Senior Director, AI Enabled Digital Products

At Edwards Lifesciences, the Advanced Innovation & Technology (AI&T) teams harness imagination, courage, and resourcefulness to think beyond what’s currently possible, and create solutions for patients many years into the future.

As part of AI&T, we're building an AI Center of Excellence (COE) focused on applying the power of AI to help patients live longer, healthier lives. As we expand our focus across the structural heart disease journey, AI is creating new opportunities to better understand and improve patient care. Our teams are applying AI to support clinical decision-making, identify patients earlier, develop digital solutions that complement our therapies, and help employees work more efficiently so they can focus on work that matters most. We're building an AI COE that collaborates across our innovation-focused teams throughout our global organization, helping accelerate innovation and build AI capabilities that create lasting impact for patients, clinicians, and employees. Together, we're committed to applying AI responsibly and thoughtfully while keeping patients at the center of everything we do.

This is a rare opportunity to help define how AI is applied across the structural heart disease journey while shaping the next generation of therapies, digital solutions, and patient experiences. We’ll give you the tools and resources you need to create groundbreaking innovations that shape the future of structural heart technology.

How you will make an impact:

• Define intended use and claims for AI-enabled features, and own the related product requirements, roadmap, and lifecycle

• Define the AI-enabled product portfolio strategy and sequence investments across therapy and workflow opportunities

• Build and defend the business case and commercial model for AI-enabled therapy features

• Validate product-market fit with clinicians, customers, therapy leaders, and commercial partners before scaling investment

• Own adoption, product analytics, user feedback, and value realization after launch

• Evaluate ecosystem, licensing, and partnership options when they accelerate differentiated product value

• Partner with Clinical & Evidence AI on procedural-workflow features, owning the workflow as a shipped product while clinical teams own the correctness of the guidance itself

• Define the predetermined change control plan that governs how the product can evolve after clearance

What you'll need (Required):

• Bachelor's Degree in a related field plus 14 years of product management experience, with at least 5 years in a regulated software, medtech, or health-tech environment

• A track record shipping AI-enabled products that achieved real adoption, spanning discovery, roadmap, lifecycle, and commercial model

• Demonstrated ownership of product economics, market adoption, and cross-functional launch outcomes, not only roadmap delivery

• Experience shipping at least one software product under formal design controls (ISO 13485, IEC 62304, or equivalent)

• Direct experience managing an AI/ML product through its full lifecycle, including model versioning, retraining cadence, and performance drift after launch

• Prior product leadership in medtech, health tech, or another FDA-regulated software environment

• Experience partnering with regulatory and quality functions on submission-track products

What else we look for (Preferred):

• Master's Degree or equivalent plus 12 years of product management experience, with at least 5 years in a regulated software, medtech, or health-tech environment

• AI/ML product lifecycle management specifically: intended use definition, model versioning and retraining governance, and post-market performance tracking, distinct from general software product lifecycle work

• Working familiarity with FDA Software as a Medical Device (SaMD) guidance and the predetermined change control plan (PCCP) framework

• Verification and validation (V&V) planning and evidence generation for AI/ML-based products, including test protocol design for a model whose behavior is probabilistic rather than deterministic

• Workflow integration design: embedding an AI feature into an existing clinical or procedural workflow without disrupting it, including human-factors and usability considerations for a physician-facing tool

• Product requirements definition and roadmap ownership for a regulated, evidence-driven product, using tools such as Jira, Aha!, or Productboard

• Product analytics and adoption measurement (Amplitude, Pendo, or equivalent)

• Executive communication, portfolio judgment, and influence across Therapy, R&D, Clinical, Regulatory, Quality, Commercial, and Finance leadership

• Excellent problem-solving, organizational, analytical, and critical-thinking skills, including sound discretion and judgment in decision-making

• Expert understanding of business strategy, competitive landscape, regulatory environment, and clinical data while looking beyond existing methodologies and own discipline to define and resolve complex problems

…