Novartis

Global Drug Development

Director,DataScience&AgenticAI

Dublin, Ireland FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“Director, Data Science & Agentic AI at Novartis. Skills: Agentic AI, LLMs, RAG, Machine learning, Deep learning, NLP, GenAI. Lead agentic AI initiatives. Develop and execute a roadmap for agentic AI systems”

What You'll Achieve.

Reduce time to insight and time to patient across global development programs; Accelerate drug development timelines and time-to-patient; Agentic system deployment rate and measurable business impact per vertical; Agent reliability and task-completion metrics vs. baseline; Governance and compliance endorsement at program tollgates; Successful implementation against enterprise data and AI program objectives

Industry & Context.

Global Drug Development
Problems you'll solve

Translate business problems into agentic AI solutions; High-priority analytical and AI challenges

What They're Looking For.

Must Have

10+ years of production AI/ML experience, Advanced degree in related field, Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, or equivalent)

Nice to Have

EU AI Act awareness

What You'll Do.

Lead agentic AI initiatives

Develop and execute a roadmap for agentic AI systems

and productionize agentic pipelines

Define agent evaluation frameworks

Design and implement data foundations

Identify and integrate internal/external data sources

Collaborate with globally dispersed stakeholders

and cross-functional teams

Provide agile consulting and guidance on unplanned

high-priority analytical and AI challenges

Publish and present at conferences and academic journals

Coach and develop junior data scientists and AI engineers

How You'll Work.

Team & Collaboration

Collaborate across clinical development, translational research, and regulatory functions; Stakeholder coordination across globally dispersed teams; Collaborate with globally dispersed stakeholders, external partners, and cross-functional teams

Communication Scope

Stakeholder engagement; External visibility through publications and conference presentations

Process & Methodology

Strategically coordinate and prioritize team resources, Proactively manage risks, stakeholder expectations, and competing priorities

Full Job Description

**Band** Level 6 **Job Description Summary** Independently lead agentic AI initiatives within the SPPO Data Science and AI Strategy in Global Drug Development, directly contributing to faster delivery of transformative medicines to patients. Role model a culture of AI-augmented, data-driven decision-making across GDD functions — spanning clinical development, translational research, and regulatory. Deep technical expert with accountability for agentic AI systems that reduce time to insight and time to patient across global development programs. Shape the agentic AI direction for your organizational domain, grounded in the broader GDD strategy set by leadership. Where managing a team: empower, guide, and coach data scientists and AI engineers to deliver at the frontier of applied AI in drug development. **Job Description** **Internal job title:** Director **Position Location** : Hybrid working arrangement, Dublin, Ireland (position can also be based out Barcelona--please search for job REQ-10076880) **#LI-Hybrid** This is a senior AI leader role within Novartis Global Drug Development (GDD), responsible for leading the design, build, and productionization of agentic AI systems — think multi-agent architectures, tool-using LLMs, and autonomous workflow orchestration — to accelerate drug development timelines and time-to-patient. The role sits at the intersection of deep technical expertise (agentic frameworks, RAG, governance, data foundations) and strategic influence, shaping the agentic AI direction for its domain while collaborating across clinical development, translational research, and regulatory functions. Beyond hands-on design and delivery, the position carries accountability for agent evaluation frameworks (reliability, hallucination risk, auditability), agentic governance, stakeholder coordination across globally dispersed teams, and external visibility through publications and conference presentations. Where a team is in scope, the leader is expected to co

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