Top Tech Jobs & Startup Jobs in Chicago, IL

Lead and support z/OS systems programming in a multi-Sysplex mainframe environment: install/upgrade/tune z/OS and third-party software, troubleshoot complex issues, collaborate with cross-functional teams, participate in DR testing, document configurations, work with vendors, provide 24x7 on-call support, and lead modernization projects.

Owns the strategy, roadmap, backlog, governance, and performance outcomes for AI and API enablement platforms. Partners with engineering, security, risk, audit, compliance, and enterprise stakeholders to deliver secure, reusable capabilities. Drives platform modernization, automation, developer self-service, adoption, and continuous improvement through metrics and OKRs. Communicates roadmap progress and business value to leadership while supporting API management, cloud, AI integration, and enterprise shared-service initiatives.

The PMI Inside Sales Manager role is responsible for leading inside sales activities, though specific duties and qualifications are not provided in the posting. The position offers a comprehensive benefits package, retirement contributions, paid leave, and a stated annual salary range of $124,650 to $152,350.

Defines and delivers scalable AI products, platforms, and capabilities across the enterprise. Establishes product vision, roadmaps, success metrics, and priorities while partnering with Technology, Data, Risk, Security, and business teams. Drives product discovery, agile delivery, adoption, governance, observability, operational effectiveness, and continuous optimization using analytics, OKRs, platform telemetry, and stakeholder feedback.

The Wealth Management Advisor leads investment planning and investment and insurance product delivery for affluent clients. Responsibilities include understanding client goals, constructing goals-based portfolios, providing market and investment strategy guidance, conducting research and due diligence, and delivering tailored investment management and insurance services. The role also requires relationship management, sales, new business development, financial planning, and collaboration across wealth management teams.

Designs, develops, and deploys enterprise Generative AI platforms using LLMs, RAG, agentic architectures, and modern orchestration frameworks. Builds Python microservices and AI workflows across Azure and AWS, while implementing GenAIOps, containerization, infrastructure as code, CI/CD, monitoring, security, governance, and compliance. Partners with engineering, platform, architecture, security, and product teams to deliver scalable, resilient, production-ready AI solutions.

Leads Business Banking market engagement and activation initiatives that increase banker understanding, product adoption, sales execution, and revenue growth. Develops strategic engagement roadmaps, sales-ready messaging, training resources, and repeatable operating models. Partners with Product, Sales, Communications, and Learning & Development teams, influences stakeholders, gathers field feedback, reinforces adoption, and measures business impact through engagement and performance outcomes.

Owns pricing and profitability product strategy, vision, roadmap, and lifecycle. The role analyzes business data, defines OKRs and product outcomes, prioritizes features, and coordinates customer experience, technology, design, agile, risk, and business partners. Responsibilities include product discovery, development, delivery, performance optimization, modernization, customer experience improvement, and alignment of sales and marketing channels.

Leads enterprise data governance standards and reusable accelerators across data products and platforms. Defines architecture, modeling, lineage, quality, access, and compliance guidance; advises delivery teams; establishes governance metrics; and improves adoption, productivity, and regulatory compliance. Collaborates with engineers, architects, analysts, and product owners using platforms such as Snowflake, Databricks, Collibra, and Power Platform. The role requires hands-on technical leadership, project management, stakeholder influence, and expertise in modern data and AI governance.

Leads enterprise architecture and implementation of financial crime, risk, compliance, and regulatory data platforms. Modernizes legacy ecosystems using cloud-native and Databricks-based lakehouse architectures, develops data models, establishes governance and security standards, and partners with business, engineering, analytics, and risk teams. Evaluates emerging technologies, ensures scalable and resilient data services, and mentors technical teams.