Top Tech Jobs & Startup Jobs in Chicago, IL

Leads enterprise Data, AI, and digital transformation solution architecture and client pursuits. Designs scalable cloud, data, analytics, AI/ML, GenAI, and Agentic AI architectures; leads workshops, RFP responses, executive presentations, commercial closure, account expansion, and transition into delivery. Partners with engineering and delivery teams, mentors architects, and develops transformation roadmaps, business cases, accelerators, and industry thought leadership, particularly for Insurance and Financial Services clients.

Build, deploy, and support secure, scalable full-stack healthcare payment applications. Own front-end, service, backend, analytics, data pipelines, CI/CD, cloud deployment, observability, performance optimization, production incidents, and compliance. Collaborate with product, data, DevOps, QA, business, and client teams to deliver reliable features and platforms across hybrid cloud and on-premise environments.

Develop, deploy, test, and support secure enterprise web applications and healthcare reporting solutions. Responsibilities include full-stack design and development, production issue resolution, SQL and report performance tuning, SSRS and SSIS integration, architecture, testing, deployment, data governance, security, and collaboration with business and technical teams. The role also contributes to scalable solution design, project delivery, mentoring, and understanding payer and provider healthcare analytics.

Own end-to-end analytics delivery for a client POD, translating business priorities into workplans, coordinating cross-functional teams, governing delivery and revenue KPIs, and managing risks through resolution. Perform hands-on data profiling, validation, reconciliation, exploratory analysis, automation, and quality reviews using SQL, Python, Databricks, and Excel. Create executive-ready KPI, revenue, and business-impact narratives, prioritize initiatives, support business cases, and identify opportunities for analytics automation and AI-enabled improvements.

Leads account management for insurance and digital services, overseeing client relationships, product delivery, team performance, and client satisfaction. Develops growth strategies, identifies new business opportunities, implements account management processes, and aligns internal teams with client needs. Monitors market trends, uses analytics for decision-making, mentors account managers, and represents the company at industry events.

Leads the account management function for insurance solutions by managing account managers, developing retention and growth strategies, nurturing key client relationships, coordinating tailored solutions with consulting teams, monitoring client feedback, ensuring service quality, conducting performance reviews, generating new business, and representing the company at industry events and client meetings.

Leads insurance-focused data and AI consulting engagements, advising senior stakeholders on transformation roadmaps, operating models, and scalable solutions. Owns client discovery, proposals, RFP responses, solution design, project delivery, team management, and growth opportunities. Provides technical guidance across analytics, AI, automation, DataOps, cloud platforms, governance, and data architecture while driving process improvement, innovation, and knowledge development.

Design, deploy, and maintain scalable AWS data and document-processing pipelines and production ML platforms. Build containerized workloads, automate infrastructure with Python and infrastructure-as-code, implement CI/CD, and manage security, networking, databases, monitoring, and observability. Operate GPU and CPU workloads, integrate generative AI and ML inference, resolve production incidents, optimize cost and performance, and collaborate with application, DevOps, data, infrastructure, and client teams.

Analyze and connect complex datasets to generate actionable business insights and improve data products. Gather and manage requirements, document processes, define acceptance criteria, support testing, and collaborate with engineering and data teams. Serve as a data subject matter expert while advancing data quality, stewardship, lineage, metadata management, and stakeholder alignment across digital, direct-to-consumer, sports, fan, and business use cases.

Performs advanced physical and remote insurance premium audits for business clients. Reviews business records, interviews owners and managers, investigates exposures, documents findings, prepares written audit reports, schedules assignments, communicates results, and submits completed work for quality review. The auditor must manage deadlines independently, correct returned audits, maintain accurate records, and use Microsoft Office applications. This remote role requires reliable transportation, a valid driver’s license, strong analytical and communication skills, and at least five years of premium insurance auditing experience.