Data Solutions Delivery Lead

hace 6 días


Barcelona, Barcelona, España Novartis Farmacéutica A tiempo completo
About the Role

This position will be located at a global pharmaceutical company, Novartis Farmacéutica. The role will require 10% travel as defined by the business (domestic and/or international).

Key Responsibilities
  • Lead the design, development, and deployment of data solutions encompassing technology adoption, security, and compliance, and business process change.
  • Incubate and adopt emerging data technologies, launch and deliver products/services faster with rapid prototyping and iterative methods to prove and establish value.
  • Demonstrate abstraction of data patterns and drive enterprise-wide scalability, reusability, and sustainability of platforms/services.
  • Foster and align data innovation efforts with the business strategy, IT strategy, and legal/regulatory requirements.
  • Establish and update strategies, implementation plans, and value cases to implement emerging technologies.
  • Drive data innovation using appropriate people, processes, partners, and tools.
  • Identify and develop data capabilities and ecosystem partnerships in alignment with digital strategy and in support of enterprise architecture and integration.
Requirements
  • Solid understanding of analytical and technical frameworks for descriptive and prescriptive analytics.
  • Strong familiarity with cloud service offerings, such as AWS, Databricks, and Snowflake.
  • Production experience delivering data lake projects, including data acquisition, quality, transformation, and publishing.
  • Awareness of data product change management and risk mitigation.
  • Monitoring and improving data product service delivery offerings.
  • Strong collaborative interactions with customer-facing business teams.
  • Data product-centric approach to defining solutions.
  • Collaborate with business in gathering requirements, grooming product backlogs, driving delivery, and ongoing data product enhancements.
  • Agile delivery experience managing multiple concurrent delivery cycles.
  • Sound foundation in analytical data life cycle management.


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