Senior Manager, Enterprise AI

We are seeking a Senior Manager, Enterprise AI to lead the execution of Cellares’ enterprise AI strategy. This role will operationalize AI across business and manufacturing systems, focusing on real-world impact across GMP systems (MES, ERP, LIMS, QMS), enterprise functions, and digital manufacturing platforms. This is a hands-on individual contributor role at the intersection of AI, enterprise architecture, data platforms, and business transformation. You will work closely with cross-functional teams to deploy scalable, compliant, and high-impact AI solutions. Candidates should enjoy working in a fast-paced, mission-driven environment, and be prepared to tackle a broad selection of challenges as the company grows.

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