Senior Manager - AI & Automation

Glovis•Irvine, CA

20h•$124,000 - $133,000•Onsite

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
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
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.

Nice To Haves

Understanding of MLOps, containerization, and microservices architecture
Master's Degree

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
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
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