Product Manager, Agentic AI Solutions

NovartisCambridge, MA
$138,600 - $257,400Hybrid

About The Position

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.

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.

Nice To Haves

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

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.

Benefits

  • health
  • life and disability benefits
  • 401(k) with company contribution and match
  • generous time off package including vacation, personal days, holidays and other leaves
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