Top Tech Jobs & Startup Jobs in Chicago, IL

The AVP Applied AI leads data science and AI capabilities at The Hartford, managing complex AI portfolios and ensuring delivery of business value through scalable models and AI-driven systems. Responsibilities include overseeing team performance, technical direction, AI governance, and alignment with business outcomes, along with collaboration across departments and continuous improvement initiatives.

As a Senior Data Analyst, you'll analyze operational metrics, develop dashboards, provide insights, lead requirements-gathering sessions, and create presentations for senior leadership.

Perform reserving studies and advise management on reserve decisions; develop monitoring tools and diagnostics; improve data quality; apply R/SQL to enhance processes; collaborate with Claims and Reserving across Financial Lines, Bond, and Credit & Political Risk.

The AI/ML Engineer will design, build, and maintain AI components and data pipelines, support applied AI use cases, and collaborate with teams to enhance AI and data engineering expertise.

The Director, Process Improvement will lead initiatives to enhance efficiency and quality in the DAIO organization through process design and data-driven decision making, while managing a team and collaborating with senior leadership.

The Assistant Director & Associate Actuary analyzes and evaluates actuarial pricing performance and develops state performance metrics. They communicate findings, create analytical tools, and enhance partnerships with various teams to improve organizational capabilities.

Engage agents to drive sales on consolidation quotes, manage opportunities through CRM, and achieve performance expectations. Support sales initiatives as needed.

The role involves full stack development with a focus on AI tools, including building applications, managing cloud infrastructure, and mentoring team members in AI-augmented practices.

The Staff Reliability Engineer will enhance data platform reliability through automation, incident management, and observability in a hybrid work setting.

The Senior Data Engineer will design, develop, and maintain robust data pipelines, collaborate with teams, and enhance data architecture.