Senior Director - Enterprise AI/ML Technology Product Management
Description
As the Senior Director – Enterprise AI/ML Technology Product Management, you will lead a team of Product Managers driving Liberty Mutual’s next-generation AI/ML technology platform. Your products empower hundreds of data scientists, ML engineers, and software engineers to efficiently build, train, govern, and deploy advanced models that deliver measurable business value across the enterprise.
The Enterprise Data & Data Science (ED&DS) 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 in how AI/ML is executed at Liberty Mutual, and supporting enterprise AI programs. If you’re an experienced product leader who thrives at the intersection of strategy, data science, 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.
Key Responsibilities
Set Vision & Strategy: Define and evolve the enterprise AI/ML technology product strategy, aligning it with business objectives, change management, responsible AI expectations, and emerging industry trends.
Product Leadership (Platform & Tooling): Guide the creation and delivery of infrastructure, tooling, and platforms that enable scalable, secure, and efficient AI/ML model development and deployment. Drive productivity, sophistication, and speed outcomes in areas such as:
Model development & experimentation: notebook/IDE experience, experiment tracking, model registry, reusable templates
Training & compute enablement: scalable training patterns, environment provisioning, performance optimization, cost transparency
Deployment & serving: batch/real-time inference enablement, CI/CD for ML, rollout/rollback patterns, monitoring/observability
Prompt-based solutions enablement (where applicable): evaluation frameworks, version control, deployment, lifecycle management, governance and guardrails
Platform adoption & developer experience: documentation, enablement, self-service onboarding, internal community feedback loops
Cross-Functional Collaboration & Influence: Partner with data scientists, ML engineers, data engineers, software engineers, architecture, and technology leaders to translate enterprise needs into actionable roadmaps.
Portfolio & Investment Management: Lead prioritization and trade-off decisions across multiple product areas, ensuring resource alignment and delivery against strategic objectives. Shape investment proposals and executive communications that clearly articulate value, cost, risk, and adoption strategy.
Metrics & Impact: Establish and track KPIs to measure platform adoption, reliability, user satisfaction, efficiency, and business impact. Use data and user insights to guide continuous improvement and roadmap evolution.
People Leadership: Manage, mentor, and develop a high-performing team of product managers and dotted-line engineering teams; set a strong operating cadence and culture of customer focus, accountability, and learning. Act as a change agent and leader for our 1000+ person Data Science community across Liberty Mutual.
What You Bring
Visionary, Customer-Centric Leadership: Connects technical depth with strategic foresight to shape our enterprise AI/ML roadmap. Starts from user needs and painpoints and shapes them into actionable plans forward.
Strong Talent Development: Brings experience and passion to shaping the next generation of product and data science leaders at our company.
Deep AI/ML Understanding: Strong grasp of MLOps and data science infrastructure, including the organizational challenges of scaling AI/ML solutions across multiple teams.
Platform Product Leadership: Demonstrated experience leading large-scale technology platforms or infrastructure products, ideally serving technical users (DS/ML Eng/Software Eng).
Strategic Agility: Ability to make data-informed decisions amid ambiguity, and to drive clarity and alignment across competing priorities.
Collaboration & Influence: Strong track record of influencing across a complex organization, aligning stakeholders with different incentives and constraints.
Execution Excellence: Ability to translate strategy into delivery through strong roadmapping, dependency management, and operating rhythms.
Qualifications
Bachelor’s degree in a quantitative field with 15+ years of related experience in data/data science or technology product management
Prior experience effectively managing large teams
Master’s degree preferred
Preferred: Experience with Snowflake and/or Databricks, AWS, and/or Airflow in enterprise data/AI environments
Preferred: Experience working in Financial Services (or similarly regulated environment) within a large, matrixed organization
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit:https://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices
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Senior Director - Enterprise AI/ML Technology Product Management
Description
As the Senior Director – Enterprise AI/ML Technology Product Management, you will lead a team of Product Managers driving Liberty Mutual’s next-generation AI/ML technology platform. Your products empower hundreds of data scientists, ML engineers, and software engineers to efficiently build, train, govern, and deploy advanced models that deliver measurable business value across the enterprise.
The Enterprise Data & Data Science (ED&DS) 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 in how AI/ML is executed at Liberty Mutual, and supporting enterprise AI programs. If you’re an experienced product leader who thrives at the intersection of strategy, data science, 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.
Key Responsibilities
Set Vision & Strategy: Define and evolve the enterprise AI/ML technology product strategy, aligning it with business objectives, change management, responsible AI expectations, and emerging industry trends.
Product Leadership (Platform & Tooling): Guide the creation and delivery of infrastructure, tooling, and platforms that enable scalable, secure, and efficient AI/ML model development and deployment. Drive productivity, sophistication, and speed outcomes in areas such as:
Model development & experimentation: notebook/IDE experience, experiment tracking, model registry, reusable templates
Training & compute enablement: scalable training patterns, environment provisioning, performance optimization, cost transparency
Deployment & serving: batch/real-time inference enablement, CI/CD for ML, rollout/rollback patterns, monitoring/observability
Prompt-based solutions enablement (where applicable): evaluation frameworks, version control, deployment, lifecycle management, governance and guardrails
Platform adoption & developer experience: documentation, enablement, self-service onboarding, internal community feedback loops
Cross-Functional Collaboration & Influence: Partner with data scientists, ML engineers, data engineers, software engineers, architecture, and technology leaders to translate enterprise needs into actionable roadmaps.
Portfolio & Investment Management: Lead prioritization and trade-off decisions across multiple product areas, ensuring resource alignment and delivery against strategic objectives. Shape investment proposals and executive communications that clearly articulate value, cost, risk, and adoption strategy.
Metrics & Impact: Establish and track KPIs to measure platform adoption, reliability, user satisfaction, efficiency, and business impact. Use data and user insights to guide continuous improvement and roadmap evolution.
People Leadership: Manage, mentor, and develop a high-performing team of product managers and dotted-line engineering teams; set a strong operating cadence and culture of customer focus, accountability, and learning. Act as a change agent and leader for our 1000+ person Data Science community across Liberty Mutual.
What You Bring
Visionary, Customer-Centric Leadership: Connects technical depth with strategic foresight to shape our enterprise AI/ML roadmap. Starts from user needs and painpoints and shapes them into actionable plans forward.
Strong Talent Development: Brings experience and passion to shaping the next generation of product and data science leaders at our company.
Deep AI/ML Understanding: Strong grasp of MLOps and data science infrastructure, including the organizational challenges of scaling AI/ML solutions across multiple teams.
Platform Product Leadership: Demonstrated experience leading large-scale technology platforms or infrastructure products, ideally serving technical users (DS/ML Eng/Software Eng).
Strategic Agility: Ability to make data-informed decisions amid ambiguity, and to drive clarity and alignment across competing priorities.
Collaboration & Influence: Strong track record of influencing across a complex organization, aligning stakeholders with different incentives and constraints.
Execution Excellence: Ability to translate strategy into delivery through strong roadmapping, dependency management, and operating rhythms.
Qualifications
Bachelor’s degree in a quantitative field with 15+ years of related experience in data/data science or technology product management
Prior experience effectively managing large teams
Master’s degree preferred
Preferred: Experience with Snowflake and/or Databricks, AWS, and/or Airflow in enterprise data/AI environments
Preferred: Experience working in Financial Services (or similarly regulated environment) within a large, matrixed organization
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit:https://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices