Top Tech Jobs & Startup Jobs in Chicago, IL

Lead and own end-to-end delivery of enterprise Data & AI programs, define data strategy and architecture (lakehouse/warehouse), drive modernization, governance, data quality, metadata/lineage, and AI adoption. Manage client relationships, account growth, program budgets, delivery teams, and stakeholder communications to ensure on-time, on-budget outcomes.

Own end-to-end architecture, hands-on development, deployment, and production hardening of agentic AI and generative AI solutions for U.S. healthcare payers. Design multi-cloud infrastructure, AI agents, RAG pipelines, integrations, governance, security, and MLOps/LLMOps practices. Embed with clients, translate payer workflows into deployed systems, troubleshoot live environments, and lead distributed engineering support while maintaining direct technical ownership.

Design, build, and operate production-grade, event-driven data pipelines (Kafka/Flink) on GCP to deliver model-ready features. Optimize BigQuery SQL and Parquet performance, develop Python data workloads (Polars/Pandas), deploy ML pipeline components on Kubeflow/Vertex AI with Docker, design event store architectures, and collaborate with ML and platform teams while documenting architecture and standards.

Lead client engagements in insurance data, analytics, and AI: define roadmaps, run discovery sessions, design solutions, manage delivery and teams, develop proposals, and ensure DataOps, cloud (AWS), governance, and best practices across AI and analytics initiatives.

Lead go‑to‑market and close enterprise deals for AI/GenAI healthcare solutions across payers, providers, PBMs, and life sciences. Own revenue targets, shape solutions with architects and product teams, run POCs and demos, craft proposals and pricing, and present ROI/value to CXO stakeholders.

Leads presales solution architecture for complex Life and Annuity insurance and TPA RFI/RFP pursuits. Designs operating models, platform implementations, conversions, integrations, data migration, compliance frameworks, and managed-service solutions. Owns estimation governance, pricing strategy, executive presentations, client discovery, oral presentations, and delivery handoff. Requires deep L&A and TPA operational expertise, major policy administration platform experience, strong estimation and executive communication skills, and knowledge of insurance regulations and privacy requirements.

Leads Neo4j graph database migrations to AWS, including architecture, secure deployment, data integration, performance tuning, query optimization, testing, demonstrations, developer onboarding, UAT, and go-live support. The role requires hands-on expertise with Neo4j, Cypher, AWS infrastructure, ETL tools, graph modeling, benchmarking, and stakeholder communication.

Serves as the senior authority for life and annuity insurance products, pricing, administration, and operations. Partners with actuarial, finance, product, technology, and carrier-client teams to translate product mechanics and pricing assumptions into administration platforms and servicing models. Oversees configuration, testing, migrations, compliance, and financial accuracy while managing client relationships, supporting commercial engagements, and leading a team of product and pricing specialists.

Leads data and analytics transformation strategy for major client programs, defining roadmaps, use cases, architecture direction, and operating models. Advises senior stakeholders, facilitates strategy workshops, aligns programs to KPIs and value frameworks, supports governance and risk management, contributes to proposals and pre-sales, and mentors consulting and analytics teams.

Owns payment integrity quality operations projects from intake through completion, including workflow improvements, system enhancements, testing, validation, reporting, client setup, implementation, documentation, training, and defect resolution. Partners with quality, audit, reporting, technology, configuration, offshore, and end-user teams to improve efficiency, compliance, scalability, data accuracy, and workflow adoption.