Director, Data Engineering, Analytics & AI

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. 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. Serve as a thought leader in engineering and modernization, influencing architecture, platform investments, and emerging technologies (e.g., GenAI, cloud data platforms). 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. Ensure adoption of best practices across software development, DevOps, security, and quality engineering. 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 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