The Hartford - Hartford, CT
posted 2 months ago
We are seeking a highly skilled and experienced Data and Technology leader for the position of Assistant Vice President (AVP) of Data Engineering. This role is pivotal in shaping the future of our data capabilities and will involve leading a team of data engineers to design, build, and maintain scalable data pipelines and infrastructure that support our company's strategic objectives. The ideal candidate will possess a strong background in real-time data streaming, expertise in graph knowledge bases, and familiarity with AI Retrieval-Augmented Generation (RAG) architectures. The AVP of Data Engineering will empower stakeholders with data-driven insights and enable self-serve analytics and AI use cases. In this role, you will lead and manage a team of data engineers, providing technical guidance, mentoring, and career development opportunities. You will collaborate with cross-functional teams, including data science, product development, and IT, to align data engineering initiatives with business goals. Your responsibilities will include developing and implementing strategies for data infrastructure that support real-time data streaming, graph databases, and AI-powered applications. As a thought leader, you will drive positive change and simplification while improving delivery speed. You will also design and implement self-serve data platforms that empower business users to access, analyze, and leverage data without heavy reliance on engineering teams. This includes enabling data democratization by building data marketplaces and supporting AI use cases by collaborating with AI and data science teams to ensure data pipelines and infrastructure meet the demands of AI/ML workflows. Additionally, you will be responsible for ensuring the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. This role requires a hands-on approach to data engineering and architecture, with a focus on automation and scalability.