Director, Data Engineering, Analytics & AI

Description NOTE: This role has a hybrid work arrangement (2x per week) in one of the following Tech hub locations: Plano, TX/Columbus, OH/Boston, MA/Portsmouth, NH/Indianapolis, IN. The USRM Data Engineering team is hiring a Director, Data Engineering, Analytics & AI to lead and grow our data and analytics platform capabilities. This role will focus on advancing USRM's data and analytics foundation through Snowflake's Cortex AI/ML capabilities and the Databricks analytics platform, enabling scalable, intelligent data solutions across the enterprise. The ideal candidate partners closely with data teams and data scientists across USRM to ensure the right data infrastructure, pipelines, and platform capabilities are in place to accelerate model development, advanced analytics, and AI-driven insights. This role requires a collaborative leader who partners with teams across Product, Underwriting, Distribution, Service, Data, and Platform teams to identify and design capabilities which produce seamless, high-quality data outcomes to enable business agility and customer value using data agents and AI. By working at the intersection of engineering excellence and cross-functional alignment, the Director will ensure that data infrastructure, pipelines, and platform capabilities are purpose-built to support the evolving needs of data scientists and domain stakeholders across USRM. This role combines deep technical leadership, complex program execution, and organizational leadership, and is pivotal to delivering a simplified, future-ready insurance Data platform. About The Role As Director, Data Engineering, Analytics & AI, you will lead Analytics platforms and AI data cloud execution while developing a world-class data engineering organization. Engineering Leadership & Organizational Development Foster a culture of technical excellence, innovation, accountability, and continuous learning. Oversee talent strategy including hiring, coaching, performance management, and succession planning. Establish and scale global engineering teams, including vendor and offshore strategies aligned to capacity and cost objectives. Technology Strategy & Delivery Shape and drive AI engineering strategy aligned with enterprise architecture, modern engineering practices, and cloud-native platforms. Ensure adoption of best practices across software development, DevOps, security, and quality engineering. Balance speed-to-market with long-term scalability, reliability, and operational excellence Lead the hands-on design, build, and deployment of AI-powered data agents within the Snowflake environment to automate data pipeline orchestration, quality monitoring, and metadata management. Cross-Functional Leadership & Business Alignment Partner with Product, Underwriting, Data, Experience, and Architecture teams to deliver business value and seamless customer experiences. Collaborate with senior and executive leadership to align and define data engineering capabilities with USRM data & enterprise data strategy and modernization goals. Own delivery outcomes, including timelines, quality, system health, and business impact. Represent data teams in planning, budgeting, and resource allocation discussions. Thought Leadership & Innovation Serve as a thought leader in engineering and modernization, influencing architecture, platform investments, and emerging technologies (e.g., GenAI, cloud data platforms). Advance Data engineering practices and contribute to Liberty Mutual's broader technology community. Key Responsibilities Be accountable for delivery of AI capability milestones across data and analytics platform capability roadmap Partner closely with Enterprise Architecture, Data Architecture to ensure that the Data engineering aligns with our go-forward architecture strategy and aligns with existing architecture blueprints. Drive cross-functional execution across Snowflake, data integrators, platform teams, and downstream systems Architect and deliver a shared, interoperable data layer that enables seamless data exchange and unified governance between Snowflake and D 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 everyda