IT Technical Project Manager

Lares IT Solutions Inc.
Chicago, IL, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Computer Vision RAID Machine Learning Scrum Methodology Large Language Models Model Validation Generative AI AI Platforms Information Technology
+1 more
Machine Learning Operations

Job description

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^., * 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^.

Requirements

  • 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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