Data Product Manager, Interventional Cardiology

Overview

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Data Product Manager, Interventional Cardiology

Onsite Location(s):
Maple Grove, MN, US, 55311

Additional Location(s): US-MN-Maple Grove

Diversity
- Innovation
- Caring
- Global Collaboration
- Winning Spirit
- High Performance

Boston Scientific offers opportunities to work with diverse, high-performing teams tackling important health industry challenges. You’ll have access to tools, information, and training to help advance your skills and career, with support to progress toward your ambitions.

Boston Scientific's Cardiology Strategy & Business Intelligence organization is accelerating its digital transformation and is seeking an experienced Data Product Manager to help shape the future of enterprise data, advanced analytics, and AI-enabled decision making.

This role partners cross-functionally to lead the strategy, governance, and evolution of a modern data platform that serves as the trusted foundation for business intelligence, advanced analytics, data science, and emerging AI capabilities across the Cardiology franchise. Working closely with business leaders, data engineers, architects, analysts, and data scientists, you will define scalable data products that transform complex enterprise data into actionable insights and intelligent business solutions.

The ideal candidate combines strong business acumen with deep technical knowledge of modern data platforms, cloud technologies, enterprise data modeling, and governance. They understand how high-quality, well-modeled data enables predictive analytics, machine learning, generative AI, and self-service analytics while maintaining the highest standards of security, quality, and compliance.

If you’re passionate about building data capabilities that power the next generation of analytics and AI solutions, we’d love to hear from you.

At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.

• Work with Data Product peers to define and manage the roadmap for data products that support Business Intelligence, advanced analytics, data science, and AI initiatives across Cardiology.
• Partner with stakeholders to identify strategic opportunities where data, predictive analytics, and AI can improve commercial performance, customer insights, operational efficiency, and decision making.
• Translate business objectives into scalable data products, ensuring alignment between business strategy, data architecture, engineering, and analytics.
• Collaborate with data engineers, architects, and data scientists to design scalable conceptual, logical, and physical data models that support reporting, machine learning, and AI-enabled applications.
• Ensure enterprise data assets are AI-ready by improving data quality, metadata, lineage, governance, master data management, and semantic consistency, including management of semantic models across Cardiology Business Intelligence.
• Partner with Data Science and AI Farm teams to understand feature engineering, model input requirements, and analytical workflows, ensuring data products effectively support machine learning development and deployment.
• Guide the modernization of existing data assets into cloud-native architectures using modern data stack technologies, including Snowflake, dbt, Airflow, and related platforms.
• Evaluate and recommend emerging technologies, including generative AI, large language models (LLMs), predictive analytics, and intelligent automation, to accelerate business value.
• Partner to establish scalable operating models for Business Intelligence best practices to improve data reliability, reproducibility, and operational excellence.
• Collaborate across Commercial IT, Digital Capabilities, Sales Strategy, and Business Intelligence teams to ensure data products deliver measurable business outcomes.
• Communicate technical…