Senior Manager, Enterprise AI

Responsibilities

• Execute the enterprise AI roadmap aligned with IT and business transformation goals
• Translate AI strategy into prioritized, outcome-driven use cases across manufacturing, supply chain, quality, and enterprise functions
• Drive adoption of AI across IT and business workflows with measurable ROI
• Define and implement scalable AI architecture leveraging Azure, Databricks, and enterprise data platforms
• Evaluate and deploy AI tools such as Microsoft Copilot, LLM platforms, and custom AI agents
• Integrate AI solutions with enterprise systems including SAP S/4HANA, Tulip MES, LabVantage LIMS, and Veeva QMS
• Design and deploy AI-driven solutions for: Digital manufacturing optimization (yield, scheduling, deviations), Supply chain planning and forecasting, Quality and compliance automation, IT operations and service management, & Enable agentic workflows ("digital employees") to automate repetitive processes
• Establish AI governance aligned with GxP, data integrity, and regulatory requirements
• Partner with InfoSec, Quality, and Legal to ensure responsible AI practices
• Define guardrails for data usage, model monitoring, and human oversight
• Partner with Engineering, Manufacturing, Quality, Supply Chain, TechOps, and Business teams
• Work closely with Enterprise Architecture, Data, and Integration teams
• Collaborate with external partners and system integrators
• Define KPIs and track adoption, efficiency gains, and cost savings
• Communicate AI outcomes to executive leadership
• Build dashboards and reporting for AI performance and ROI
• Mentor team members and build AI capabilities within IT and business teams
• Drive AI literacy and training programs across the organization
• Support GCC (India) team build-out for AI and data capabilities

Requirements

• Bachelor's or Master's degree in Engineering, Life Sciences, Information Systems, or related field
• 7+ years of experience in enterprise IT, data, or AI/ML roles
• 2+ years leading AI, automation, or data initiatives at scale
• Experience in architecting and deploying enterprise AI agents
• Experience with GenAI/LLMs and enterprise AI platforms
• Strong understanding of enterprise systems (SAP, MES, LIMS, QMS)
• Experience in regulated industries (biotech, pharma, manufacturing) preferred
• Knowledge of cloud platforms (Azure preferred), Databricks, and data architecture
• Strong stakeholder management and communication skills
• Ability to translate AI concepts into business value
• Self-awareness, integrity, authenticity, and a growth/entrepreneurial mindset

$90,000 - $210,000 a year

This is Cellares

Cellares is the first Integrated Development and Manufacturing Organization (IDMO) and takes an Industry 4.0 approach to mass manufacturing the living drugs of the 21st century. The company is both developing and operating integrated technologies for cell therapy manufacturing to accelerate access to life-saving cell therapies. The company's Cell Shuttle integrates all the technologies required for the entire manufacturing process in a flexible and high-throughput platform that delivers true walk-away, end-to-end automation. Cell Shuttles will be deployed in Cellares' Smart Factories around the world to meet total patient demand for cell therapies at global scale. Partnering with Cellares enables academics, biotechs, and pharma companies to accelerate drug development and scale out manufacturing, lower process failure rates, lower manufacturing costs, and meet global patient demand.

The company is headquartered in South San Francisco, California with its commercial-scale IDMO Smart Factory in Bridgewater, New Jersey. The company is backed by world-class investors and has raised over $355 million in financing.

Leveling will be based on overall experience, education, and demonstration of knowledge throughout the interview process.


We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.