Director, Data Engineering, Analytics & AI

About the role

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.

Responsibilities

• Lead Analytics platforms and AI data cloud execution while developing a world-class data engineering organization.
• 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.
• Shape and drive AI engineering strategy aligned with enterprise architecture, modern engineering practices, and cloud-native platforms.
• Achieve 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-functionally execute 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.
• 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.

Requirements

• Bachelor's or Master's Degree in technical or business discipline or related experience; Master's Degree preferred.
• Generally, more than 10 years related experience with 5 years in leadership role.
• In-depth knowledge of IT concepts, strategies and methodologies and their application to business opportunities.
• In-depth knowledge of business operations, objectives and strategies.
• In-depth knowledge of project planning methodologies and tools and IT standards and guidelines.
• Advanced knowledge of management concepts, practices and techniques.
• Ability to promote a team environment consisting of several teams.
• Highly developed negotiation, facilitation and consensus building skills.
• Highly developed oral and written communication skills; strong presentation skills.

Qualifications

• General qualifications for the role include:
• Experience with Snowflake and Databricks platforms.
• Strong understanding of data engineering principles and best practices.
• Proven ability to manage and mentor a team of engineers.
• Experience with cloud-based platforms and services.
• Knowledge of data modeling, data warehousing, and data integration.
• Experience with machine learning and AI technologies.
• Experience with data governance and compliance.

Skills

• Technical leadership and strategic planning.
• Project management and execution.
• Collaborative problem-solving and cross-functional teamwork.
• Strategic thinking and business acumen.
• Communication and presentation skills.
• Leadership and management skills.
• Technical expertise in data engineering, AI, and cloud platforms.

Benefits

Liberty Mutual offers a comprehensive benefits package that includes:

• Comprehensive medical, dental, and vision plans.
• Flexible spending accounts for healthcare and dependent care.
• Paid time off, including vacation, sick leave, and holidays.
• Retirement savings plans with company matching.
• Employee assistance programs.
• Professional development opportunities.
• Employee resource groups.

Pay

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.

Schedule

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.

Location

Work is performed in a professional office setting. The position requires travel to other offices and client sites as needed.