(Closed)Edwards Lifesciences
Director, Data Strategy & Artificial Intelligence, EMEACLA
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- Nyon, Vaud, Switzerland
- +3
- +4
- Nyon, Vaud, Switzerland
About
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
Nice-to-have skills
- Data Management
- Data Analytics
- Data Modeling
- Machine Learning
Work experience
- Data Engineer
- Machine Learning
- NLP
Languages
- English