Technical Product Owner, AI/ML

Edwards Lifesciences•Alton, IL

2d•$121,000 - $171,000

About The Position

Edwards Lifesciences is 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. The position involves providing senior technical product leadership, defining product vision and governance, aligning stakeholders, and guiding the integration of AI/ML use cases into production-ready capabilities. The role ensures measurable delivery, adoption, and value for data-enabled and intelligent products, partnering closely with business stakeholders, data scientists, AI engineers, and platform teams to shape product strategy and define requirements. The Technical Product Owner will evaluate the value, feasibility, and ROI for AI/ML initiatives, deliver high-quality AI products on time through strong program execution, and apply deep technical product thinking to drive impactful solutions. This role acts as the primary AI Engineering liaison for multiple business functions, communicating AI capabilities, constraints, and trade-offs clearly to stakeholders. Responsibilities include conducting value proposition, feasibility, and ROI assessments, leading requirements gathering workshops, facilitating business process mapping, owning and managing the product backlog, ensuring alignment with governance, security, and responsible AI standards, partnering with Lead Engineers, developing PRDs and requirements, contributing to system design and architectural discussions, validating technical designs, and staying current with AI, cloud, and engineering best practices. The role also involves driving end-to-end delivery, creating and managing program plans, coordinating across teams, tracking risks and delivery status, and supporting product adoption and post-launch evaluation.

Requirements

Bachelor’s or Master’s degree in Computer Science or related field
8 years in software engineering, technical product, or program roles
Experience delivering AI, data, or platform-based products.

Nice To Haves

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

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