Global Associate Director Data Mgmt, Analytics & DS&AI

Job Description Summary

As a Global Associate Director in the Data Management, Analytics, DS&AI Solutions domain, you will be co-responsible for levelling up the Sandoz Data Maturity to the level to fully enable intelligent automation of the development processes and Advanced AI use cases. Your job would be to understand business requirements, their data and lead the various team to introduce, organize that data for the upgraded data platform and facilitate AI and Analytics ready Data Products.

Job Description

Sandoz continues to go through an exciting and transformative period as a global leader and pioneering provider of sustainable Biosimilar and Generic medicines. As we continue down this new and ambitious path, unique opportunities will present themselves, both professionally and personally. Join us, the future is ours to shape!

Job Summary

As a Global Associate Director in the Data Management, Analytics, DS&AI Solutions domain, you will be co-responsible for levelling up the Sandoz Data Maturity to the level to fully enable intelligent automation of the development processes and Advanced AI use cases. Your job would be to understand business requirements, their data and lead the various team to introduce, organize that data for the upgraded data platform and facilitate AI and Analytics ready Data Products.

Your Key Responsibilities

Your responsibilities include, but are not limited to:

* Plan, design and execute data related initiatives.

* Work strategically and tactically to ensure efficient data-driven decision making in key areas, such as Technical Development, Clinical Development, Regulatory affairs, Patient Safety, Product Lifecycle.

* Lead teams with internal and external collaborators to deliver the best Data Products.

* Support operational and cost efficiency through best practices on Data & Analytics.

* Collaborate to ensure compliance with the GxP, FDA, EMA, internal SOPs and other regulatory frameworks on the Data related topics.

* Establish and maintain good relationship and effective communication with the key stakeholders.

* Contribute to team initiatives and actions to grow and develop each other.

* Consult and assist other teams on delivering Analytics and AI solutions as needed.

* Contribute to culture of collaboration, team-work and accountability with the wellness of our Patients in mind.

Minimum Requirements

What you’ll bring to the role:

Experience:

* Bachelor’s degree in computer science, physics, (financial) mathematics, Information Systems, Engineering, or related field (master’s preferred).

* 6+ years of Data Management, Analytics or Data Science related functions.

* Very good understanding of the role of Data and Analytics in a big organization.

* Understand key ingredients to the best Enterprise Data Management and organizational Data Maturity.

* Deep experience with big data projects and / or platforms.

* Ability to plan, design and deliver data related initiatives.

* Understanding of conceptual, logical, and physical data models. Ability to evaluate different approaches.

* Working with or for mid / large companies in the past.

* Fluent in English.

Why Sandoz?

Generic and Biosimilar medicines are the backbone of the global medicines industry. Sandoz, a leader in this sector, provided more than 900 million patient treatments across 100+ countries in 2024 and while we are proud of this achievement, we have an ambition to do more!

With investments in new development capabilities, production sites, new acquisitions, and partnerships, we have the opportunity to shape the future of Sandoz and help more patients gain access to low-cost, high-quality medicines, sustainably.

Our momentum is powered by an open, collaborative culture driven by our talented and ambitious colleagues, who, in return for applying their skills experience an agile and collegiate environment with impactful, flexible-hybrid careers, where diversity is welcomed and where personal growth is supported!

Join us!

#Sandoz

Skills Desired

Application Lifecycle Management (ALM), Communication Skills, Continuous Integration (Ci), Decision Making Skills, Influencing Skills, Innovation, IT Infrastructures, IT Management, IT Operations, Lean Product Development, Stakeholder Management, System Integration