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Associate Director Data Solutions Delivery

hace 2 meses

Barcelona, Barcelona, España Cts A tiempo completo

About the Role

This position will be located at a global company, Novartis, which sits at the intersection of cutting-edge medical science and innovative digital technology. As a global company, the resources and opportunities for growth and development are plentiful, including global and local cross-functional careers, a diverse learning suite of thousands of programs, and an in-house marketplace for rotations and project work.

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.
  • Focus 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 AWS, Databricks, and Snowflake service offerings.
  • 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.
  • Solid foundation in analytical data life cycle management.