Director I, Data Science Product Management

Liberty Mutual Insurance is seeking a Director of Data Science Product Management to support the organization and delivery of data science work that enables machine learning and AI solutions. This role focuses on developing product vision and partnering with various stakeholders to deliver measurable business value.

Responsibilities:

• Develop and drive product vision, roadmap, and prioritization for a portfolio of data science enablement capabilities
• Develop business value estimates and success measures to inform prioritization and evaluate outcomes
• Represent the voice of the customer and incorporate stakeholder feedback into product decisions
• Partner with Data Scientists, Data Engineers, Software Engineers, and Architects to support the development, deployment, monitoring, and adoption of machine learning and AI solutions
• Explore and evaluate technical solutions that improve model development, deployment, operational efficiency, and user experience
• Drive the development and adoption of reusable patterns and platform capabilities that enable teams to more effectively deliver data science solutions
• Partner with cross-functional teams to identify and prioritize technical debt reduction, DevOps, and MLOps improvements
• Serve as Product Owner for assigned capabilities, developing, maintaining, and prioritizing product backlogs aligned to roadmap objectives and customer needs
• Partner with delivery teams to support effective planning, execution, and delivery using Agile practices
• Lead discussions, planning sessions, and stakeholder engagements for complex initiatives
• Communicate product plans, priorities, recommendations, and outcomes to stakeholders and leadership

Requirements:

• Bachelor`s degree in quantitative field with 5 to 7 years of related experience within insurance, actuarial, data science or technology product management
• Bachelor`s degree in quantitative field with 7+ years, typically 10 or more years, of related experience within insurance, actuarial, data science or technology product management preferred
• Strong understanding of data science concepts, machine learning workflows, experimentation practices, and model lifecycle management
• Demonstrated understanding of the end-to-end data science lifecycle, including model development, deployment, monitoring, and business value realization
• Experience working directly with Data Scientists and partnering with Engineering and Architecture teams to deliver technical capabilities and business outcomes
• Familiarity with model deployment, monitoring, experimentation, DevOps, and MLOps practices
• Familiarity with modern data, analytics, and AI technologies (AWS, Azure, Databricks, etc.)
• Experience supporting enterprise AI/ML platforms, data science enablement capabilities, or model operationalization efforts
• Demonstrated ability to evaluate technical solutions and translate complex data science, AI, and engineering concepts into actionable product decisions and business outcomes
• Experience working effectively in large, complex, and highly matrixed organizations
• Strong communication, stakeholder management, influence, and organizational leadership skills
• Master`s degree preferred
• FCAS / ACAS preferred