Manager, Commercial Data & Analytics Engineering

Edwards Lifesciences is dedicated to transforming patient care through innovative medical solutions. The Manager, Commercial Data & Analytics Engineering will design and build data pipelines to support analytics and AI initiatives, collaborating with various teams to ensure data quality and insights generation.

Responsibilities:

• Design, build and maintain data pipelines for ingestion, transformation, and delivery across cloud data platforms
• Follow standards and best practices for source code control, documentation, and data governance
• Implement robust data quality and metadata management processes
• Automate workflows for reliability, scalability, and observability
• Design, build & maintain curated data products, including models for forecasting, account insights, and executive dashboards
• Build and maintain semantic layers and metric definitions to ensure consistency and usability across teams
• Publish governed, certified datasets for BI tools; design dashboards and KPI packs that drive decision-making
• Enable self-service analytics through reusable data assets and clear documentation
• Partner with stakeholders to define metrics and visualization standards
• Prepare data for AI use cases (semantic models, metadata enrichment & governance, etc.)
• Define governance and guardrails for safe AI integration
• Collaborate on AI-driven analytics experiences, such as natural language query over governed datasets
• Partner with the AI/ML Engineer to provide ML-ready features and pilot/operationalize AI use cases that enhance analyst productivity and business insights
• Collaborate and build strong partnerships with stakeholders and cross-functional teams to understand requirements and deliver effective solutions
• Partner with IT to execute technical solutions, ensuring all work aligns with enterprise IT frameworks, standards, and integration requirements
• Bring a self-driven, curious mindset to the team; proactively identify opportunities to improve processes, challenge existing approaches, and drive innovation

Requirements:

• Bachelors Degree in related field with 8 years of previous related work experience or equivalent work experience based on Edwards criteria
• Master's Degree with 6 years of previous related work experience or equivalent work experience based on Edwards criteria
• Clinical experience (e.g., cardiology, clinics) or equivalent work experience based on Edwards criteria
• Proven expertise in SQL, Python & data modeling skills
• Experience with data lake, data mesh & data as product concepts
• Experience with Cloud data platforms (AWS stack, Databricks/ Snowflake), modern transformation tools (dbt, AWS Glue, Fivetran, etc.) & source code management (Git)
• Experience with BI & visualization tools (Tableau, PowerBI, Thoughtspot)
• Excellent written and verbal communication skills and interpersonal relationship skills including consultative and relationship management skills
• Good understanding of sales & commercial workflows
• Strict attention to detail
• Ability to interact professionally with all organizational levels and proactively escalate issues to appropriate levels of management in the organization
• Ability to manage competing priorities in a fast-paced environment
• Interacts with team members and other managers and may include vendors
• Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control