Senior Manager, Sales Data Architecture & Engineering, Transcatheter Heart Valve

Good decisions are rooted in good data. Founded in Edwards Lifesciences strong ethical culture our commitment to best practice in data governance ensures accuracy consistency and integrity of data at all levels. This critical function harmonizes data governance policies and processes in collaboration with business units and functions across the globe. As part of this team youll have the resources needed to ensure we are holding ourselves to the highest standards possible. Together we ensure responsible data use allowing Edwards to lead innovative solutions to transform patient lives.

Aortic stenosis impacts millions of people globally yet it oftenremainsunder-diagnosed and under-treated. Edwards groundbreaking work in transcatheter aortic heart valve replacement (TAVR) pioneered an innovative life-changing solution for patients by offering heart valve replacement without the need for open heart surgery. Our Transcatheter Heart Valve (THV) business unit continues to partner with cardiologists and clinical teams to transform patient care with devices supported by clinical driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.

The U.S. Transcatheter Heart Valve (THV) Sales Operations organization is seeking a Senior Manager Sales Data Architecture & Engineering to lead the data foundation that supports U.S. THV Sales reporting analytics planning operational decision-making and field-facing business intelligence.

• Lead the design and evolution of U.S. THV Sales data architecture including SQL database structures curated datasets reporting models and semantic layer design.
• Ensure data is organized in a way that is intuitive scalable reliable and usable for BI developers analysts and business users.
• Define reusable business logic common dimensions standardized metrics and analytics-ready datasets for Tableau Power BI Excel and ad hoc reporting.
• Partner with business stakeholders to translate Sales reporting and analytics needs into sustainable data models rather than one-off reporting solutions.
• Support migration of key data assets into Snowflake where appropriate including requirements data mapping validation and semantic layer readiness.
• Lead the development maintenance and continuous improvement of data pipelines that support Sales reporting dashboards planning tools and operational workflows.
• Oversee data ingestion transformation validation testing documentation and production support for critical data assets.
• Use advanced SQL expertise to troubleshoot data issues validate transformations optimize queries and support root-cause analysis.
• Establish practical controls for pipeline reliability exception handling data refresh monitoring and issue escalation.
• Partner with IT and technical teams to improve pipeline performance automation lineage and long-term scalability.
• Lead team ownership of U.S. THV Sales SQL databases including database structure performance awareness access needs refresh dependencies and operational reliability.
• Monitor and coordinate issue resolution related to database health server performance data availability failed jobs refresh delays and other production-impacting issues.
• Partner with IT infrastructure database administration and enterprise data teams on server maintenance environment support capacity needs security standards and platform dependencies.
• Ensure critical sales data environments are documented supportable and aligned with business continuity needs.
• Establish operating routines for database maintenance awareness incident triage and communication to impacted business users.
• Lead development of a sales-focused semantic layer that allows business users to access consistent trusted and understandable data.
• Ensure curated datasets are prepared for multiple consumption paths including Tableau Power BI Excel SQL-based analysis and future AI-enabled analytics.
• Reduce duplicated reporting logic by centralizing commonly used calculations definitions hierarchies and business rules.
• Partner with BI developers and analysts to ensure dashboards and reports are powered by clean well-modeled and documented data.
• Improve self-service analytics by making Sales data easier to find understand and use appropriately.
• Own practical data stewardship for sales-critical domains such as accounts facilities physicians territories products external data sources organizational hierarchies and sales alignments.
• Partner with IT and enterprise data teams on master data rules data quality controls and source system dependencies that impact sales reporting.
• Maintain clear documentation including data dictionaries metric definitions transformation logic lineage notes refresh dependencies and known data limitations.
• Coordinate sustainable fixes for recurring data quality issues across business owners IT and technical teams.
• Ensure documentation is maintained as a core part of the teams operating model not as a one-time project.
• Lead coach and develop a high-performing U.S. THV Sales Data team focused on data architecture data engineering database support and analytics enablement.
• Serve as the primary bridge between sales business stakeholders BI & analytics users IT and enterprise data teams.
• Communicate data risks dependencies tradeoffs and recommendations in clear practical terms for both technical and non-technical audiences.
• Manage priorities across multiple sales data initiatives while promoting reliability documentation quality standards and sustainable solutions.
• Identify opportunities to simplify sales reporting processes automate recurring data work and improve speed-to-insight for business users.

• Bachelors Degree in related field and 10 years of previous related sales operations business strategy and/or financial planning experience or equivalent work experience based on Edwards criteria or Masters Degree or equivalent in related field and 8 years of previous related sales operations business strategy and/or financial planning experience or equivalent work experience based on Edwards criteria.

• Experience supporting Sales Commercial Operations Sales Operations or field-facing analytics in a complex organization.
• Familiarity with Snowflake including migration planning data modeling curated datasets semantic layer concepts or governed access models.
• Familiarity with database infrastructure server health job monitoring refresh dependencies and production support processes.
• Experience with master data management metadata management data lineage data cataloging and data observability practices.
• Experience in medical device healthcare biotechnology pharmaceutical or other regulated environments.
• Strong attention to detail with the ability to balance technical depth business needs operational reliability and long-term scalability.
• Data product management: Manage intake prioritization lifecycle and adoption of shared Sales data assets.
• Data observability: Define monitoring routines alerts SLAs and quality checks for critical Sales datasets pipelines and reporting dependencies.
• Platform partnership: Provide the Sales business perspective on Snowflake SQL database environments BI platforms metadata tools and data architecture decisions.
• Analytics and AI readiness: Ensure curated Sales data is structured validated and documented for future predictive analytics Copilot and AI-enabled workflows.
• Data access enablement: Partner with IT and business users to ensure appropriate access usability and support for data consumed through BI platforms Excel and ad hoc analysis.
• 3 years of people leadership experience preferably leading data BI analytics or technical business teams.
• Advanced SQL skills with demonstrated ability to analyze validate troubleshoot and optimize complex datasets queries and transformations.
• Experience supporting SQL databases data pipelines curated datasets semantic layers data marts or enterprise BI data models.
• Experience working with BI platforms such as Tableau Power BI or similar tools.
• Strong communication documentation stakeholder management and requirements translation skills.
• Ability to work across business IT data engineering infrastructure finance commercial and operations teams.

Aligning our overall business objectives with performance we offer competitive salaries performance-based incentives and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.

For California the base pay range for this position is $139000 - $196000 (highly experienced).

The pay for the successful candidate will depend on various factors (e.g. qualifications education prior experience). Applications will be accepted while this position is posted on our Careers website.

Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.