IT Manager, Manufacturing Systems

Tris Pharma Inc•South Brunswick, NJ

5d•$120,000 - $155,000•Hybrid

About The Position

Tris Pharma, Inc. is a leading privately-owned US biopharmaceutical company focused on development and commercialization of innovative medicines. We have a position available 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.

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

Responsibilities

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