Senior Project Manager – Life Sciences (AI & Digital Transformation)

Job Title: Senior Project Manager

Location: Hyderabad, India (Onsite)

Experience: 12–18+ years

Employment Type: Full-time

Role Overview

We are seeking an experienced Senior Project Manager to lead large-scale AI, Data, and Digital Transformation initiatives for a global Life Sciences client. The ideal candidate will have a strong track record of delivering complex enterprise technology programs while collaborating with business stakeholders, engineering teams, product owners, and external partners.

The role requires exceptional leadership, stakeholder management, program governance, risk management, and execution capabilities within a regulated Life Sciences workplace.

Key Responsibilities

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Lead end-to-end delivery of multiple strategic technology programs from initiation through production deployment.

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Develop and manage project plans, milestones, budgets, resource allocation, and dependencies.

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Coordinate cross-functional teams including Product Management, Architecture, Engineering, Data, AI, QA, Infrastructure, Security, and Operations.

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Drive Agile delivery using Scrum, Kanban, or hybrid methodologies.

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Establish governance frameworks, steering committee updates, executive dashboards, and status reporting.

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Identify, track, and mitigate project risks, issues, and dependencies.

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Manage vendor and partner engagements, ensuring delivery commitments are met.

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Collaborate with business stakeholders to define scope, priorities, and success metrics.

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Ensure compliance with organizational quality standards and Life Sciences regulatory requirements.

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Drive change management, user adoption, and successful business transition.

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Manage project financials, forecasting, utilization, and budget tracking.

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Promote continuous improvement through the delivery of best practices and lessons learned.

Required Qualifications

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Bachelor’s degree in Engineering, Computer Science, Life Sciences, or related discipline.

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12+ years of IT project/program management experience.

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Minimum 5 years managing enterprise programs for Pharmaceutical, Healthcare, or Life Sciences organizations.

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Strong understanding of Software Development Life Cycle (SDLC) and Agile delivery.

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Experience managing AI, Cloud, Data, or Digital Transformation programs.

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Expertise in stakeholder management across business and technology leadership.

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Excellent communication, presentation, and executive reporting skills.

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Experience managing globally distributed teams.

Preferred Experience

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Experience with Generative AI or Agentic AI initiatives.

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Knowledge of Life Sciences business processes including Clinical, Regulatory, Pharmacovigilance, Commercial, Manufacturing, or Medical Affairs.

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Familiarity with GxP, CSV, 21 CFR Part 11, GDPR, HIPAA, and relevant compliance standards.

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Experience working with Azure,



AWS, or Google Cloud environments.

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Exposure to enterprise platforms such as ServiceNow, Salesforce, SAP, Veeva, or Microsoft Power Platform.

Desired Skills

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Program & Portfolio Management

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Risk & Dependency Management

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Executive Stakeholder Management

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Budget & Financial Management

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Vendor Management

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Resource Planning

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Change Management

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AI & Digital Transformation

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Enterprise Delivery Governance

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Excellent communication and negotiation skills

Preferred Certifications

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PMP (Project Management Professional)

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PRINCE2 Practitioner

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PMI-ACP or Certified ScrumMaster (CSM)

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SAFe Agilist (preferred)

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ITIL Foundation (optional)

Success Measures

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On-time and on-budget project delivery

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High stakeholder satisfaction

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Successful adoption of delivered solutions

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Effective risk and dependency management

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Compliance with quality and regulatory standards

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Delivery of measurable business value and operational improvements

Nice to Have

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Experience working with global pharmaceutical organizations such as Novartis, Roche, Pfizer, AstraZeneca, GSK, or similar.

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Exposure to Enterprise AI Platforms, Agentic AI, MLOps/LLMOps, or AI governance.

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Experience leading multi-vendor, multi-geography delivery programs.

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Strong analytical and problem-solving capabilities.

This role is ideal for a delivery leader who can bridge business strategy and technology execution while driving complex transformation programs in the Life Sciences domain.

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