Project Manager with AI

American IT SystemsHouston, TX
Onsite

About The Position

We are seeking an experienced Project Manager with strong AI/ML project delivery expertise to manage and drive end-to-end execution of AI-driven initiatives for Juniper Networks. The ideal candidate should have experience managing cross-functional teams, AI/ML implementations, data-driven projects, and enterprise technology programs. The candidate will work closely with engineering, product, data science, infrastructure, and business stakeholders to ensure successful delivery of AI-based solutions aligned with business objectives.

Requirements

  • 8+ years of Project Management experience in IT/Technology environments.
  • Strong experience managing AI/ML, Data Analytics, or Automation projects.
  • Hands-on experience with Agile/Scrum methodologies.
  • Knowledge of AI/ML lifecycle, Generative AI, NLP, or predictive analytics projects.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Excellent stakeholder management and communication skills.
  • Experience using Jira, Confluence, MS Project, or similar tools.
  • Strong understanding of SDLC and enterprise application delivery.
  • Ability to manage distributed/global teams.

Nice To Haves

  • Experience working with enterprise networking environments.
  • Knowledge of GenAI use cases and AI governance frameworks.
  • Prior experience working with large enterprise clients.

Responsibilities

  • Lead and manage AI/ML and enterprise technology projects from initiation to closure.
  • Coordinate with cross-functional teams including Data Science, Engineering, Cloud, and Product teams.
  • Define project scope, timelines, deliverables, resource planning, and risk management strategies.
  • Manage Agile/Scrum ceremonies including sprint planning, stand-ups, retrospectives, and backlog grooming.
  • Track project progress, dependencies, and stakeholder communication.
  • Drive AI adoption initiatives and ensure alignment with business goals.
  • Work with technical teams on AI/ML model deployment, automation, analytics, and cloud-based AI solutions.
  • Prepare project status reports, dashboards, and executive-level presentations.
  • Identify project risks/issues and implement mitigation plans proactively.
  • Ensure projects are delivered on time, within scope, and within budget.
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