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Product manager, agentic ai solutions

Novartis Farmacéutica
Produktmanager
Inserat online seit: 5 Juni
Beschreibung

Location: Basel, Switzerland • Hybrid 3 days/week in officeInternal job title: Associate Director, Agentic AI Solutions Product ManagerAbout the RoleWe 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.Key ResponsibilitiesLead product management for multiple Agentic AI solutions serving the Research organization, from strategy and roadmap through execution, adoption, and lifecycle managementDefine product vision, value proposition, and success metrics for AI-enabled solutions that improve research productivity, decision support, and operational effectivenessPartner with scientific, digital, data, engineering, platform, and business stakeholders to identify high-value use cases and translate them into scalable product capabilitiesOwn product planning and prioritization for solutions built on Palantir Foundry and AIP, ensuring alignment with research needs and enterprise architecture standardsLead integration efforts between Research Agentic AI products and the Enterprise Agentic Mesh, enabling interoperability, orchestration, and scalable agent-to-agent collaborationDevelop the strategy for integrations with other enterprise agents and shared AI services, ensuring cohesive user experiences and reusable patterns across the organizationDefine 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 teamsEstablish frameworks for agent lifecycle management, product governance, release planning, and operational readinessWork closely with engineering and architecture teams to define requirements for APIs, data products, orchestration patterns, observability, and system integrationPartner with legal, compliance, privacy, cyber, and risk stakeholders to support responsible and compliant deployment of Agentic AI capabilitiesAct as a thought partner to senior leadership on the evolving role of Agentic AI in Research and the broader enterpriseCreate business cases, product roadmaps, and executive communications that clearly articulate priorities, dependencies, risks, and expected outcomesMonitor product performance, user adoption, and business impact, using insights and feedback loops to continuously improve products and platform strategyDrive cross-functional operating models and ways of working across product, engineering, data, and research stakeholders in a complex enterprise environmentEssential RequirementsBachelor’s degree required; advanced degree preferred in life sciences, computer science, engineering, data science, business, or a related field10+ years’ experience in product management, with experience operating at a strategic level across complex, enterprise-scale technology productsStrong experience working with AI, machine learning, generative AI, or agentic systems in a product, platform, or transformation capacityExperience with Palantir Foundry and or AIPStrong understanding of enterprise product delivery, platform operating models, and integration strategyExperience 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 organizationFamiliarity with research and development environments in pharma, biotech, or life sciencesStrong communication, stakeholder management, and executive presentation skillsProven ability to translate ambiguous business needs into clear product direction and actionable roadmapsDesirable RequirementsUnderstanding of identity, access, security, and governance concepts for enterprise AI systems
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