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PwC brand, Bangalore metro, hot GenAI specialization increases applicant density despite seniority and niche pharma focus.
Pharma R&D regulatory knowledge plus AI project management demands sector-specific expertise.
Explicit 8–12 years, PM and AI experience plus technical (Python, cloud, Claude) requirements enforce strict shortlisting.
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Manage end-to-end AI-driven project execution including planning, deployment, and compliance with pharma standards.
Collaborate closely with leadership, validation representatives, and project teams to ensure alignment and effective delivery.
Maintain documentation, risk mitigation strategies, and provide regular project updates to leadership.
8-12 years total work experience; 6-8 years in project management including 2-3 years in AI/ML projects.
Bachelor’s or Master’s degree in Computer Science, Engineering, Life Sciences, or related field.
Expertise in AI/ML technologies including Python, cloud platforms (AWS, Azure), and Claude.
Strong understanding of pharmaceutical R&D processes and regulatory frameworks.
Experienced in managing AI/ML projects specifically within pharmaceutical or pharma-regulated environments.
Able to bridge technical and business domains, translating AI solutions into operational or business outcomes.
Operates well in cross-functional teams, demonstrating strong leadership and communication skills with stakeholders including senior leadership.