2000 Associate Manager Technical Innovation jobs in Chicago,IL

Minimum one years of recent professional or academic experience in AI/ML, data science, software engineering, or cloud technologies
Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field
Experience with at least one major cloud AI platform (Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI)
Proficiency in Python or another programming language commonly used in AI/ML
Familiarity with conversational AI frameworks (LLMs, chatbots, virtual assistants, agents) and APIs
Strong analytical skills and attention to detail with the ability to work in a team-based, client-focused environment
Ability to travel as required
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

Workday Platform Lead

Guidehouse Careers

Chicago, IL 60629

Jobot

Chicago, IL 60290

Ace Hardware Corporation

Oak Brook, IL 60523

10+ years of experience in systems integration engineering, with 3+ years in a formal people leadership role managing teams of 10+ FTE developers, including experience managing on/offshore staff augmentation consultants.
5+ years of hands-on experience with enterprise integration and data platform tooling, including Informatica (PowerCenter, DEI), IBM middleware (Sterling, Message Broker, APIC), Azure integration services (ADF, APIM), Hadoop, Databricks. Experience with Informatica, Hadoop and Databricks is required.
5+ years leading modernization initiatives transitioning enterprise environments from batch-processing to Event-Driven Architecture (EDA), with demonstrated emphasis on operational continuity during migration.
5+ years managing production integration systems at high volume, with a strong understanding of supply chain data requirements in a retail context; proficiency with enterprise ITSM tooling, for incident and change management.
Practical understanding of AI/ML as it applies to integration engineering - including AIOps tooling for intelligent monitoring and anomaly detection, integration patterns that support AI/ML data pipelines, and the governed use of AI-assisted development tools (including GitHub Copilot) within an engineering team.
Bachelor's degree in computer science or IS; excellent communication skills to facilitate technical alignment across IT.