Automation Tech Lead: AI/ML & WMS for Warehousing

Stellantis; New York (NY); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Company vehicle

Tuition reimbursement

Volunteer hours

Paid holidays

401k match

Parental leave

Job summary

Stellantis in New York seeks a Technology Manager to design, develop, and maintain advanced automation solutions for warehouse and parts distribution operations. You will code, integrate systems, and build data pipelines while exploring AI, ML, and RPA to optimize performance.

You will lead dashboards with QlikView and Power BI, review code, mentor peers, and contribute to documentation. This hands-on role requires collaboration across teams and strong problem-solving skills.

Qualifications

• Bachelor’s degree in Computer Science, Engineering or related field.
• 5+ years of experience in a related field.
• Proficiency in programming languages (Java, JavaScript, Python, C, HTML) and serialized data formats (JSON, XML).
• Experience in systems design, data pipelines, and analytics.

Responsibilities

• Develop and enhance Warehouse Management Systems using SQL/Java/HTTP programming.
• Participate in daily operations of Parts Warehouse and integration of automation solutions.
• Lead design reviews and review code for quality, style, and performance.
• Build data pipelines to aggregate and process data from multiple sources.
• Design dashboards and analytics using QlikView and Power BI to enable data-driven decisions.
• Implement AI, ML, and robotic process automation to optimize warehouse operations.

Skills

Java

JavaScript

Python

C

HTML

JSON

XML

Education

Bachelor’s degree in CS/Engineering or related field

Tools

QlikView

Power BI

Job description

Stellantis in New York seeks a Technology Manager to design, develop, and maintain advanced automation solutions for warehouse and parts distribution operations. You will code, integrate systems, and build data pipelines while exploring AI, ML, and RPA to optimize performance.

You will lead dashboards with QlikView and Power BI, review code, mentor peers, and contribute to documentation. This hands-on role requires collaboration across teams and strong problem-solving skills.