<p>Innovation starts from the heart. Our Advanced Innovation & Technology (AI&T) teams harness the imagination, courage, and resourcefulness to think beyond what’s currently possible, and create solutions for patients many years into the future. If you’re an early-stage innovator, then Edwards AI&T team is the place for you to take the next steps in your career. We’ll give you the tools and resources you need to create groundbreaking innovations that shape the future of structural heart technology.</p><p></p><p>This role sits at the center of business strategy, data product management, and technical delivery. You’ll function as the data product lead for assigned business domains, owning the end-to-end lifecycle of enterprise data and analytics products. That includes problem framing, requirements definition, delivery partnership, adoption, and value realization.</p><p></p><p>This is a hands-on senior role for someone who enjoys working across business and technology, thrives in ambiguity, and wants real ownership. You’ll influence outcomes through expertise, judgment, and cross functional leadership rather than direct people management.</p><p>If you think like a Business Systems Analyst, design like an architect, and operate with a product mindset, this role was built for you.</p><p></p><p><b>How you’ll make an impact:</b></p><ul><li><p>Serve as the primary subject matter expert for data, analytics, and integration needs across assigned business domains, translating business requirements into repeatable, executable design patterns and system qualities.</p></li><li><p>Own the data product vision and functional roadmap for your domain, aligned to business priorities and Edwards’ enterprise data and AI strategy.</p></li><li><p>Lead end‑to‑end techno‑functional requirements definition, including business outcomes, success metrics, data logic, data quality expectations, and non‑functional requirements.</p></li><li><p>Partner closely with Data Product Managers, Architects, and Engineering teams to identify integration opportunities, select appropriate tools, and define shared data, interfaces, and data flows.</p></li><li><p>Provide architectural and design oversight through planning, execution, and operations to ensure alignment with enterprise standards and successful implementation.</p></li><li><p>Breakdown complex initiatives into clear, prioritized epics and user stories that meet definition‑of‑ready standards.</p></li><li><p>Function as the functional authority during delivery, supporting testing and UAT, resolving ambiguity, and validating outcomes against business intent.</p></li><li><p>Shape logical data models, domain data products, semantic definitions, and metadata in collaboration with architecture and engineering partners.</p></li><li><p>Contribute to the evolution of enterprise design methodologies, technology standards, and best practices, driving reuse and consistency across EDAIx.</p></li><li><p>Evaluate emerging technologies for potential integration and advocate for new tools, standards, and approaches when they deliver clear value.</p></li><li><p>Drive adoption and value realization through rollout support, usage metrics, and continuous improvement initiatives.</p></li><li><p>Provide expert guidance on tactical initiatives and mentor junior techno‑functional team members through coaching, training, and knowledge transfer.</p></li></ul><p></p><p><b>A Day in the Life:</b></p><p>No two days look the same, but a typical day may include:</p><ul><li><p>Partnering with business leaders to clarify problems and shape them into well‑defined data products or integration opportunities.</p></li><li><p>Translating business objectives into success metrics, system qualities, data requirements, and acceptance criteria that engineering teams can execute.</p></li><li><p>Whiteboarding data flows, integrations, interfaces, and domain models with architects and analytics engineers.</p></li><li><p>Refining stories with delivery teams to ensure architectural alignment and eliminate ambiguity before work begins.</p></li><li><p>Reviewing data outputs, dashboards, pipelines, or models during testing to ensure they represent true business meaning, not just technical correctness.</p></li><li><p>Providing architectural guidance across active initiatives to ensure consistency, reuse, and compliance with enterprise standards.</p></li><li><p>Collaborating with other Data Product Managers and Architects to drive cross‑domain alignment and shared patterns.</p></li><li><p>Monitoring industry and technology trends to identify opportunities to improve how data and analytics are delivered.</p></li><li><p>Proactively assessing the roadmap to identify risks, dependencies, and opportunities to strengthen design and integration approaches.</p></li></ul><p></p><p><b>What Makes This Role Different</b></p><ul><li><p>Work on enterprise‑scale data products supporting critical business processes in a highly regulated, high‑impact industry.</p></li><li><p>Have meaningful ownership (not just influence) over what gets built and why.</p></li><li><p>Operate within a modern data ecosystem spanning cloud platforms, analytics engineering, and emerging AI use cases.</p></li><li><p>Help define how data products are built at Edwards, not simply deliver within an existing framework.</p></li></ul><p></p><p><b>What you’ll need (Required)</b></p><ul><li><p>Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, plus 10 years of experience in IT or a related discipline.</p></li><li><p>Professional certifications in relevant disciplines and architecture frameworks (e.g., TOGAF, COBIT, ITIL, OCP, CDMP).</p></li><li><p>Proven ability to translate complex business needs into clear, executable data solutions.</p></li><li><p>Strong understanding of data platforms, analytics architectures, and BI patterns.</p></li><li><p>Advanced SQL skills for data exploration, validation, and problem solving.</p></li></ul><p></p><p></p><p><b>What else we look for (Preferred)</b></p><ul><li><p>Experience with modern cloud data platforms such as Snowflake, Databricks, AWS, and Power BI.</p></li><li><p>Experience operating independently on high‑impact, ambiguous initiatives</p></li><li><p>Strong communication skills with both technical and business audiences</p></li><li><p>Experience in product‑oriented data teams or data‑as‑a‑product operating models.</p></li><li><p>Familiarity with data modeling, semantic layers, and metric definitions supporting self‑service analytics.</p></li><li><p>Exposure to advanced analytics or AI‑enabled use cases.</p></li></ul><p></p><p></p><p>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.<br /><br />For California, the base pay range for this position is $139,000 - $196,000 (highly experienced).<br /><br />The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience).<span> </span>Applications will be accepted while this position is posted on our Careers website.<span> </span></p><p></p><p></p><p></p><p></p><p></p><p>E<span>dwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.</span></p><p></p><p></p><p></p><p><b>COVID Vaccination Requirement</b></p><p><span>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. </span></p>
