Director, Data Strategy & Artificial Intelligence, EMEACLA

Director, Data Strategy & Artificial Intelligence, EMEACLA

Edwards Lifesciences Careers

Director, Data Strategy & Artificial Intelligence, EMEACLA

• type Full time
• Location Switzerland, Nyon
• Job reference Req-33739
• Posted for 9 Days

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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