Why This Role Stands Out
This hybrid role offers a fantastic opportunity to lead cutting-edge AI projects, developing your skills in a dynamic environment with a reputable company. You'll thrive here if you're a proactive and influential project manager ready to drive innovative solutions from concept to completion. Apply now to make a significant impact!
Quick Overview
Job Description
Job Title: Senior IT Technical Project Manager - AI
Location: Chicago, IL / Remote
Job Type: Contract
About the Role
We are seeking a Senior IT Technical Project Manager to lead complex, enterprise artificial intelligence (AI) initiatives across a matrixed environment . In this role, you will own integrated planning, execution tracking, dependency management, and delivery governance from concept through production readiness . You will work closely with Data Science, Engineering, Product, QA, and Executive Leadership to drive AI solutions to market using strong influence and technical fluency .
Key Responsibilities
Execution & Planning: Own end-to-end delivery plans, integrated timelines, critical paths, and dependency management across multiple cross-functional teams .
Quality & Readiness: Orchestrate quality gates, test lifecycle integration, UAT, and production readiness reviews (evaluating data, model, security, and Responsible AI standards) .
Governance & Agile Cadence: Facilitate delivery ceremonies, manage RAID logs, run status reviews, and drive continuous improvement of AI delivery standards .
Cross-Team Alignment: Surface capacity constraints, resolve blockers, and route technical decisions to the appropriate functional leaders .
Required Qualifications
7+ years of technical project/program management experience .
2+ years specifically managing AI, Machine Learning, Data Science, or Generative AI initiatives .
Proven track record leading multi-team delivery in a matrixed enterprise without relying on direct authority .
Deep experience with Agile, hybrid delivery frameworks, RAID management, and executive communications .
Strong understanding of the AI lifecycle (data readiness, model evaluation, MLOps, deployment, and monitoring) .
Bachelor''s degree in Computer Science, Engineering, Business, or equivalent experience .
Preferred Qualifications
Experience with GenAI, LLMs, RAG, computer vision, or predictive analytics .
Familiarity with cloud AI platforms, APIs, MLOps/LLMOps pipelines, and security controls .
Certifications: PMP, PMI-ACP, SAFe, or Scrum
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