Top Tech Jobs & Startup Jobs in Chicago, IL

Leads regional sales for self-insurance and employee benefits solutions across Washington. Builds broker and benefits consultant partnerships, develops and executes regional sales plans, presents solutions to prospective employers, collaborates with underwriting, account management, and marketing teams, and drives sales growth. Requires a strong broker network, consultative selling expertise, CRM proficiency, and travel of at least 50% within the territory.

Lead enterprise data architecture strategy and implementation across cloud data platforms, integration ecosystems, analytics, AI, and operational systems. Design scalable lakehouse or warehouse architectures, canonical data models, governance frameworks, data products, and secure healthcare data integrations. Partner with engineering, product, analytics, AI, security, and executive stakeholders while mentoring technical teams. The role requires deep expertise in modern data platforms and integration, with healthcare or insurance experience preferred.

Lead sales growth across Ohio by building broker and benefits consultant partnerships, educating prospects on self-insurance and alternative funding, developing regional sales plans, presenting solutions, and exceeding targets. Collaborate with account management, underwriting, and marketing teams to deliver tailored healthcare cost-control solutions. The role requires strong consultative selling, relationship management, data interpretation, negotiation, and frequent travel throughout the territory.

Leads national brokerage partnerships and strategic accounts to expand ParetoHealth’s business. Responsibilities include relationship development, collaborative sales leadership, account retention and expansion, market intelligence, cross-functional coordination, performance reporting, executive business reviews, and team mentoring. The role requires strong healthcare benefits knowledge, executive relationship-building, negotiation, presentation, and revenue-growth experience.

Leads sales growth across Tennessee by developing broker and benefits consultant relationships, educating prospects on self-insurance solutions, creating regional sales plans, presenting tailored healthcare funding strategies, and collaborating with account management, underwriting, and marketing teams. The role requires consultative selling, strong broker networks, target achievement, data-driven decision-making, and travel throughout the territory.

Conduct end-to-end analysis of complex healthcare data, including medical and pharmacy claims. Build and maintain SQL queries and analytical datasets, create visualizations, document methodologies, validate data, and translate findings into actionable business recommendations. Collaborate with analysts, data scientists, underwriters, product teams, account management, and cost-containment stakeholders to operationalize sustainable analytics solutions.

Leads end-to-end applied data science and AI workstreams for predictive underwriting and pricing, including problem framing, feature engineering, model development, validation, deployment, monitoring, and business-impact measurement. Builds explainable, governed, and reusable production models using healthcare and insurance data. Partners with underwriting, business, product, engineering, and legal teams; mentors others; and advances responsible AI, MLOps, model governance, and shared data science practices.

Lead sales growth across Minnesota by building broker and benefits consultant partnerships, educating prospects on self-insurance and alternative funding solutions, executing regional sales plans, and collaborating with account management, underwriting, and marketing teams. The role requires consultative selling, presentations, negotiation, relationship management, data interpretation, and frequent travel throughout the territory.

Designs and operates scalable serverless AWS data pipelines, data models, ETL/ELT workflows, feature stores, and analytics-ready data assets. Partners with AI, Analytics, Product, and Underwriting teams to support reproducible ML training and scoring, MLOps, data quality, monitoring, governance, and production troubleshooting. The role handles sensitive healthcare and financial data, optimizes serverless workloads, supports batch and near-real-time processing, and applies infrastructure-as-code, CI/CD, documentation, and responsible data-use practices.

Develop full-stack solutions using TypeScript and AWS cloud technologies. Responsibilities include building GraphQL APIs, business logic libraries, AWS Lambda functions with CDK, AWS Glue automation, and Angular/Ionic user interfaces. The engineer will also support CI/CD, Git repositories, linting, developer workflows, requirements management, and HIPAA-compliant software development. Collaboration with engineers, management, and business analysts is required.