Top Tech Jobs & Startup Jobs in Chicago, IL

Provides Oracle EPM consulting services focused on financial close, consolidation, reporting, and account reconciliation. Analyzes requirements, writes functional specifications, conducts testing, troubleshoots issues, manages project workstreams, and interfaces with client stakeholders. The role supports enterprise software implementations, prepares documentation and consolidated financial statements, delivers presentations, and collaborates with and mentors project team members. Travel of up to 50% may be required.

Leads large-scale Workday and enterprise transformation engagements for commercial clients. Serves as executive advisor, oversees program delivery, governance, budgets, risks, margins, and client satisfaction, and guides geographically dispersed consulting teams. Advises leaders on workforce, finance, supply chain, procurement, operating models, AI, automation, and Workday roadmaps. Develops talent, supports business development, manages strategic relationships, and drives additional consulting opportunities.

Designs, provisions, and operates secure, scalable cloud environments supporting AI, ML, LLM, and data engineering solutions. Builds Infrastructure as Code, DevOps pipelines, containerized and serverless deployments, observability platforms, and compliance guardrails. Reviews infrastructure designs, creates operational documentation, and leads cloud infrastructure decisions on client engagements. Collaborates with architects, engineers, client IT, and security teams across development and production environments.

Leads Oracle EPM Planning consulting engagements from pursuit through delivery, combining client relationship management, project and engagement management, hands-on implementation, data analysis, team leadership, practice development, and coaching. Requires extensive Oracle EPM Cloud implementation experience, functional or technical leadership, successful end-to-end project delivery, industry insight, and willingness to travel up to 50%.

Lead spend management consulting implementations for clients, including configuring procurement, payables, and contract lifecycle solutions. Manage complex technology projects, optimize business processes, guide change management, and align solutions with business goals. Build executive and C-suite client relationships, lead and mentor engagement teams, provide strategic insights, and drive continuous improvement. The role requires full-cycle implementation expertise, strong analytical and leadership skills, client presence, and willingness to travel up to 25% annually.

Leads the strategic oversight, configuration, maintenance, and optimization of Workday Endowments and related Financials modules. Partners with Finance, Accounting, Advancement, Treasury, and IT stakeholders; manages funds, workflows, reporting, integrations, release testing, data governance, and compliance. Provides end-user training and support while driving process improvements, system enhancements, and implementation or support initiatives.

The Associate Kyriba Consultant will lead Kyriba implementations, optimize modules, and advise clients on treasury management best practices. They will develop reports, manage system integrations, and provide training and support.

Plan and scope audit testing, document procedures and evidence, record test results, support audit execution and issue validation, and oversee assurance activities involving audit plans, regulatory remediation, and banking-focused projects.

Drive client impact by owning project workstreams from problem definition to recommendations. Perform quantitative and qualitative analyses, build executive-ready deliverables, facilitate client workshops, mentor junior staff, and support business development using Innosight methodologies and generative AI.

Design and architect AI-powered solutions for higher-education clients, guiding technical feasibility, data pipelines, model orchestration, APIs, observability, and cloud or hybrid deployments. Advise engineering teams, shape reusable patterns, evaluate GenAI/LLM approaches (embeddings, RAG, agents), and mentor junior staff while aligning solutions with client goals and enterprise constraints.