Connecting Odds
Capgemini

Senior Domain Solution Architect NCE - Pharma Drug Development (Senior Director/VP)

Capgemini
Utrecht, NLPosted Discovered via the company's careers siteMatch locked
internship15+ years exp

Role Purpose

Client facing role owning solution and transformation narrative across Pharma late stage R&D and Drug Development in Capgemini NCE SBU. The role focuses on shaping large-scale R&D and clinical transformation deals, enabling clients to accelerate innovation, reduce development timelines, and improve probability of success; in this bringing together the capabilities from across Capgemini business lines and leveraging latest technologies, incl. Agentic AI

Domain Scope

  • Translational Research
  • Clinical Development (Phases I-III)
  • Clinical Operations, Data Management, Biostatistics
  • R&D platforms, digital lab, AI/ML in R&D
  • Regulatory interactions impacting development

Key Responsibilities

  • Shape and co-own strategic pursuits with Sales and Account teams, acting as the lead domain solution authority
  • Define end-to-end target architectures combining business, technology, and operating model perspectives.
  • Lead client-facing visioning, roadmap, and solution-definition workshops with senior stakeholders.
  • Articulate clear value propositions and business cases linked to measurable outcomes.
  • Lead functional domain squad from different Capgemini business lines in domain scope in NCE LS Domain sales hub
  • Contribute to Capgemini's domain-specific point of view, offers, and go-to-market messaging
  • Partner with global domain industry leads and delivery teams to create reusable solution assets and patterns.

Requirements

•

15+ years of experience in the Life Sciences

industry and/or Life Sciences consulting with focus in domain scope

  • Proven track record in

shaping and supporting large, complex, multi-year transformation deals

  • Strong Life Sciences domain credibility with senior business and IT stakeholders

•

Experience translating business strategy into compelling solution visions and architectures

•

Deep expertise in AI and Agentic AI application

in domain scope

  • Ability to

engage credibly at C-suite and senior executive level

  • Strong understanding of regulated environments and compliance expectations
  • Excellent communication, storytelling, and stakeholder management skills
  • Ability to operate in ambiguous situations and shape solutions where no blueprint exists

Not included in the source posting: about the role, benefits.

Skills

artificial-intelligencegomachine-learning

Who can apply

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