Product Manager, Agentic AI Solutions

Job Description Summary

Location: Basel, Switzerland;
#LI-Hybrid 3 days/week in office

Internal job title: Associate Director, Agentic AI Solutions Product Manager

About the Role:
We are seeking a Product Manager Agentic AI Solutions to lead the product strategy, development, and enterprise integration of a portfolio of Agentic AI solutions supporting our Research organization. This role sits at the intersection of product management, AI platform strategy, research informatics, enterprise architecture, and governance, with a strong focus on solutions built on Palantir Foundry and AIP.
The ideal candidate will shape and scale AI products that accelerate scientific workflows, enable trusted human-AI collaboration, and align with enterprise standards for agent interoperability, identity, security, and responsible AI adoption.

 

Job Description

Key Responsibilities:  

• Lead product management for multiple Agentic AI solutions serving the Research organization, from strategy and roadmap through execution, adoption, and lifecycle management.

• Define product vision, value proposition, and success metrics for AI-enabled solutions that improve research productivity, decision support, and operational effectiveness.

• Partner with scientific, digital, data, engineering, platform, and business stakeholders to identify high-value use cases and translate them into scalable product capabilities.

• Own product planning and prioritization for solutions built on Palantir Foundry and AIP, ensuring alignment with research needs and enterprise architecture standards.

• Lead integration efforts between Research Agentic AI products and the Enterprise Agentic Mesh, enabling interoperability, orchestration, and scalable agent-to-agent collaboration.

• Develop the strategy for integrations with other enterprise agents and shared AI services, ensuring cohesive user experiences and reusable patterns across the organization.

• Define and drive the product strategy for Agentic Identity and Security, including trusted access models, authorization approaches, auditability, governance, and risk-aware deployment practices in partnership with security and platform teams.

• Establish frameworks for agent lifecycle management, product governance, release planning, and operational readiness.

• Work closely with engineering and architecture teams to define requirements for APIs, data products, orchestration patterns, observability, and system integration.

• Partner with legal, compliance, privacy, cyber, and risk stakeholders to support responsible and compliant deployment of Agentic AI capabilities; Act as a thought partner to senior leadership on the evolving role of Agentic AI in Research and the broader enterprise.

• Create business cases, product roadmaps, and executive communications that clearly articulate priorities, dependencies, risks, and expected outcomes.

• Monitor product performance, user adoption, and business impact, using insights and feedback loops to continuously improve products and platform strategy.

• Drive cross-functional operating models and ways of working across product, engineering, data, and research stakeholders in a complex enterprise environment.

Essential Requirements:

• Bachelor’s degree required; advanced degree preferred in life sciences, computer science, engineering, data science, business, or a related field.

• 10+ years’ experience in product management, with experience operating at a strategic level across complex, enterprise-scale technology products.

• Strong experience working with AI, machine learning, generative AI, or agentic systems in a product, platform, or transformation capacity.

• Experience with Palantir Foundry and or AIP.

• Strong understanding of enterprise product delivery, platform operating models, and integration strategy.

• Experience leading cross-functional initiatives involving business, technical, architectural, and governance stakeholders, with demonstrated ability to manage multiple products or workstreams simultaneously in a matrixed global organization.

• Familiarity with research and development environments in pharma, biotech, or life sciences.

• Strong communication, stakeholder management, and executive presentation skills.

• Proven ability to translate ambiguous business needs into clear product direction and actionable roadmaps.

Desirable requirements:

• Understanding of identity, access, security, and governance concepts for enterprise AI systems preferred.

​Commitment to Diversity & Inclusion:

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

Why Novartis?
Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network

Accessibility and accommodation:

Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to diversity.inclusion_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

 

Skills Desired

Clinical Data Management, Cross-Functional Team, Data Architecture, Data Governance, Data Management, Data Quality, Data Science, Data Strategy, Drug Development, Master Data, People Management, Waterfall Model