Senior Manager - AI & Automation

GLOVIS America, Inc. is a third‑party logistics provider headquartered in Irvine, CA. Since our inception in 2002, we are committed to delivering our customer’s products via truck, rail, or ocean vessel throughout the U.S., Canada, and Mexico. Glovis America makes every effort to exceed standards by providing quality service to our customers and vendors of the automotive, freight forwarding, parts distribution, used car, and fuel industries.

We cater logistics strategies and processes to our customers’ needs by utilizing the latest information systems and advanced technologies.

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.

• 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

$124,000 - $133,000 per year (Subject to Compensation Study Upon Candidate Selection)

• 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
• Pet Insurance
• 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. All benefits pursuant to Company policy

• 3+ years leading AI/ML/Automation or digital transformation initiatives (Required)
• Experience in logistics, supply chain, automotive, or manufacturing industry (Preferred)
• Understanding of MLOps, containerization, and microservices architecture (Preferred)
• Strong communication and stakeholder management skills (Required)
• Proven track record of deploying data‑driven solutions into production (Required)

• Bachelors Degree (Required)
  • Degree in Computer Science, Engineering, Data Science, or Related Field (Required)
• Master's Degree (Preferred)
• 10+ Years of Direct Experience in Information Technology (Required)
• 8+ Years of IT or Software Development Experience (Required)

• Ability to sit in front of a desk and/or in front of the computer for long periods
• Repetitive use of hand/grasping product, writing, and typing
• Stand/walk
• May lift up to 20 lbs.

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

• Typical office environment with low-level noise exposure
• This position is located in the Irvine, CA office
• Communication with employees and field partners will be primarily conducted via phone and email

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job.