375810BR
Jul 04, 2024
Spain

Summary

• Develop strategic Data platform capabilities to create DnA product/services roadmaps from concept to development to launch, encompassing DnA platform adoption, product engineering, service design, security and compliance, and business process change. • Demonstrate abstraction of DnA patterns and drive enterprise-wide scalability, reusability, and sustainability of Data platforms/services. • Incubate and adopt emerging DnA technology paradigms and launch technical data products/services faster with rapid prototyping & iterative methods to prove and establish value. For identified Data technologies, launch to enterprise scale, ensuring value is derived. • Focus and align DnA innovation efforts with the Business strategy, IT strategy, and legal/regulatory requirements. • Establish and update strategies, implementation plans, and value cases to implement emerging DnA technologies. • Drive DnA innovation using appropriate people, processes, partners, and tools. • Identify and develop DnA capabilities & ecosystem partnerships aligning with DnA strategy and supporting Enterprise architecture and Integration.

About the Role

Major accountabilities:

• Has end-to-end accountability for services and products that are incubated, established, and delivered across cross-functional business areas spanning analytical, master data and data products.
• Serves as point of escalation, review, and approval for key issues and decisions.
• Take decisions on the resource and capacity plans in line with Business priorities and strategies and close collaboration with delivery teams.
• Decide on continuous improvement within the team.
• Decides on the program timeline, governance, and deployment strategy.

Minimum Requirements:

• University Degree and/or relevant experience and professional qualifications
• Solid understanding of Analytical and technical frameworks for descriptive and prescriptive analytics.
• Strong familiarity with AWS, Databricks, and Snowflake service offerings.
• Awareness of integration patterns across MDM/RDM and transactional systems.
• Production experience delivering data lake projects, including data acquisition, quality, transformation, and publishing.
• Strong exposure to data security and governance policy definitions and enforcement capabilities.
• 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.
• Awareness of Data product change Management and risk mitigation.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

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Operations
CTS
Spain
Barcelona Gran Vía
Full time
Regular
No
A female Novartis scientist wearing a white lab coat and glasses, smiles in front of laboratory equipment.
375810BR

Assoc Dir DD&IT IM Data Products

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