Innovation starts from the heart. Edwards Lifesciences is the global leader of patient-focused innovations for structural heart disease with millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and

discovering lasting solutions for unmet patient needs. Our Regional Data Strategy and Artificial Intelligence Director position is a unique career opportunity that could be your next step towards an exciting future.

How you will make an impact:

Data Operations:

• Oversee the collection, processing, and storage of data across the organization.

• Implement efficient data workflows and ensure seamless data operations.

• Collaborate with cross-functional teams to optimize data processes.

Data Quality Management:

• Spearhead efforts to maintain high data quality.

• Establish data quality standards and monitor compliance.

• Implement data cleansing and validation procedures.

Driving Business Value through Data Analytics:

• Leverage data analytics to identify insights and drive business outcomes.

• Collaborate with business units to develop data-driven strategies.

• Use data to improve product performance and strengthen the organization’s competitive edge.

Data Governance and Security:

• Develop and enforce data governance policies.

• Ensure compliance with data privacy regulations (e.g., GDPR, CCPA).

• Implement robust data security measures to protect sensitive information.

Strategic Leadership:

• Create a long-term data strategy and execution roadmap

• Align data initiatives and priorities with overall business strategic goals.

• Foster a culture of data-driven decision-making within the organization.

• Articulate the company’s AI strategy, from low-hanging fruit into long term predictive models embedded in the company’s operating processes.

• Develop an educational framework across the enterprise, from basic understanding into scientific knowledge sharing and exchange.

Collaboration and Communication:

• Work closely across functions, regions and BUs

• Communicate effectively with technical and non-technical stakeholders.

• Bridge the gap between technology and business objectives.

What you’ll need (Required):

• Proven track record in data management, analytics, and governance.

• Familiarity with data architecture, modeling, and integration.

• Proven track in advanced natural language processing and machine learning models and techniques

• Proven track record on translating data insights into actionable business strategies.

What else we look for (Preferred):

• Ability to influence and collaborate at the executive level.

• Strong business acumen and strategic thinking.

• Excellent communication and leadership skills.

• Adaptability, problem-solving, and decision-making abilities