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, DataEngineering, Analytics & AI to lead and grow our data and analyticsplatform capabilities. This role will focus on advancing USRM's data andanalytics 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 withteams 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 Analyticsplatforms and AI data cloud execution while developing a world-class dataengineering 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
Qualifications
- 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.
