Manufacturing IT Leader: AI & Automation

Tris Pharma, Inc; South Brunswick (NJ); Hybrid; USD 120,000 - 155,000; Full time

Benefits offered by this job

Bonus eligible

Medical insurance

Dental insurance

Vision insurance

Rx coverage

401K with match

Life insurance

Paid holidays

Paid time off

Volunteer time off

Job summary

Tris Pharma, Inc. seeks an experienced IT Manager, Manufacturing Systems to drive AI-enabled transformation across manufacturing operations at the Monmouth Junction site in New Jersey.

You will partner with manufacturing, quality, engineering and supply chain to implement data-driven automation, agentic AI and secure, compliant solutions within a regulated environment. The role emphasizes governance, validation, and collaboration with IT, cybersecurity and data teams to ensure secure, scalable

Qualifications

• Bachelor's 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

Responsibilities

• Lead technology-enabled transformation across pharmaceutical manufacturing, packaging, quality, supply chain, engineering, warehouse and plant operations.
• Partner with multiple functions to identify AI/automation opportunities that reduce manual work and improve decision-making.
• Design, validate, and implement AI transformation use cases including agentic AI solutions, knowledge agents, and workflow automation.
• Build and govern an agentic AI platform with data sources, security, and deployment patterns.
• Ensure solutions align with GxP, data integrity, cybersecurity, privacy, and change control requirements.
• Support ERP integrations, warehouse and inventory systems, labeling, serialization, MES and related applications.
• Provide training and support to end users, establishing adoption practices and continuous improvement

Skills

Microsoft AI stack

Power Platform

Azure OpenAI

Copilot Studio

Power Automate

Power BI

ERP systems

Data analytics

Education

Bachelor's degree in IT/CS/Engineering

Tools

Microsoft 365 Copilot

Power Platform

Azure AI services

Dataverse

Microsoft Graph

Job description

Tris Pharma, Inc. seeks an experienced IT Manager, Manufacturing Systems to drive AI-enabled transformation across manufacturing operations at the Monmouth Junction site in New Jersey.

You will partner with manufacturing, quality, engineering and supply chain to implement data-driven automation, agentic AI and secure, compliant solutions within a regulated environment. The role emphasizes governance, validation, and collaboration with IT, cybersecurity and data teams to ensure secure, scalable