Regulatory Data & AI Product Lead (Veeva Vault RIM)

Zealand Pharma

Søborg

Remote

DKK 900,000 - 1,400,000

Full time

5 days ago
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Job summary

Zealand Pharma is seeking an Associate Digital Product Director – Regulatory Data & AI in Søborg, Denmark, to lead the evolution of digital products and data capabilities for Regulatory Affairs and Medical Writing. You will own regulatory data products, APIs, and BI solutions while shaping AI-enabled, data-driven processes across the organization.

You will collaborate with DD&T, Regulatory Affairs, Clinical, Safety, and external partners to drive cross-functional transformation, ensuring data

Qualifications

  • Extensive experience in digital product management, business systems or technology transformation within regulated industries.
  • Solid understanding of Regulatory Affairs and the product development lifecycle, including CTAs/INDs, eCTD, submissions and lifecycle management.
  • Hands-on experience with Veeva Vault RIM and cross-system integrations; familiarity with eTMF or Safety Vaults is advantageous.

Responsibilities

  • Define product vision, prioritize needs and align business, IT, data and external partners around outcomes.
  • Own the regulatory data hierarchy and master data in Veeva Vault RIM as data owner.
  • Connect regulatory data across Veeva RIM, eTMF and Safety Vaults and enable access to platforms and data lakes.

Skills

Digital product management
Regulatory data
Veeva Vault RIM
AI/Generative AI
Data governance

Tools

Veeva Vault RIM
Vault Loader
APIs
Data pipelines

Job description

Zealand Pharma is seeking an Associate Digital Product Director – Regulatory Data & AI in Søborg, Denmark, to lead the evolution of digital products and data capabilities for Regulatory Affairs and Medical Writing. You will own regulatory data products, APIs, and BI solutions while shaping AI-enabled, data-driven processes across the organization.

You will collaborate with DD&T, Regulatory Affairs, Clinical, Safety, and external partners to drive cross-functional transformation, ensuring data

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