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Rachel
Magoon
Director of Product Management
Ann & Robert H. Lurie Children's Hospital of Chicago
Rachel (Foote) Magoon is a product leader specialising in enterprise analytics, data products, and AI-enabled solutions within healthcare. At Ann & Robert H. Lurie Children’s Hospital of Chicago, she leads product strategy and multi-year roadmaps that deliver scalable insights and predictive products to improve decision-making and operational outcomes. With expertise spanning product strategy, data governance, AI, and human-centred design, Rachel leads cross-functional teams across product, engineering, data science, analytics, and clinical operations to turn complex healthcare challenges into measurable digital solutions.
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18 November 2026 12:00 - 12:45
Interactive roundtable discussions
In this networking roundtable session, attendees will have a chance to connect with fellow product peers and learn from each other. Each discussion topic will be led by an expert speaker, who will facilitate and guide the conversation to ensure maximum impact. Discussion topics: 1. Aligning goals: Product managers and internal stakeholder collaboration 2. Business Transformation and continuous improvement 3. Unlocking the full potential of your product lifecycle: Strategies for sustainable growth 4. Cultivating success: Building a mentorship framework for product managers 5. Aligning goals: Product managers and internal stakeholder collaboration
19 November 2026 14:00 - 14:45
Panel | From co-pilot to co-worker: How enterprise teams are actually integrating AI into their product workflows
The conversation about AI in enterprise product teams has moved on from whether to use it to how to integrate it without creating new dependencies, new risks, and new forms of technical debt. This panel brings together product leaders who have gone past the experimentation phase and are now running AI as a core part of how their teams operate. Panelists will cover where AI has genuinely changed how they work, where it has underdelivered, and the governance and process questions that most teams are still figuring out in real time. Expect honest disagreement about what good AI integration actually looks like inside a complex, regulated, or legacy-constrained enterprise environment. Attendee takeaways - Where AI is creating real leverage in enterprise product workflows versus where the hype has outrun the reality - The governance and process guardrails that make AI integration safe in regulated or risk-sensitive environments - How to evaluate AI tooling for enterprise product teams when every vendor is making the same claims - What changes about team structure and skill requirements when AI becomes a core part of how the product org operates