Piramal Critical Care is Hiring AI & Data Analytics Associate | Mumbai | Freshers

Job Description

This Piramal Critical Care opening is worth flagging for a specific reason: it's an "AI" role that's actually a project coordination and change-management position, not a technical AI/ML job — a distinction that matters a lot for how you should approach applying. If you're a fresher expecting to build models or work with Python/data pipelines, this isn't that; instead, it's about driving AI adoption across a pharmaceutical company — tracking projects, training end users, managing licensing, and building documentation. For candidates from a business/IT coordination background rather than a pure technical one, this is a genuinely good entry point into the AI space without needing deep technical skills.

Piramal Critical Care itself is a notable detail worth including — it's a global pharmaceutical manufacturer of inhaled anesthetics, meaning this role sits inside a regulated, FDA/MHRA-inspected environment, which is a different working culture from typical tech-company AI roles. Expect more process rigor, documentation discipline, and stakeholder coordination (the listing names an unusually large stakeholder list — department heads, site heads, corporate IT, and even CSV/QEC quality teams) than you'd find in a fast-moving startup AI role.

The role's real center of gravity is stakeholder coordination and adoption enablement, not technical execution — the responsibilities repeatedly emphasize tracking, documenting, training, and following up rather than building or configuring AI systems independently. For most freshers, the steepest learning curve here won't be understanding AI concepts (a basic grasp of Copilot/Generative AI is explicitly enough) but rather managing multiple stakeholders and driving accountability across teams who report to different departments — a soft-skill challenge that's genuinely difficult for someone in their first job, regardless of technical background.

𝐎𝐮𝐫 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬:

- 𝐆𝐨𝐨𝐝 𝐟𝐨𝐫: Business Administration, IT, or Engineering graduates with strong communication and organizational skills who are interested in AI adoption and change management rather than hands-on technical AI work.

- 𝐍𝐨𝐭 𝐢𝐝𝐞𝐚𝐥 𝐟𝐨𝐫: Candidates specifically seeking AI/ML Engineering or Data Science roles, as this position focuses more on coordination than technical development.

- 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐝𝐢𝐟𝐟𝐢𝐜𝐮𝐥𝐭𝐲: Moderate — the technical bar is relatively low (basic Copilot/GenAI familiarity), but strong stakeholder management and communication skills are important for a fresher-level role.

- 𝐂𝐚𝐫𝐞𝐞𝐫 𝐭𝐫𝐚𝐣𝐞𝐜𝐭𝐨𝐫𝐲: Can lead to roles such as IT Business Analyst, AI Program Manager, or Digital Transformation Specialist.

- 𝐊𝐞𝐲 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞: Provides valuable exposure to enterprise AI implementation and adoption, an increasingly important skill set as more organizations integrate AI tools.

𝐂𝐨𝐦𝐩𝐞𝐧𝐬𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐞𝐱𝐭: Piramal hasn't disclosed pay for this role. IT coordination/business analyst-level roles at large Indian pharmaceutical companies typically range around ₹4–6 LPA for candidates with 0-2 years of experience, based on general market data for comparable roles — this is an estimate only, and the AI-adoption focus of this specific role could position it differently depending on how Piramal is compensating for this newer function.

𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: Since this role is fundamentally about coordination and communication rather than technical AI skill, lead your application with examples of managing multiple stakeholders, tracking deliverables, or driving a project to completion (even a college project or internship) rather than emphasizing technical AI knowledge — the listing's competencies section is unusually explicit about wanting someone who can "manage multiple stakeholders" and "drive follow-ups," which is the real qualifying bar here.

Roles & Responsibilities

The responsibilities cluster into three areas: project tracking (trackers, timelines, status reports), adoption enablement (training end users, building documentation), and operational support (managing AI licensing, supporting data preparation) — meaning this role is less about doing AI work directly and more about making sure AI initiatives actually get adopted and used correctly across the organization.

- 𝐂𝐨𝐨𝐫𝐝𝐢𝐧𝐚𝐭𝐞 𝐚𝐧𝐝 𝐭𝐫𝐚𝐜𝐤 𝐀𝐈 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬, maintaining trackers, timelines, and status reports

- 𝐏𝐫𝐞𝐩𝐚𝐫𝐞 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐜𝐡𝐚𝐫𝐭𝐞𝐫𝐬, presentations, and leadership status updates

- 𝐓𝐫𝐚𝐢𝐧 𝐞𝐧𝐝 𝐮𝐬𝐞𝐫𝐬 𝐨𝐧 𝐀𝐈 𝐭𝐨𝐨𝐥𝐬 and support adoption across business functions

- 𝐁𝐮𝐢𝐥𝐝 𝐚𝐧𝐝 𝐦𝐚𝐢𝐧𝐭𝐚𝐢𝐧 𝐀𝐈-𝐫𝐞𝐥𝐚𝐭𝐞𝐝 𝐮𝐬𝐞𝐫 𝐦𝐚𝐧𝐮𝐚𝐥𝐬 and adoption materials

- 𝐌𝐚𝐧𝐚𝐠𝐞 𝐀𝐈 𝐭𝐨𝐨𝐥 𝐥𝐢𝐜𝐞𝐧𝐬𝐢𝐧𝐠, renewals, and user provisioning

- 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐝𝐚𝐭𝐚 𝐠𝐚𝐭𝐡𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐩𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧 for AI use cases in coordination with IT and business teams

Qualifications & Eligibility

The education requirement is broader than a typical "AI role" might suggest — Business Administration graduates are explicitly as eligible as engineering or CS graduates, reinforcing that this is a coordination-first, not technical-first, position.

- 𝐁𝐚𝐜𝐡𝐞𝐥𝐨𝐫'𝐬 𝐝𝐞𝐠𝐫𝐞𝐞 in Engineering, Computer Science, IT, or Business Administration

- 𝟎–𝟐 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 in IT coordination, project support, or business analyst roles (internships count)

- 𝐆𝐨𝐨𝐝-𝐭𝐨-𝐡𝐚𝐯𝐞: Certification or coursework in AI/Generative AI or data analytics

Skills Required

MS Office and coordination tools form the practical daily toolkit; AI/GenAI knowledge required is explicitly basic, not advanced.

- 𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐨𝐟 𝐌𝐒 𝐎𝐟𝐟𝐢𝐜𝐞 (Excel, PowerPoint, Word), Outlook, and Microsoft Teams

- 𝐁𝐚𝐬𝐢𝐜 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐨𝐟 Microsoft Copilot and Generative AI concepts (hands-on experience preferred but not required)

- 𝐁𝐚𝐬𝐢𝐜 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐨𝐟 𝐝𝐚𝐭𝐚 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐩𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧 𝐜𝐨𝐧𝐜𝐞𝐩𝐭𝐬

- 𝐅𝐚𝐦𝐢𝐥𝐢𝐚𝐫𝐢𝐭𝐲 𝐰𝐢𝐭𝐡 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐭𝐨𝐨𝐥𝐬

- 𝐒𝐭𝐫𝐨𝐧𝐠 𝐰𝐫𝐢𝐭𝐭𝐞𝐧 𝐚𝐧𝐝 𝐯𝐞𝐫𝐛𝐚𝐥 𝐄𝐧𝐠𝐥𝐢𝐬𝐡 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐬𝐤𝐢𝐥𝐥𝐬