Technical Product Owner, AI/ML
Edwards Lifesciences
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 podsAlign senior stakeholders on priorities and partner with engineering and architecture leaders to drive executionGuide prioritization and integration of AI/ML use cases into scalable, production-ready product capabilitiesEnsure 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 strategyDefine product requirements and evaluate value, feasibility, and ROI for AI/ML initiativesDeliver high-quality AI products on time through strong program execution and cross-functional coordinationApply deep technical product thinking and fluency to drive scalable, impactful solutionsAct as the primary AI Engineering liaison for multiple business functionsCommunicate AI capabilities, constraints, and trade-offs clearly to stakeholdersConduct value proposition, feasibility, and ROI assessmentsLead requirements gathering workshops with stakeholdersFacilitate business process mapping and future-state designOwn and manage the product backlog aligned to business objectivesEnsure alignment with governance, security, and responsible AI standards across products and platformsPartner with Lead Engineers to ensure technical soundnessDevelop PRDs, functional and non-functional requirementsContribute to system design and architectural discussionsValidate technical designs for scalability, reliability, and maintainabilityStay current with AI, cloud, and engineering best practicesDemonstrate understanding of distributed systems and AI/ML workflowsDrive end-to-end delivery from ideation to launchCreate and manage program and project plansCoordinate across engineering, data science, and platform teamsTrack risks, dependencies, and delivery statusSupport product adoption and post-launch evaluationWhat 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 rolesExperience delivering AI, data, or platform-based products.What Else We Look For (Preferred):Deep technical fluency, strong product thinking, and program execution excellenceDemonstrate strong software engineering and system design fundamentalsApply understanding of AI/ML workflows, model lifecycle, and deployment considerationsLeverage experience with APIs, microservices, and cloud-native architecturesCommunicate effectively across business and technical domains to drive alignmentExperience 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 timeExperience with AI/ML platforms, MLOps, or generative AI solutionsExperience operating within regulated industriesFamiliarity with Agile, Scrum, or SAFe frameworksWhat Success Looks LikeStrong alignment between AI initiatives and business priorities, resulting in measurable value realizationClear, high-quality, and actionable requirements that enable efficient engineering executionConsistent delivery of scalable, high-impact AI products on committed timelinesTrusted partnership across business and technical stakeholdersAligning 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. Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
Locations
- USA - California – Irvine
Salary
121,000 - 171,000 USD / yearly
Skills Required
- APIsintermediate
- AI/ML platformsintermediate
- Agileintermediate
Required Qualifications
- Facilitate business process mapping and future-state design (experience)
- Own and manage the product backlog aligned to business objectives (experience)
- Ensure alignment with governance, security, and responsible AI standards across products and platforms (experience)
- Partner with Lead Engineers to ensure technical soundness (experience)
- Contribute to system design and architectural discussions (experience)
- Validate technical designs for scalability, reliability, and maintainability (experience)
- Stay current with AI, cloud, and engineering best practices (experience)
- Demonstrate understanding of distributed systems and AI/ML workflows (experience)
- Drive end-to-end delivery from ideation to launch (experience)
- Create and manage program and project plans (experience)
- Coordinate across engineering, data science, and platform teams (experience)
- Track risks, dependencies, and delivery status (experience)
- Support product adoption and post-launch evaluation (experience)
- Bachelor’s or Master’s degree in Computer Science or related field with 8 years in software engineering, technical product, or program roles (experience, 8 years)
- Experience delivering AI, data, or platform-based products. (experience)
- Bachelor’s or Master’s degree in Computer Science or related field with 8 years in software engineering, technical product, or program roles (experience, 8 years)
- Experience delivering AI, data, or platform-based products. (experience)
Preferred Qualifications
- Deep technical fluency, strong product thinking, and program execution excellence (experience)
- Demonstrate strong software engineering and system design fundamentals (experience)
- Apply understanding of AI/ML workflows, model lifecycle, and deployment considerations (experience)
- Leverage experience with APIs, microservices, and cloud-native architectures (experience)
- Communicate effectively across business and technical domains to drive alignment (experience)
- 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)
- Experience with AI/ML platforms, MLOps, or generative AI solutions (experience)
- Experience operating within regulated industries (experience)
- Familiarity with Agile, Scrum, or SAFe frameworks (experience)
- Deep technical fluency, strong product thinking, and program execution excellence (experience)
- Demonstrate strong software engineering and system design fundamentals (experience)
- Apply understanding of AI/ML workflows, model lifecycle, and deployment considerations (experience)
- Leverage experience with APIs, microservices, and cloud-native architectures (experience)
- Communicate effectively across business and technical domains to drive alignment (experience)
- 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)
- Experience with AI/ML platforms, MLOps, or generative AI solutions (experience)
- Experience operating within regulated industries (experience)
- Familiarity with Agile, Scrum, or SAFe frameworks (experience)
Responsibilities
- 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
- 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
Tags & Categories
Answer 10 quick questions to check your fit for Technical Product Owner, AI/ML @ Edwards Lifesciences.
10 Questions
~2 Minutes
Instant Score