Senior Manager - AI & Automation

GlovisIrvine, CA
1d$124,000 - $133,000Onsite

About The Position

The Senior Manager - AI & Automation position 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
  • Experience in logistics, supply chain, automotive, or manufacturing industry
  • Understanding of MLOps, containerization, and microservices architecture
  • 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

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

Responsibilities

  • Strategy & Leadership
  • 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
  • Technical Execution
  • 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
  • Data Governance & Quality
  • Collaborate with business SMEs to define data requirements and improve data integrity
  • Establish metrics and monitoring dashboards to measure automation outcomes
  • Team Management
  • Lead a team of Machine Learning Engineers / Automation Developers
  • Develop team capabilities through mentoring, training, and recruitment
  • Major Tasks
  • Reduction in manual workload and operational errors through automation
  • Accuracy improvement in predictive analytics (e.g., ETA)
  • Contribution to revenue opportunities via digital capability enhancement
  • Adoption of automation solutions across business units
  • 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)
  • SLA improvements for system performance and user experience

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
  • Benefits may vary by location.
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