Senior Manager, Product Management, AI Platform

Senior Manager, Product Management, AI Platform (Finance) Company Description

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do  a global leader in robotic-assisted surgery and minimally invasive care, our technologies‑like the da Vinci surgical system and Ion‑have transformed how care is delivered for millions of patients worldwide.

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful‑because every improvement we make has the potential to change a life.

If you're ready to contribute to something bigger than yourself and help transform the future of healthcare, you'll find your purpose here.

We are seeking an experienced AI Product leader to own the product strategy, roadmap, prioritization, and release planning for our enterprise Generative AI platform. The platform provides a secure, scalable environment for building Generative AI solutions using company-confidential data and enterprise systems.

This role will operate at the intersection of business needs, AI platform strategy, and engineering execution. The successful candidate will translate a growing portfolio of feature requests and business requirements into clear platform capabilities and engineering deliverables, establish priorities based on enterprise value, and partner closely with AI Engineering, Data Science, and business-facing teams to deliver a coherent and high-impact AI platform roadmap.

This is an ideal role for a product leader who combines strong enterprise product management skills with sufficient technical depth in Generative AI, data, and agentic technologies to effectively shape requirements and make informed product trade-offs.

• Secure knowledge and unstructured data:
  Upload, process, chunk, index, and interact with company-confidential unstructured content using approved foundation models.
• Enterprise Knowledge Bases:
  Create and access a growing repository of governed knowledge bases for business functions and enterprise users.
• Natural language access to structured data:
  Enable users and AI agents to ask business questions in natural language and access governed Enterprise Data Warehouse data through Text-to-SQL capabilities.
• AI agents and workflow automation:
  Build and deploy agents that automate or augment enterprise business workflows.
• Shared AI services:
  Provide reusable capabilities such as translation and other common AI services.
• Model choice and platform evolution:
  Support approved foundation models and continuously incorporate new AI capabilities as technologies and business needs evolve.

• Product Strategy & Roadmap
  1. Own and evolve the product vision, strategy, and roadmap for the Enterprise AI Platform.
  2. Translate Enterprise AI strategy and business priorities into a coherent set of platform capabilities and product investments.
  3. Continuously assess emerging AI technologies and product patterns and determine where they should influence the platform roadmap.
  4. Balance near‑term business needs with platform scalability, reuse, security, maintainability, and long‑term architectural direction.
• Requirements Translation & Product Definition
  5. Partner with business‑facing Data & Analytics teams, business stakeholders, and technical teams to understand new use cases and capability requests.
  6. Translate business‑level requirements into well‑defined platform capabilities, user stories, acceptance criteria, workflows, and engineering deliverables.
  7. Clarify the problem to be solved, target users, expected business value, data requirements, dependencies, and measures of success before committing engineering capacity.
• Prioritization, Backlog & Release Management
  8. Own the product backlog and establish a transparent framework for evaluating and…