AI & Data Analytics Associate

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Division Piramal Critical Care Piramal Critical Care (PCC), a business unit of Piramal Pharma, is the fourth-largest producer of inhaled anesthetics and a global player in hospital generics. We are motivated by our vision of commitment to delivering critical care solutions for patients and healthcare providers across the globe while achieving sustainable and profitable growth for all the stakeholders.

PCC maintains a wide presence across the US, Europe, and more than 100 countries across the globe. Its rich product portfolio includes Inhalation Anesthetics such as Sevoflurane, Isoflurane and Halothane as well as Intrathecal Baclofen therapy, for spasticity management.

PCC has a strong manufacturing and process development experience with wholly-owned, state-of-the-art manufacturing facilities in the United States and India, inspected periodically by the US FDA and the UK MHRA and other regulators. The strategic locations of our facilities help us supply high-quality products around the world, timely at optimal costs.

For more details, please visit https://www.piramalcriticalcare.com/global/

Job Title AI & Data Analytics Associate

Job Description

Support senior IT executives and IT leadership in driving AI implementation and adoption across the organization. This role focuses on coordinating and tracking AI projects, preparing project charters, status trackers, and leadership presentations, training end users, building AI-related user manuals and adoption materials, and managing AI licensing. The role also supports data-related requirements for AI use cases. Business: Piramal Critical Care

Department: Information Technology

Location: Kurla

Travel: Medium

Key Stakeholders - Internal: Department/Functional heads, End users, Site head, Site department heads, Corporate IT, IT Head, IT teams, CSV/QEC teams

Key Stakeholders - External: Implementation partners, External consultants

Key Responsibilities

- Support senior IT executives and leadership in driving AI implementation and adoption initiatives across the organization.

- Coordinate and track AI projects—maintaining trackers, action items, timelines, and status reports, and following up with stakeholders on deliverables.