering the value it should, you dig deeper into the problem, keep the effort moving forward, and reshape it until it delivers.
This is a hybrid position based in Northridge, CA or Atlanta, GA.
A Day in the Life
Responsibilities may include the following and other duties may be assigned.
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Own the outcome, end to end, for a portfolio of AI and data science initiatives — from problem framing through business-validated ROI, not just model delivery.
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Shape and probe demand from business partners across Commercial, Marketing, Manufacturing & Quality, and Support; translate ambiguous asks into sharply framed, solvable problems.
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Drive feature and data-source ideation — when a model underperforms, lead the “what other signals do we need” conversation and re-scope the problem accordingly.
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Coordinate the triad of business stakeholders, data scientists, and data engineers so a use case moves without a senior leader having to personally course-correct it.
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Validate every model against business KPIs, not just offline accuracy — establish success metrics and hold the initiative accountable to measurable value.
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Reflect and pivot: recognize when an approach has stalled and redirect effort before it consumes a cycle.
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Provide outcome-owning leadership for a cross-functional pod where the operating model calls for it — coordinating UI/UX and solution-engineering dependencies through influence. This is a leadership-through-influence dimension, not a people-management role; the position has no direct reports.
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Apply responsible-AI and evaluation discipline appropriate to a regulated medical-device environment (privacy, auditability, human-in-the-loop where required).