The Hartford - Hartford, CT

posted 3 months ago

Full-time - Senior
Remote - Hartford, CT
Insurance Carriers and Related Activities

About the position

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 aligned with The Hartford's strategic objectives. This position can be hybrid or fully remote, with expectations for in-office work for those living near one of the company's locations three days a week, while remote employees are expected to come into the office 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, and descriptive analytics. The role involves collaborating with senior stakeholders across functional areas to develop and maintain both current and target state data architectures. The Director will define strategies and roadmaps to guide transformation efforts, ensuring the modernization of data platforms and processes to enhance efficiency, scalability, and agility. The Director will also create a multi-year data transformation roadmap to advance customer profile and interaction domains, enabling a comprehensive view of customers. This includes developing 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. Additionally, the role encompasses data governance, real-time data integration, and the establishment of best practices for data architecture standards and policies. Leadership and collaboration are key components of this role, as the Director will lead initiatives for continuous improvement, mentor technical teams, and work closely with architecture, business, and IT support teams to develop functional and technical blueprints. The position also emphasizes automation and scalability, ensuring that implementations are reusable and integrated effectively.

Responsibilities

  • Design and deliver the data strategy for all consumption archetypes including digital, predictive, prescriptive, and descriptive analytics.
  • Develop and maintain both current and target state data architectures.
  • Define strategy and roadmaps to guide transformation efforts for modernizing data platforms and processes.
  • Create a multi-year data transformation roadmap to advance customer profile and interaction domains.
  • Develop architecture patterns for cloud data ecosystems including AWS Cloud, PySpark, Snowflake, Tableau, and ThoughtSpot.
  • Analyze emerging business and technology trends and translate them into actionable capabilities.
  • Solution data platforms to enable AI and build knowledge bases for RAG.
  • Design architecture patterns using near real-time or real-time data cache for integration with operational systems.
  • Define and enforce data architecture standards, processes, metrics, and policies.
  • Lead initiatives for continuous improvement and ensure alignment between business strategies and technology roadmaps.

Requirements

  • Bachelor's degree in management information systems, Finance, Statistics, Computer Science, or a related field.
  • 15+ years of experience in architecture, design, and data engineering development of large-scale data ecosystems.
  • 7+ years of technical leadership experience.
  • Mastery level data architecture skills with a deep understanding of data architecture patterns, data warehouse, integration, data lake, data domains, data products, BI, and cloud technology capabilities.
  • Hands-on expertise in Dynamo DB, Kinesis, AWS EC2, Python, Spark, and Scala Spark streaming.
  • Strong experience with design and development of complex data ecosystems leveraging next-generation cloud technology stack across AWS Cloud, PySpark, and Snowflake.
  • Experience with near real-time data processes and handling ELT/data transformation on streaming data.
  • Extensive experience in No SQL databases design and optimizations for API consumption.
  • Broad knowledge across multiple technologies including big data-based solutions, microservices, container, cloud-based solutions, and integration methodologies.

Nice-to-haves

  • Experience in the Omni Channel Customer insights and Property & Casualty insurance industry is preferred.
  • Agile experience/mindset and portfolio delivery experience.

Benefits

  • Short-term or annual bonuses
  • Long-term incentives
  • On-the-spot recognition
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