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Edwards Lifesciences

Develops transcatheter heart valves and devices

Senior Specialist - AI Product and Delivery

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeValencia, SpainNo salary listed

About the Job

Requirements

  • A Bachelor's degree or equivalent in a related field and at least five years of relevant experience in business analysis, product delivery, data, software, AI or related roles, or a Master's degree or equivalent in a related field and at least three years of relevant experience.
  • A high standard of written and spoken English is required.
  • Demonstrated experience taking solutions from requirements through implementation and established use, with a strong focus on delivery rather than analysis alone.
  • Experience or strong familiarity with large language model tooling, application programming interfaces, AI agents and enterprise AI solutions, with the ability to further develop technical capabilities quickly.
  • Ability to understand and map complex business processes, including undocumented activities, dependencies and cross-functional handoffs.
  • Strong analytical and problem-solving skills, including sound judgment in selecting appropriate methods and techniques to solve complex problems.
  • Ability to translate business requirements into practical technical solutions and clearly communicate technical decisions to non-technical stakeholders.
  • A product-oriented mindset, assessing both how something should be built and whether it should be built, including where it can create meaningful business value.
  • Comfort combining hands-on technical delivery with stakeholder management across technical tasks, business discussions and presentations to senior stakeholders.
  • Ability to work effectively with limited precedent and evolving priorities, establishing processes and ways of working where required.
  • Strong project and delivery management skills, including managing multiple initiatives and competing priorities in a dynamic environment.
  • Ability to collaborate effectively with commercial, medical, IT and other cross-functional teams across different markets and organizational levels.
  • Ability to act as a resource for colleagues with less experience and interact effectively with senior internal and external stakeholders on matters requiring cross-functional coordination.
  • Strong written and verbal communication skills, including the ability to deliver training, demonstrations and presentations to technical and non-technical audiences.
  • Experience with Microsoft tools and applications.
  • Adhere to company rules and requirements, including Environmental Health & Safety requirements, and take appropriate measures to prevent injuries, protect the environment and prevent pollution within one's span of influence or control.

Responsibilities

  • Analyze and map priority business workflows across functions, identifying concentrated effort, handoff delays and opportunities for AI-enabled efficiency and effectiveness.
  • Lead workflow mapping and requirements sessions with commercial, medical and other cross-functional teams to understand current work and potential process redesigns.
  • Translate business needs into clear technical and functional specifications for internal teams or external delivery partners.
  • Assess and prioritize AI opportunities based on business value, feasibility and expected impact.
  • Develop and maintain working knowledge of AI platforms and solutions, making configuration changes, enhancements and fixes directly where appropriate.
  • Build and deploy AI agents and agentic workflows, including connecting relevant data sources where engineering or technical integration is required.
  • Support the data pipelines, cloud services and technical infrastructure that enable regional AI products and solutions.
  • Own and maintain the knowledge and content foundation for AI solutions, identifying authoritative sources, establishing consistent content structures, managing functional access and preparing data for effective use.
  • Partner with IT and regional and global teams to explain AI platforms and architecture, translate technical considerations into business language and support cross-functional alignment.
  • Own testing, validation and acceptance of solutions delivered by external partners, including requirements definition, quality assessment and final sign-off.
  • Support AI solutions through implementation and adoption, helping affected teams embed redesigned workflows in day-to-day business activities.
  • Contribute to organizational AI literacy by delivering training, demonstrations and practical guidance on effective use of AI tools and solutions.
  • Contribute to AI governance standards for solutions developed and deployed within the region, ensuring appropriate documentation, registration and adherence to established requirements.
  • Support the annual planning cycle through analysis, estimates and supporting materials related to AI initiatives and priorities.
  • Represent the team in cross-functional forums and working groups, and contribute to enablement materials, training and demonstrations.

About the Company

Edwards Lifesciences

Develops transcatheter heart valves and devices

Edwards Lifesciences focuses on cardiovascular medical technologies, especially transcatheter heart valves. Its products enable repairing or replacing diseased heart valves through minimally invasive procedures rather than open-heart surgery. The company builds on a long history that began with the Starr-Edwards valve and now centers on valve therapies and related diagnostics to treat heart disease. It differentiates itself by specializing in valve technologies and transcatheter approaches, backed by a track record of clinical leadership and global reach. The goal is to improve patient outcomes by providing safer, less invasive valve treatment options for people around the world.

Company size
10,001+
Company stage
IPO
Headquarters
Irvine, CA
Founded
1958

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