Dir Data Architecture - GT06AE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking a Director of Data Architecture to lead the strategic design, governance, and evolution of the Employee Benefits data ecosystem within the Enterprise Data Services (EDS) organization. This leadership role offers a unique opportunity to define and execute a modern data architecture vision that enables advanced analytics, AI-driven innovation, operational excellence, and business growth across Employee Benefits products.
You will lead a high-performing team of data architects responsible for establishing scalable, secure, and resilient data platforms, integration frameworks, and enterprise information management capabilities. Partnering closely with leaders across Actuarial, Data Science, Data Engineering, Technology, and business organizations, you will drive data architecture strategies that support real-time data ingestion, trusted data curation, data products, AI-enabled solutions, and critical business decision-making.
As a key leader within EDS, you will champion the adoption of modern cloud-based architectures, event-driven data platforms, data governance frameworks, and enterprise data standards. You will collaborate across organizational boundaries to ensure data assets are discoverable, interoperable, and aligned with business and technology objectives while enabling scalability, agility, and regulatory compliance.
This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).
Primary Job Responsibilities
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Strategy and Execution: Lead the strategy and execution of complex and large Data and Analytics portfolio.
- Data Modernization: Develop and implement a strategic roadmap to modernize legacy data and analytics ecosystems using Cloud and AI. Solve for data complexity by enabling data domains and data products for all consumption architypes and stakeholders including reporting, data science, AI/ML and analytics.
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Architecture and Solution: Ensure data architecture and solutions align with enterprise-wide standards for Data, AI and Analytics.
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Effectively communicate strategy, execution progress, and outcomes to diverse stakeholders and promote data capabilities through thought leadership and presentations.
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AI Data Engineering leader responsible for Implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions.
- Real-Time Data Streaming: Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery.
- Drive best practices in AI data engineering by establishing standardized processes, promoting cutting-edge technologies, and ensuring data quality and compliance across the enterprise.
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Data and Analytics Management: Oversee the design, development, and maintenance of lakehouse architectures, data pipelines, data warehouses, data lakes and reporting systems.
- Expertise in data engineering practices, knowledge of AI technologies, and the ability to lead cross-functional teams. Expertise in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, self-serve analytics and AI.
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Leadership: Mentor and lead a high-performing team including Directors, Business data analysts, Data engineers and Release train engineers. Of Data Architects
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Drive efficiency and Productivity: Identify and champion developer productivity improvements across the end-to-end data management lifecycle. This includes researching and implementing innovative solutions such as AI-driven auto-generation of data pipelines, advanced DevOps practices for data and automated data quality frameworks.
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Technology Evaluation & Adoption: Stay current with emerging trends in data engineering and AI/ML, design prototypes and conduct experiments, and recommend innovative tools and technologies to enhance data capabilities enabling business strategy.
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Data Governance, Stewardship and Quality: Support robust data management frameworks to ensure successful adoption of Enterprise Data Governance and Data Quality practices.
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Develop deep partnerships and alignment with the portfolio and agile value stream frameworks. Experience with Agile at Scale and iterative development through cross-functional teams.
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Partners with Technology, Data, AI Platform, EB Ops and Architecture teams to influence technology, data, platform and tooling strategy.
Qualifications
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$140,000 - $210,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
