IT Manager, Manufacturing Systems

BioSpace; South Brunswick (NJ); Hybrid; USD 120,000 - 155,000; Full time

Benefits offered by this job

Bonus Eligible

Medical Insurance

Dental Insurance

Vision Insurance

401K with Match

Paid Holidays

PTO

Volunteer Time

Job summary

Tris Pharma, Inc. is seeking an experienced IT Manager, Manufacturing Systems to lead technology-driven transformation across manufacturing operations at our Monmouth Junction facility in NJ.

The role focuses on applying automation, data analytics, AI, and agentic AI to improve efficiency, compliance readiness, and decision support in a highly regulated environment. Strong collaboration with manufacturing, quality, and engineering is required.

Qualifications

• Bachelor's degree or higher in IT, CS, Engineering or related field with 7+ years of IT experience in regulated manufacturing environments.
• Experience supporting manufacturing systems, automation, analytics, AI-enabled solutions, ERP or plant tech is required.
• Strong knowledge of cGMP, data integrity, validation, and change control practices.
• Experience with Microsoft AI and analytics stack (Copilot, Power Platform, Power BI, Azure AI).

Responsibilities

• Lead AI-enabled transformation across manufacturing, packaging, quality, supply chain, engineering, and plant operations.
• Partner with functions to identify AI and automation opportunities to reduce manual work and improve decision-making.
• Define and implement an AI platform, data sources, integrations, security, governance and validation considerations.
• Ensure solutions align with GxP, data security, privacy, change control and compliance requirements.
• Provide training and support; drive adoption of AI tools and human-in-the-loop processes.

Skills

AI & Analytics

Manufacturing IT

cGMP

Data Integrity

Validation

Education

Bachelor's degree in IT/CS/Engineering

Tools

Microsoft Copilot

Power Platform

Power BI

Azure OpenAI

Job description

Tris Pharma, Inc. (www.trispharma.com) 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 >150 US and International patents and market several branded ADHD products in the US. We also license our products in the US and ex-US markets. Our robust pipeline of innovative products employing our proprietary science and technology spans neuroscience and other therapeutic categories.

Our science and technology make us unique, but our team members set us apart; they're the engine fueling Tris' passion and innovation. Our colleagues understand the criticality of operating a successful business and take pride in the company's success. Equally important is how we interact on a daily basis. We believe in each other and in respectful, open and honest communication to help support individual and team success.

We have a position available in our Monmouth Junction facility for an experienced IT Manager, Manufacturing Systems to support our on-site manufacturing operations.

This position is responsible for leading 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, with a primary focus 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 manufacturing environment.

She/he 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 helping to build scalable agentic AI solutions.

• Partners 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
• Leads 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
• Assists in the building of 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
• Supports responsible AI adoption in a pharmaceutical manufacturing environment by ensuring solutions are aligned with applicable GxP expectations, data integrity principles, cybersecurity standards, privacy requirements, change control, testing, documentation and appropriate human oversight; Collaborates 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
• Supports and improves technology used across manufacturing and plant operations (i.e., 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, etc.)
• Builds 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
• Leads or supports 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; Establishes 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

• Bachelors degree in IT, Computer Science, Engineering, Data Science or related technical field and minimum 7 years 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 OR a combination of education and experience supporting manufacturing systems, digital transformation, automation, analytics, AI-enabled solutions, ERP and/or plant technology in the above industries REQUIRED
• Strong practical understanding and working knowledge/ability to use Microsoft AI and analytics stack (i.e., Microsoft 365 Copilot, Copilot Studio, Power Platform, Power Automate, Power Apps, Power BI, Fabric, Azure AI services, Azure OpenAI, Microsoft Graph, Dataverse, SharePoint, etc.) REQUIRED
• 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 REQUIRED
• Understanding of Microsoft security, governance, and compliance capabilities relevant to AI adoption, including Microsoft Entra ID, Purview, sensitivity labels, data loss prevention, access controls, etc. REQUIRED
• 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 REQUIRED
• Working knowledge and/or experience with ERP systems REQUIRED

Work Arrangements

We are a HYBRID work environment requiring local candidates to be able to work majority of week in our NJ office.

Anticipated Salary Range

Anticipated salary range: $ 120 to $ 155K/yr. Base salary offered is contingent on assessment of candidate's education and experience level relative to requirements of the position and a review of related industry standards and internal equity.

Additional Benefits

Additional benefits: In addition to base salary, full-time employees are also eligible for incentives, including, but not limited to: bonus eligible, medical, dental, vision, Rx insurance, 401K with match, life insurance, paid Company Holidays, PTO, Paid Volunteer Time and Employee Resource Groups.

Tris Pharma, Inc. offers a highly competitive compensation and benefits package. To build and enhance our diverse workforce, we encourage applications from individuals with disabilities, minorities, veterans, women, LGBTQ, etc. Tris Pharma, Inc. is an Equal Opportunity Employer.