Technology Manager

Stellantis•Hopewell Junction, NY

About The Position

The Technology Manager designs, develops, and maintains advanced automation solutions for warehouse and parts distribution center operations. The role combines hands-on programming, systems integration, analytics, and implementation of technologies such as artificial intelligence, machine learning, and robotic process automation. The Technology Manager also supports daily parts warehouse operations, develops data platforms and dashboards, and troubleshoots issues affecting hardware, networks, services, and quality.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
At least 8 years of experience in a related field.
Proficiency in programming languages such as Java, JavaScript, Python, C, and HTML, and serialized data formats such as JSON and XML.
Experience in systems design, architecting complex system interactions, and building data pipelines.
Demonstrated ability to develop dashboards and perform data querying.
Experience developing database or analytics code.

Nice To Haves

Experience leading application modernization or architecture projects.
Degree in Software Engineering.
Experience managing large-scale software projects in corporate environments.
Experience with capacity planning for technical infrastructure.
Experience developing web services and microservices.
Knowledge of network security, system design, and deployment of virtual machines and containerized applications.
Strong organizational, problem-solving, and influencing skills.
Excellent written and verbal communication and presentation abilities.
Passion for engineering excellence, unit testing, and agile project development.

Responsibilities

Develop and enhance Warehouse Management Systems using SQL, Java, and HTTP programming.
Participate in daily Parts Warehouse operations and ensure automation solutions are integrated seamlessly.
Integrate, develop, and sustain automation systems, including ASRS technologies such as Autostore, Geek Plus, and GreyOrange.
Design and develop dashboard analytics using QlikView and Power BI to support data-driven decisions.
Lead implementation of artificial intelligence, machine learning, and robotic process automation initiatives to optimize warehouse operations.
Write high-quality product or system development code according to best practices and organizational standards.
Participate in or lead design reviews with peers and stakeholders to evaluate and select appropriate technologies.
Review teammates’ code and provide constructive feedback on style, accuracy, testability, and efficiency.
Build platforms or data pipelines that aggregate and process data from multiple sources.
Contribute to or adapt existing documentation and educational content based on product or program updates and user feedback.
Troubleshoot, triage, and resolve product or system issues by analyzing impacts on hardware, network, or service operations and quality.