Top Tech Jobs & Startup Jobs in Chicago, IL

Provide system support and user administration for Retail Operations/Sales systems including loan origination software. Troubleshoot UI issues, handle escalation tickets, test defects, assist configuration, participate in UAT and post-production validation, create training materials, and support process improvements using automation and Lean concepts.

Serve as a product and underwriting liaison supporting sales and operations: advise on product selection and loan structuring, answer UW inquiries, provide training and webinars, act as SME for LoanBeam and jumbo products, and help roll out product changes while maintaining strong customer service and process improvement.

Lead enterprise data analysis and governance: elicit requirements, define KPIs, maintain logical data dictionary and data lineage, validate and curate data, design ETL/data integration needs, produce dashboards and actionable insights, drive automation/AI-first improvements and mentor junior team members.

Lead development and enforcement of enterprise data governance policies, frameworks, and tools. Collaborate with data stewards, IT, and business stakeholders to ensure data quality, lineage, metadata management, and regulatory compliance. Run governance committees, deliver training, assess data quality, recommend tools, and report metrics to senior management.

Designs, implements, and maintains DataOps infrastructure and tools to ensure secure, resilient, and performant data pipelines and cloud storage. Automates workflows, monitoring, disaster recovery, and migrations while collaborating with product, DevOps, and infrastructure teams to meet business needs and compliance.

Lead and manage network and systems teams to design, configure, secure, and maintain LAN/WAN, cloud, and telephony environments. Oversee firewalls, SASE/zero trust, monitoring, disaster recovery, audits (SSAE/SOX), large deployments, vendor troubleshooting, and user/network access management.

Design, develop, test, and maintain in-house IBM i applications using RPG, CL, Websmart and DB2. Collaborate with business partners and analysts to translate requirements, troubleshoot production issues, mentor junior staff, lead projects, and drive process improvements.

Lead Data QA for the Enterprise Data Warehouse: define QA strategy, design and execute source-to-target validations, CDC and ETL checks, data masking verification, build quality dashboards and automations, mentor QA analysts, manage defects and release readiness, and collaborate with Data Engineering, BI, Product, and stakeholders to ensure data is accurate, complete, and audit-ready.

Lead enterprise data governance by defining metadata, CDEs, data quality rules, and catalog/lineage. Partner with stewards, owners, IT and business stakeholders to monitor data quality, automate governance workflows, certify reports, and implement governance tooling (e.g., Collibra). Ensure PII handling, document processes, train users, and drive continuous improvement.

Lead the enterprise vulnerability management program: run and tune scanners, triage and prioritize findings using CVSS and threat intelligence, drive remediation with engineering and IT teams, manage exception/risk acceptance processes, produce executive reporting, and improve program maturity and KPIs.