ML Technology Product Management

Liberty Mutual•Seattle, WA

33d

About The Position

As the Director II/Senior Director - Enterprise AI/ML Technology Product Management, you will lead a team of Product Managers driving Liberty Mutual's next-generation AI/ML infrastructure. Your products empower hundreds of data scientists and engineers to efficiently build, train, and deploy advanced models that deliver measurable business value across the enterprise. The Enterprise Data & Data Science (ED&DS) Product team was established to provide centralized product support and expertise to data science teams across our global organization. We focus on developing best-in-class AI/ML technologies, driving convergence on how AI/ML is executed at Liberty Mutual and support enterprise AI programs. If you're an experienced product leader who thrives at the intersection of strategy, technology, and execution and you're passionate about shaping the future of AI/ML at a Fortune 100 company this is the opportunity for you.

Requirements

Deep AI/ML Understanding: Strong grasp of MLOps, LLMOps, data science infrastructure, and the organizational challenges of scaling AI/ML solutions.
Proven Product Mastery: Product management with demonstrated experience leading large-scale AI/ML or data technology products.
Strategic Agility: Ability to make data-informed decisions amid uncertainty and ambiguity.
Collaboration & Influence: Strong track record of fostering alignment across complex organizations.
Director II-Bachelor`s degree in quantitative field with 10+ years of related experience within data/data science science or technology product management
Senior Director-Bachelor`s degree in quantitative field with 15+ years of related experience within data/data science or technology product management
Prior experience effectively managing large teams

Nice To Haves

Master`s degree preferred
Management experience preferred

Responsibilities

Set Vision & Strategy: Define and evolve the enterprise AI/ML technology strategy, aligning it with business objectives and emerging industry trends.
Product Leadership: Guide the creation and delivery of infrastructure, tooling, and platforms that enable scalable, secure, and efficient AI/ML model development and deployment.
Cross-Functional Collaboration: Partner with data scientists, ML engineers, software engineers, and technology leaders to translate enterprise needs into actionable product roadmaps.
Portfolio Management: Lead prioritization and trade-off decisions across multiple product areas, ensuring resource alignment and delivery against strategic objectives.
Metrics & Impact: Establish KPIs to measure product adoption, performance, and business impact using insights to guide continuous improvement.
People Leadership: Manage, mentor, and develop a high-performing team of product managers.