Technical Product Owner, AI/ML

Job description

Innovation starts from the heart. At Edwards Lifesciences, we’re dedicated to developing ground-breaking technologies with a genuine impact on patients’ lives. At the core of this commitment is our investment in cutting-edge information technology. This supports our innovation and collaboration on a global scale, enabling our diverse teams to optimize both efficiency and success. As part of our IT team, your expertise and commitment will help facilitate our patient-focused mission by developing and enhancing technological solutions. We're seeking a Technical Product Owner, AI/ML with a strong software engineering and AI systems background to serve as the primary AI Engineering liaison between business and technical teams. This role translates complex business needs into scalable, secure, high-value AI-enabled solutions while ensuring disciplined execution and measurable outcomes. How you will make an impact: Provide senior technical product leadership across a product capability or portfolio spanning complex technical products and systems (e.g., software platforms and hardware-enabled solutions) Define product vision, operating standards, and governance to enable scalable delivery across products and pods Align senior stakeholders on priorities and partner with engineering and architecture leaders to drive execution Guide prioritization and integration of AI/ML use cases into scalable, production-ready product capabilities Ensure measurable delivery, adoption, and value for data-enabled and intelligent products (e.g., analytics, automation, AI/ML-enabled capabilities) Partner closely with business stakeholders, data scientists, AI engineers, and platform teams to shape product strategy Define product requirements and evaluate value, feasibility, and ROI for AI/ML initiatives Deliver high-quality AI products on time through strong program execution and cross-functional coordination Apply deep technical product thinking and fluency to drive scalable, impactful solutions Act as the primary AI Engineering liaison for multiple business functions Communicate AI capabilities, constraints, and trade-offs clearly to stakeholders Conduct value proposition, feasibility, and ROI assessments Lead requirements gathering workshops with stakeholders Facilitate business process mapping and future-state design Own and manage the product backlog aligned to business objectives Ensure alignment with governance, security, and responsible AI standards across products and platforms Partner with Lead Engineers to ensure technical soundness Develop PRDs, functional and non-functional requirements Contribute to system design and architectural discussions Validate technical designs for scalability, reliability, and maintainability Stay current with AI, cloud, and engineering best practices Demonstrate understanding of distributed systems and AI/ML workflows Drive end-to-end delivery from ideation to launch Create and manage program and project plans Coordinate across engineering, data science, and platform teams Track risks, dependencies, and delivery status Support product adoption and post-launch evaluation What you’ll need (Required): Bachelor’s or Master’s degree in Computer Science or related field with 8 years in software engineering, technical product, or program roles Experience delivering AI, data, or platform-based products. What Else We Look For (Preferred): Deep technical fluency, strong product thinking, and program execution excellence Demonstrate strong software engineering and system design fundamentals Apply understanding of AI/ML workflows, model lifecycle, and deployment considerations Leverage experience with APIs, microservices, and cloud-native architectures Communicate effectively across business and technical domains to drive alignment Experience collaborating with business stakeholders, data scientists, AI engineers, and platform teams to shape strategy, define requirements, evaluate value and ROI, and deliver high-quality AI products on time Experience with AI/ML platforms, MLOps, or generative AI solutions Experience operating within regulated industries Familiarity with Agile, Scrum, or SAFe frameworks What Success Looks Like Strong alignment between AI initiatives and business priorities, resulting in measurable value realization Clear, high-quality, and actionable requirements that enable efficient engineering execution Consistent delivery of scalable, high-impact AI products on committed timelines Trusted partnership across business and technical stakeholders Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families. For California, the base pay range for this position is $121,000 to $171,000 (highly experienced). The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website. E dwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities. COVID Vaccination Requirement Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.