AI and Automation Senior Manager

GlovisIrvine, CA
Onsite

About The Position

The AI and Automation Senior Manager is responsible for driving digital transformation initiatives by identifying, designing, and deploying AI, machine learning, and automation solutions that improve operational efficiency, reduce cost, and strengthen service competitiveness across logistics and business operations. This role provides both strategic direction and hands-on technical leadership to ensure scalable, secure, and high-value automation outcomes.

Requirements

  • 3+ years leading AI/ML/Automation or digital transformation initiatives
  • Strong communication and stakeholder management skills
  • Proven track record of deploying data-driven solutions into production
  • Bachelors Degree
  • Degree in Computer Science, Engineering, Data Science, or Related Field
  • 10+ Years of Direct Experience in Information Technology
  • 8+ Years of IT or Software Development Experience

Nice To Haves

  • Experience in logistics, supply chain, automotive, or manufacturing industry
  • Understanding of MLOps, containerization, and microservices architecture
  • Master's Degree

Responsibilities

  • Establish the roadmap for AI and automation aligned with corporate goals
  • Lead prioritization and execution of transformation initiatives (ML ETA, RPA, Intelligent Ops)
  • Manage project governance, delivery milestones, risk and change management
  • Design, architect, and implement AI/ML models and automation workflows
  • Develop scalable pipelines for data ingestion, training, validation, and deployment
  • Ensure interoperability with legacy enterprise systems
  • Collaborate with business SMEs to define data requirements and improve data integrity
  • Establish metrics and monitoring dashboards to measure automation outcomes
  • Lead a team of Machine Learning Engineers / Automation Developers
  • Develop team capabilities through mentoring, training, and recruitment
  • Serve as a primary advisor to leadership on emerging technologies
  • Manage cloud-based AI services (AWS, Azure) and model lifecycle (MLOps)
  • Foster a culture of innovation, collaboration, and continuous improvement
  • Ensure compliance with security and privacy policies (PII, corporate guidelines)

Benefits

  • Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • Health Care & Dependent Care Flexible Spending Accounts (FSA)
  • Basic Life and AD&D as well as Short-Term & Long-Term Disability
  • Paid Vacation, Holidays, and Sick leave
  • Hospital and Critical Illness Insurance
  • Wellness Program and Gym Reimbursement
  • 401(k) with Generous Matching
  • Referral Bonuses
  • Auto Allowance
  • Quarterly Employee Lunches, Summer Refreshments, and Monthly Team Building Activities
  • Discretionary Bonuses
  • Tuition Reimbursement
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