IT DEVOPS LEAD (DATA SCIENCE PLATFORM)

Summary Location.
Barcelona (Hybrid / Office) Novartis is unable to offer relocation support for this role.
please only apply if this location is accessible for you.
We are seeking an IT Devops Lead all day-to-day operations, support audit related aspects, manage licenses/vendor relations, operational budget management, ensure compliance, quality and security in all operational aspects of a Data Science platform Engage and lead service level reviews/KPIs review meetings with Business and work with vendors to ensure smooth business operations with proper controls like Disaster recovery/business continuity models.
Engage with global business leaders and leverage the appropriate DDIT teams and Functions to make sure the operational enhancements go smooth with right quality and timelines.
About the Role Major accountabilities.
Collection of operational demands/enhancement requests of the Data Science platform Work with SaaS vendors / cloud providers to ensure availability, performance of the data science platforms.
Constantly update/review application roadmaps, technology modernization, elimination of unused assets.
Conduct service review meetings with business/vendors and ensure SLA/KPI adherence   Ensure required training materials are up to date.
License management, budget management, contract management for various tools/vendors   Escalation management.
Overall quality management, technical security management, User access management.
Audit readiness, support for both internal and external audits.
Ability to support critical / major incidents (major incident management)   Adherence to GxP compliance processes / requirements / documentation.
Management of Quality events, Risks, deviations, periodic reviews    Keep abreast with internal IT systems and documentation requirements, standards (including quality management and IT security), regulatory environments / requirements (if applicable), DDIT Service Portfolio and with industry best practices in leveraging technologies for the business and taking advantage of reusable products, solutions, and services wherever applicable.
Additional specification required for testing.
Develop operational cost estimates and complete financial model (costs, savings, revenue opportunities, investment horizon, etc.)   Perform change impact assessment and formulate a right and compliant approach to development and deployment of changes.
Ensure implemented solutions are according to specifications and fit for purpose.
Keep abreast with internal IT systems and documentation requirements, standards (including quality management and IT security).
Manage cloud financial operations, working experience with SaaS vendors.
Commitment to Diversity & Inclusion.
We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Minimum Requirements.
A minimum of 10 + years of experience in working in the Pharma or IT Industry  A minimum of 8 + years of experience in the Pharma domain.
A minimum of 6+ years of experience as a service operations role   Understanding of managing/supporting Data Science platforms.
Prior working experience in Analytics domain, Cloud management, knowledge on clinical business processes and working with SaaS vendors is preferred.
Data Strategy and data standardization experience an advantage.
Expert understanding of business process analysis & design and system architecture concepts.
Expert understanding of the Clinical Trial B usiness processes, End to End drug development process experience an advantage.
Expert knowledge of G x P, 21CFR Part 11 and the CSV lifecycle    Prior working experience in Clinical Analytics domain and knowledge on business processes is preferred.
Ability to solve complex business process / information challenges.
Proficient skills in global teams, collaboration, facilitation, negotiation, working in a matrix environment and conflict resolution.
Working knowledge of product m anagement, agile methodologies an advantage.
Exposure/working experience in digital innovation projects /operations is an added advantage.