Jobs Companies Novartis Technical Product Owner, Data Science & AI Platforms

À propos de ce poste Technical Product Owner, Data Science & AI Platforms chez Novartis

Novartis · Sur site · Barcelona Gran Vía

Salary Range:

€57,900.00 - €107,500.00


 

Job Description Summary

Job Title: Associate Director - Solution Architecture, DDIT US&I
#LI-Hybrid
Location: Barcelona, Spain
Relocation Support: This role is based in Barcelona, Spain. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.

At Novartis, we’re transforming how data and AI shape the future of healthcare. As the Associate Director – DDIT US&I AI Solution Architect (Commercial), you’ll be at the forefront of designing intelligent, scalable solutions that redefine how we engage with healthcare professionals and patients. This role offers a unique opportunity to architect the future of commercial analytics, integrating cutting-edge AI with real-world data to drive personalized, compliant, and impactful experiences across markets. Join us in reimagining medicine through innovation and purpose.


 

Job Description

Key Responsibilities

  • Define reference architecture for commercial data and AI products aligned with enterprise standards
  • Architect integration between data platforms and AI tools for omnichannel engagement and analytics
  • Design scalable, modular solutions supporting multiple markets, brands, and data domains
  • Collaborate with product managers, data scientists, and engineers to guide solution delivery
  • Enable full lifecycle of data and AI within secure, compliant environments
  • Ensure architectural compliance with GxP, data privacy, and consent management standards
  • Recommend modern technologies to enhance personalization, targeting, and performance analytics

 

Essential Requirements

  • Proven ability to lead cross-functional architecture efforts across business, data, and technology teams
  • Strong understanding of security, compliance, and privacy regulations in pharmaceutical commercial settings
  • Experience with commercial pharma data ecosystems such as IQVIA, Veeva, and Symphony
  • Familiarity with customer data platforms, identity resolution, and marketing automation tools
  • Expertise in integrating solutions across Martech, CRM, and omnichannel systems
  • Deep knowledge of AI/ML architectures supporting commercial use cases like recommendation engines and predictive analytics

 

Desirable Requirements

  • Bachelor’s or master’s degree in computer science, engineering, data science, or a related field
  • 10+ years of experience in enterprise or solution architecture, preferably in pharmaceutical commercial functions

 

Commitment to Diversity and Inclusion

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

 


 

Skills Desired

Business Architecture, Change Management, Consulting, Digital Capabilities, Effective use of Technology (Inactive), Enterprise Architecture (EA), Influencing Skills, IT Governance, Solution Architecture, Stakeholder Engagement
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Comment se compare ce salaire pour Product Owner

Ce poste paie $96,064/yren dessous de la fourchette habituelle pour les postes Product Owner.

$94,275 la médiane $138,762 $195,466

Fourchette typique $113,340–$163,975/yr, à partir de 288 annonces Product Owner comparables sur JobsRadar (rémunération annualisée en USD). Voir les aperçus de salaire pour Product Owner →

À propos de Novartis

Novartis is aware of employment scams which make false use of our company name or leader’s names or recruiter’s names to defraud job seekers. Novartis does not make job offers without interview and never asks candidates for money. If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information. Novartis is not responsible for any claims, losses, damages, or expenses resulting from scams.

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