Sinead McDonagh

Director AI & Data Life Sciences Digital Manufacturing

Supporting pharmaceutical companies to embed AI and data-driven intelligence into their manufacturing operations; accelerating performance, reliability and scientific outcomes.

Sinead McDonagh is a senior leader in Life Sciences Digital Manufacturing, bringing over a decade of experience in data analytics, AI‑enabled solution delivery, and IT/OT strategy across global pharmaceutical networks. She specialises in architecting and scaling digital manufacturing ecosystems, with deep expertise in data governance, advanced analytics, and the deployment of intelligent manufacturing solutions that enhance efficiency, resilience, and scientific outcomes.

Her career spans global program management, enterprise data strategy, and operational technology integration ; leading multi‑site initiatives that modernise manufacturing data foundations, accelerate digital adoption, and unlock high‑value use cases such as real‑time scheduling, predictive modelling, and process optimisation. Sinead has delivered data and analytics programs across more than 25–30 manufacturing sites, secured multimillion‑dollar capital programs, and built high‑performing cross‑functional teams that deliver scalable, compliant, and business‑critical solutions.

As AI becomes both essential and frequently misunderstood in modern manufacturing, Sinead brings clarity to what meaningful adoption truly requires. Organisations widely recognise that AI is no longer optional ; the competitive risk of inaction is simply too great. But the real questions are: What does effective AI integration look like in a regulated manufacturing environment? How can companies leverage AI to accelerate growth, reduce cost, and strengthen operational performance—not as a trend, but as a strategic enabler? Which digital and data foundations must be in place to ensure success, and where do the greatest opportunities lie?

How Sinead is shaping the future with confidence

Sinead is shaping the future with confidence by leading large‑scale digital transformation across global Life Sciences manufacturing networks.

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