IT Manager, Manufacturing Systems

Tris Pharma, Inc. is a leading privately-owned US biopharmaceutical company focused on development and commercialization of innovative medicines in ADHD, spectrum disorders, anxiety, pain and addiction addressing unmet patient needs. We have over 150 US and International patents and market several branded ADHD products in the US, with additional licensing in US and ex-US markets. Our robust pipeline spans neuroscience and other therapeutic categories, leveraging proprietary science and technology.

About the role

We are seeking an experienced IT Manager, Manufacturing Systems for our Monmouth Junction facility to support on-site manufacturing operations. This role leads technology-enabled transformation across pharmaceutical manufacturing, packaging, quality, supply chain, engineering, warehouse, and plant operations. The incumbent serves as a key IT partner to the manufacturing organization, focusing on applying automation, data, analytics, AI, and agentic AI capabilities to improve operational efficiency, compliance readiness, decision support, and user productivity in a highly regulated environment.

This position helps shape and execute the company’s Artificial Intelligence (AI) transformation roadmap for manufacturing systems by identifying high-value use cases, coordinating business and technical requirements, enabling responsible AI tool adoption, and building scalable agentic AI solutions.

Responsibilities

• Partner with Manufacturing, Packaging, Quality, Engineering, Supply Chain, Warehouse, Finance, and other business functions to identify opportunities where AI, automation, analytics, workflow, and digital tools can reduce manual work, improve decision-making, strengthen compliance controls, and increase operational effectiveness.
• Lead discovery, prioritization, design, and implementation of AI transformation use cases for manufacturing and related business functions, including agentic AI solutions, knowledge agents, workflow automation, digital assistants, exception monitoring, and decision-support capabilities.
• Assist in building an agentic AI platform by defining business use cases, data sources, system integrations, security controls, governance requirements, validation considerations, human-in-the-loop review points, support models, and scalable implementation patterns.
• Support responsible AI adoption in a pharmaceutical manufacturing environment by ensuring solutions align with applicable GxP expectations, data integrity principles, cybersecurity standards, privacy requirements, change control, testing, documentation, and appropriate human oversight.
• Collaborate with IT infrastructure, cybersecurity, data, and application teams to ensure manufacturing systems are secure, resilient, integrated, backed up, monitored, and aligned with overall enterprise architecture and data governance standards.
• Support and improve technology used across manufacturing and plant operations, including Enterprise Resource Planning (ERP) integrations, warehouse and inventory systems, barcode scanning, labeling, serialization, manufacturing execution, quality systems, equipment interfaces, data historians, reporting tools, and other shop-floor or plant applications.
• Build strong relationships with manufacturing leaders and end users by providing responsive support, clear communication, effective training, and practical guidance on system use, process impact, and compliance expectations.
• Lead or support requirements gathering, process mapping, solution design, configuration, testing, user acceptance testing, validation documentation, implementation planning, training, and post-go-live support for AI-enabled and manufacturing system enhancements.
• Establish adoption practices for AI-enabled tools, including user training, prompt and agent usage guidance, knowledge management, feedback loops, performance measures, and continuous improvement of deployed solutions.

Requirements

• Bachelor’s degree in IT, Computer Science, Engineering, Data Science, or related technical field and minimum 7 years of progressive IT experience supporting manufacturing systems, digital transformation, automation, analytics, AI-enabled solutions, ERP, and/or plant technology in a pharmaceutical, biotechnology, medical device, or related regulated manufacturing environment. Equivalent combination of education and experience will also be considered.
• Strong practical understanding and working knowledge of the Microsoft AI and analytics stack, including Microsoft 365 Copilot, Copilot Studio, Power Platform, Power Automate, Power Apps, Power BI, Fabric, Azure AI services, Azure OpenAI, Microsoft Graph, Dataverse, and SharePoint.
• Strong understanding of pharmaceutical manufacturing operations, including current Good Manufacturing Practices (cGMP) expectations, computer system validation, data integrity, audit readiness, change control, testing, and controlled documentation practices.
• Understanding of Microsoft security, governance, and compliance capabilities relevant to AI adoption, including Microsoft Entra ID, Purview, sensitivity labels, data loss prevention, and access controls.
• Ability to design and support Copilot Studio agents, Power Automate workflows, knowledge-based assistants, retrieval-augmented generation solutions, and human-in-the-loop AI processes that are secure, supportable, auditable, and aligned with business and compliance expectations.
• Working knowledge and/or experience with ERP systems.

Schedule

This is a hybrid work environment requiring local candidates to work the majority of the week in our New Jersey office.

Pay

Anticipated salary range: $120,000 to $155,000 per year. Base salary offered is contingent on assessment of candidate’s education and experience level relative to the requirements of the position, as well as a review of related industry standards and internal equity.

Benefits

• Bonus eligibility
• Medical, dental, and vision insurance
• Prescription drug insurance
• 401K with company match
• Life insurance
• Paid company holidays
• Paid time off (PTO)
• Paid volunteer time
• Employee Resource Groups