Director, Advanced Analytics - Health Data Innovator

Edwards Lifesciences; Alton (TX); On-site; USD 159,000 - 226,000; Full time

Job summary

Edwards Lifesciences in the United States is seeking a Director of Advanced Analytics to lead the evolution of our analytics capabilities and data strategy, delivering insights that drive business decisions across BUs, functions and regions.

The role focuses on building scalable data pipelines, dashboards, and self-serve reporting, guiding cross-functional teams, and shaping data governance and process improvements. A strong background in BI, big data, Python and Power BI is required.

Qualifications

• Bachelor's degree in a scientific, technical, business, or quantitative field with 12 years of related experience, or Master's degree with 10 years of related experience.
• Experience architecting, developing and deploying BI, analytics and reporting solutions for internal and external stakeholders.
• Expertise with Microsoft Office Suite, big data analysis, and analytic tools (e.g., Tableau, Python).
• Experience leading large data projects.

Responsibilities

• Identify and implement innovative analytics tools to raise capabilities.
• Collaborate with BUs, Functions and Regions to design data-driven solutions with financial impact.
• Lead data warehouse design, data pipelines, dashboards, and self-service reporting.
• Guide cross-functional teams, mentor others, and drive process improvements.
• Perform complex data analysis to uncover insights and root causes.

Skills

Data analytics

Stakeholder collaboration

Project management

Communication

Attention to detail

Education

Bachelor's degree or higher in a relevant field

Tools

Tableau

Power BI

Python

Gen AI

Job description

Edwards Lifesciences in the United States is seeking a Director of Advanced Analytics to lead the evolution of our analytics capabilities and data strategy, delivering insights that drive business decisions across BUs, functions and regions.

The role focuses on building scalable data pipelines, dashboards, and self-serve reporting, guiding cross-functional teams, and shaping data governance and process improvements. A strong background in BI, big data, Python and Power BI is required.