Project Manager with AI & Data Science | Long Beach, CA | Hybrid | 12 Months Contract (Locals only)

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
50% Travel

Skills

Agile
Data Governance
Data Science
Machine Learning Operations (ML Ops)
PMP
Roadmaps
Stakeholder Management
Management
Data Management
Artificial Intelligence
Analytics
Robotics
Manufacturing

Job Details

Project Manager - AI/ Data Science.
Location: Long Beach, CA
Hybrid : 2-3 days / week onsite
Duration 9-12 months with possible extensions Need a Project Manager which experience managing AI/Data Science projects Would be responsible to guide and manage the AI roadmap Guide and interact with the CXOs and management team on AI approach/ technology Should have excellent communication skills

Key Focus Areas:

  • Develop and manage the AI Program roadmap aligned with our innovation and sustainability goals.
  • Oversee multiple AI and data science projects, ensuring alignment between technical execution and business outcomes.
  • Partner with R&D, IT, and product teams to embed AI capabilities into our global product ecosystem.
  • Implement AI governance, ethical compliance, and data management frameworks.

Ideal Candidate Profile:

  • 7+ years of experience in program or project management within AI, data science, or digital transformation environments.
  • Strong understanding of the AI/ML lifecycle, data governance, and MLOps practices.
  • Proven ability to manage cross-functional global teams and complex technology programs.
  • Excellent stakeholder management, communication, and leadership skills.
  • Experience in hardware, imaging, or robotics environments is a strong plus.
  • PMP, Agile, or similar certifications preferred.

What to Look For:

  • Candidates who have delivered enterprise AI or analytics programs from concept to deployment.
  • Strong ability to bridge business and technical teams translating data insights into strategic outcomes.
  • Track record of managing governance, compliance, and ethical AI processes.
  • Collaborative leadership style, with global and cross-cultural experience.

Notes: Experience in technology-driven, manufacturing, or innovation-focused companies that have AI transformation initiatives underway.

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