Innovation starts from the heart. At Edwards Lifesciences, we are 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, enabling our global teams to collaborate, operate efficiently, and advance our patient-focused mission.

As part of our IT team, your expertise will help Edwards strengthen trusted, governed, and high-quality master data across the enterprise. We are seeking a Senior Analyst, Data Management to support critical master data domains, including Healthcare Professional and Supplier Master, while helping modernize Edwards Master Data Management capabilities from Informatica IDMC MDM SaaS toward a multi-domain Semarchy MDM platform on Snowflake. This role combines data stewardship, governance, data quality, business analysis, and operational support with direct partnership across global and regional business teams.

How You Will Make An Impact

Participate in the implementation and expansion of Semarchy MDM as a Snowflake-based, multi-domain enterprise Master Data Management platform.
Support the onboarding of new master data domains and contribute to migration planning, business validation, testing, and user adoption as domains transition from Informatica IDMC MDM SaaS to the future-state platform.
Partner with MDM leadership, architects, engineers, data stewards, application teams, and business stakeholders to define scalable master data processes, governance models, stewardship workflows, and platform requirements.
Support Healthcare Professional and Supplier Master domains operating on Informatica IDMC MDM SaaS, including application enhancements, release validation, testing, and production support.
Investigate and resolve master data issues, data quality exceptions, match and merge conflicts, hierarchy requests, workflow issues, and data synchronization problems across upstream and downstream applications.
Engage directly with regional business teams to understand business processes, data challenges, and master data requirements across multiple geographies and time zones.
Elicit, document, validate, and translate business requirements into scalable data management and MDM solutions that business and technical teams can execute.
Define, document, and maintain business rules, data standards, critical data elements, data definitions, stewardship procedures, and data quality controls.
Perform data profiling, analysis, root cause investigation, and remediation activities using SQL, Snowflake, and related data tools.
Develop and monitor data quality metrics, dashboards, and governance scorecards that improve data accuracy, consistency, completeness, and accountability.
Create and maintain process documentation, standard operating procedures, governance artifacts, test evidence, and user guidance.
Identify and implement opportunities to improve business processes, data quality, operational efficiency, and the user experience.

What You Will Need (Required)

Bachelor's Degree in Computer Science, Information Technology, Data Management, Business, Engineering, or a related field and a minimum of 5 years of relevant experience in master data management, data governance, data quality, business analysis, or enterprise data operations.
Practical experience supporting Master Data Management solutions, data stewardship processes, or governed enterprise data domains.
Experience eliciting, documenting, and validating business requirements and translating them into functional data or application requirements.
Experience with data profiling, root cause analysis, issue remediation, business rules, data standards, and data quality controls.
Working proficiency in SQL and experience analyzing data in Snowflake or a comparable cloud data platform.
Strong analytical and problem-solving skills with the ability to investigate complex data issues across connected systems and processes.
Excellent written and verbal communication and interpersonal skills, including the ability to facilitate discussions across business and technical teams.
Ability to work independently under general direction, manage competing priorities, and collaborate effectively across global time zones.
Adhere to all company rules and requirements, including Environmental Health & Safety rules, and take adequate control measures to prevent injuries, protect the environment, and prevent pollution under their span of influence or control.

What Else We Look For (Preferred)

Hands-on experience with Informatica Intelligent Data Management Cloud MDM SaaS, Semarchy MDM, or another enterprise multi-domain MDM platform.
Experience with Healthcare Professional, Supplier, Customer, Product, or other enterprise master data domains.
Experience supporting an MDM modernization or migration program, including business validation, testing, cutover readiness, and user adoption.
Experience with Snowflake-based data solutions and integrations among MDM, source applications, and downstream consumers.
Experience developing data quality dashboards, governance scorecards, stewardship workflows, or operating procedures.
Relevant industry experience in medical device, pharmaceuticals, healthcare, or another regulated environment.

Additional Information

Develops solutions to a variety of complex data management problems and exercises judgment in selecting methods and techniques after considering business, data quality, governance, and technical implications.
Works with general direction focused on end results and may provide guidance to less-experienced team members or data stewards.
Travel may be required up to 5%.

Benefits And Equal Opportunity

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.

Edwards, Edwards Lifesciences, and the stylized E logo are trademarks of Edwards Lifesciences Corporation or its affiliates. All other trademarks are the property of their respective owners.

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Senior Analyst, Data Management, IT