Summary
Location: Basel, Switzerland; 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.
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.
Benefits and Rewards
Benefits include competitive compensation, comprehensive health insurance, pension plan, and access to employee resource networks and wellness programs.
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