Sr. Operations Manager at Novartis in Hyderabad (Office)
- Company: Novartis
- Location: Hyderabad (Office)
- Posted: Sep 18, 2026
- Type: Full time
- Experience: 7+ years
- Visa sponsorship available
Overview
Novartis’ Biomedical Research Data and Digital Operations group is establishing a strong presence in India, and we are seeking proactive and versatile professional in the role of IT Operations Manager As an “IT Operations Manager” within the BR Data & Digital Operations team, you will be responsible…
Job description
- Novartis’ Biomedical Research Data and Digital Operations group is establishing a strong presence in India, and we are seeking proactive and versatile professional in the role of IT Operations Manager
- As an “IT Operations Manager” within the BR Data & Digital Operations team, you will be responsible for leading and managing complex, globally deployed, high-impact software solutions. This role is accountable for end-to-end software operations, including providing an operational perspective, overseeing user support, maintaining stable and secure systems, and driving continuous improvements in product value and operational excellence.
- You will ensure alignment with enterprise architecture, security, compliance, and governance standards while collaborating closely with external vendors, internal technology partners, and key business stakeholders. The role requires a strong focus on delivering measurable business value quickly and effectively through reliable, scalable, and well-managed digital solutions.
- Job Description
Responsibilities
- Own the end-to-end operational lifecycle of applications, including onboarding, production support, upgrades, enhancements, and decommissioning.
- Ensure application stability, availability, performance, reliability, and operational resilience across global environments.
- Lead incident, problem, and service management activities, driving timely resolution, root cause elimination, and prevention of recurring issues.
- Govern application releases, patches, upgrades, and vendor-driven changes while ensuring operational readiness and minimal business disruption.
- Drive security, vulnerability remediation, compliance, audit readiness, and adherence to enterprise governance standards.
- Manage cross-functional dependencies with infrastructure, platform, integration, backup, and disaster recovery teams to ensure business continuity.
- Define, monitor, and improve service performance through SLAs, KPIs, operational health metrics, and continuous performance reporting.
- Serve as the primary point of accountability for business stakeholders, engineering teams, vendors, and support partners regarding application operations.
- Lead external support providers, ensuring effective governance, service quality, cost optimization, license compliance, and resource efficiency.
- Drive continuous operational excellence through automation, knowledge management, user enablement, process optimization, and service improvement initiatives.
Requirements
- Graduate/ Postgraduate in Technology or Life Sciences with relevant experience in business or operations in a complex environment.
- Bachelor's degree in technology or scientific domain.
- 7+ years relevant subject matter expertise, obtained through experience or education in software development or operations in a complex environment.
- Experience in IT operations or software development in complex business environments
- Highly collaborative, proven experience as a team player. Strong communication skills. Knowledge of Information Technology Service Management (ITSM)
- Familiarity with DevOps tools. Awareness of authentication protocols
- Knowledge of cloud environment and services (AWS - Amazon Web Services, Azure)
- Familiarity with drug discovery research or life sciences
- Algorithms, Computer Programming, Computer Science, Computer Vision, Data Science, People Management, Waterfall Model
Skills
Required
- DevOps tools
- Authentication protocols
- Drug discovery research or life sciences
Preferred
- Algorithms
- Computer Programming
- Computer Science
- Computer Vision
- Data Science
- People Management
- Waterfall Model