The Hartford - Hartford, CT
posted about 1 month ago
The Hartford's Enterprise Data Services (EDS) is seeking a Director of Cloud Data Architecture responsible for modernizing and simplifying the Customer Data Ecosystem portfolio of assets. This role is pivotal in supporting various lines of business including Personal lines, Small Commercial, Middle and Large Commercial, Group Benefits, Claims, and Global Specialty lines. The focus is on enabling a 360-degree view of customers, which encompasses customer profiles, interactions, and omni-channel insights that align with The Hartford's strategic objectives. This position offers a hybrid or remote work arrangement, with an expectation for candidates living near an office to work in-person three days a week (Tuesday through Thursday). For those not near an office, maintaining their current work arrangement is acceptable, with occasional office visits as business needs arise. As a hands-on technical leader, the Director will be responsible for designing and delivering the data strategy for various consumption archetypes, including digital, predictive, prescriptive, descriptive, and the Customer Data Ecosystem portfolio. This includes developing and maintaining both current and target state data architectures, defining strategies and roadmaps to guide transformation efforts, and creating a multi-year data transformation roadmap to enhance customer profiles and interactions. The role also involves creating architecture patterns for cloud data ecosystems, ensuring alignment with data architecture principles, and analyzing emerging business and technology trends to translate them into actionable capabilities. The Director will also oversee data governance, ensuring that data quality, lineage, and cataloging are captured holistically and strategically on a large-scale data platform. Responsibilities include designing architecture patterns for real-time data integration, defining and enforcing data architecture standards, and leading initiatives for continuous improvement. The position requires collaboration with various teams to develop functional and technical blueprints, ensuring that automation and data strategy implementations are scalable and reusable.