Jobs at Zydus Lifesciences

Drives digital transformation initiatives across manufacturing and quality operations, from concept through launch and scale-up. Leads digital projects, proof-of-concepts, platform development, advanced analytics use cases, user adoption, training, partner management, and cross-functional collaboration. Applies Agile Scrum and Design Thinking while managing timelines, budgets, quality, roadmaps, and value realization. Requires strong knowledge of AI, IoT, mobility, computer vision, and digital solutions in pharmaceutical manufacturing.

Leads site HR strategy for a pharmaceutical manufacturing facility, partnering with plant leadership across workforce planning, hiring, talent management, performance, engagement, compliance, rewards, and change management. Ensures HR operations support production, quality, GMP compliance, continuous improvement, audits, and business objectives while coordinating with production, QA, QC, engineering, and corporate HR teams.

Provides administrative and operational support to Sales and Marketing teams, including employee coordination, travel and expense management, tender documentation, procurement, CRM administration, sales reporting, event coordination, inventory, courier management, compliance, and cross-functional stakeholder coordination.

Leads enterprise cloud infrastructure architecture and operations across Azure, AWS, and GCP for AI and GenAI platforms. Owns landing zones, networking, Kubernetes, compute, storage, security, resilience, infrastructure-as-code, observability, incident management, and platform automation. Establishes FinOps practices for allocation, forecasting, optimization, and AI cost controls. Enables GPU infrastructure, model serving, agent runtimes, data platforms, and secure enterprise integrations while governing compliance and mentoring engineering teams.

Develops and optimizes chemical manufacturing processes, including process flow diagrams, mass balances, equipment sizing, scale-up, validation, and process transfer. Designs process equipment for new projects, improves batch times, yields, capacity, energy and solvent usage, and supports troubleshooting. Performs cost calculations, root cause analysis, technology evaluations, effluent reduction initiatives, equipment lifecycle studies, and production problem resolution.