Builder Product Manager, AI & Data Science

MiniMed•Johns Creek, GA

2d•Hybrid

About The Position

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.

Requirements

Bachelor's degree and 4+ years of experience in data/analytics product management, data science, or a closely related technical-business role. OR Advanced degree and 2+ years of the experience above.
Experience and ownership of AI/ML or analytics initiatives through to a measured business outcome (not solely model delivery).

Nice To Haves

Experience embedding with a business unit as a data-science/analytics partner, or leading a cross-functional pod/squad as an outcome-owning product owner.
Familiarity with modern AI product management practice — dual product-and-model metrics, evaluation harnesses, and A/B/online validation of model value.
Experience in a regulated industry (medical device, healthcare, financial services) and comfort with HIPAA, data governance, and audit constraints.
Working familiarity with a modern AI stack (e.g., Databricks, enterprise agent platforms, and LangGraph/LangSmith-style agent tooling).
Strong technical fluency in AI/ML — able to reason confidently about problem framing, feature/data-source selection, model evaluation, and modern agent tooling, and to engage credibly with data scientists and engineers. This is a technically fluent PM role; day-to-day, hands-on production coding is not expected, but the technical grounding is a real requirement, not optional.
Proven ability to influence without authority across business and technical stakeholders.
Structured problem-framing toolkit and strong executive communication / storytelling skills.

Responsibilities

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.
Shape and probe demand from business partners across Commercial, Marketing, Manufacturing & Quality, and Support; translate ambiguous asks into sharply framed, solvable problems.
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.
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.
Validate every model against business KPIs, not just offline accuracy — establish success metrics and hold the initiative accountable to measurable value.
Reflect and pivot: recognize when an approach has stalled and redirect effort before it consumes a cycle.
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.
Apply responsible-AI and evaluation discipline appropriate to a regulated medical-device environment (privacy, auditability, human-in-the-loop where required).