Senior Director II, Data Science - USRM Data Science Complex Components

About the Role

As a leader in the data science community, you will serve as a critical bridge between advanced research and near-term business execution. Your expertise will help connect the work of a technically deep, research-oriented data science organization to the practical needs of pricing, product, underwriting, and go-to-market teams. Your ability to navigate a highly matrixed environment with clarity, influence, and enterprise perspective will be essential to success.

The Complex Components team, which you will lead, is composed of approximately three dozen data scientists and data science managers organized across three core domains: high-cardinality variables, telematics, and credit-based models. These teams develop, enhance, and deploy sophisticated modeling approaches that help Liberty Mutual better understand risk, improve pricing precision, support underwriting effectiveness, and enable competitive go-to-market strategies.

What You Will Do

• Lead and develop a multi-team data science organization responsible for complex modeling components supporting USRM pricing and underwriting
• Set the strategic direction for data science research and model advancement across high-cardinality variables, telematics, and credit models
• Partner closely with Product Design & Modeling, Product Management, Underwriting, Analytics, Technology, and operational stakeholders to ensure data science work is aligned to business priorities and translated into measurable outcomes
• Oversee the development, validation, implementation, and ongoing enhancement of pricing and underwriting model components
• Balance longer-term scientific advancement with near-term tactical delivery, including support for ongoing pricing model rollouts and business implementation needs
• Build strong connections between technical research teams and business-facing partners, ensuring that model innovations are actionable, explainable, and adopted effectively
• Develop data science managers and senior individual contributors through coaching, career development, performance management, and thoughtful organizational design
• Create an environment that promotes scientific rigor, innovation, collaboration, accountability, and sound judgment
• Influence senior leaders across the organization by clearly communicating technical concepts, tradeoffs, risks, and recommendations in business-relevant terms
• Help establish priorities, manage capacity, and guide investment decisions across a broad and technically complex portfolio of modeling work
• Ensure appropriate model governance, documentation, monitoring, and risk management practices are embedded in the team's work

What We Are Looking For

• Advanced degree (in Statistics, Mathematics, Data Science, or other relevant field of study) or Actuarial designation and 8+ years of relevant experience
• Significant experience leading data science, analytics, actuarial, modeling, or quantitative research teams in a complex business environment
• Demonstrated ability to lead leaders and manage a department-scale organization, including data scientists and data science managers
• Strong understanding of predictive modeling, machine learning, statistical methods, and model implementation in business decision-making contexts
• Experience supporting pricing, underwriting, product management, insurance, financial services, or another analytically intensive industry
• Excellent communication and interpersonal skills, with the ability to influence senior leaders and stakeholders
• Ability to navigate a highly matrixed environment with clarity, influence, and enterprise perspective

Nice to Have

• Experience with cloud-based data platforms and tools such as AWS, Azure, or Google Cloud
• Knowledge of programming languages such as Python, R, or SQL
• Familiarity with data visualization tools like Tableau, Power BI, or D3.js
• Certification in data science, machine learning, or a related field

Benefits and Perks

• Competitive salary and bonus structure
• Comprehensive health, dental, and vision insurance
• 401(k) matching program
• Flexible work arrangements, including remote work options
• Paid time off and holiday schedule
• Professional development opportunities, including training and conference attendance
• Access to cutting-edge technology and tools
• Collaborative and dynamic work environment

• Tip: Showcase your expertise in predictive modeling, machine learning, and statistical methods by providing specific examples of successful projects you've led or contributed to.
• Tip: Develop a strong understanding of the insurance industry and Liberty Mutual's business priorities to demonstrate your ability to drive business impact.
• Tip: Prepare to discuss your experience leading data science teams and managing complex projects, highlighting your ability to navigate matrixed environments.
• Tip: Be ready to explain technical concepts and model innovations in business-relevant terms, demonstrating your ability to communicate with senior leaders and stakeholders.
• Tip: Research Liberty Mutual's culture and values to understand how you can contribute to and thrive in their organization.
• Tip: Consider creating a portfolio or repository of your work to showcase your skills and experience to potential employers.
• Tip: Practice your negotiation skills to ensure you're prepared to discuss salary and benefits packages that align with your experience and qualifications.