Data Product Manager

Data Product Manager

At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing – whatever your ambitions.

We are seeking an experienced Data Product Manager to join our Cardiology Marketing & Digital Enablement (CMDE) team. The Data Product Manager will define and lead the vision, strategy, and roadmap for enterprise data products, including the Marketing Data Platform (MDP), Customer 360, and Conversational Agentic AI capabilities. This role serves as the bridge between business stakeholders, analytics teams, data engineering, and technology partners to deliver scalable, high-impact data solutions that enable customer-centric engagement, advanced measurement, and AI-powered decision-making.

The successful candidate will drive product strategy from concept to adoption, establishing clear business value, prioritizing investments, and ensuring data products meet the evolving needs of marketing, sales, and commercial leadership. They will champion a product-centric mindset, translating business challenges into data-driven solutions that unlock actionable insights, improve customer experiences, and accelerate growth across the organization.

This role follows a hybrid work model requiring employees to be in our Maple Grove or Arden Hills, Minnesota 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.

Your responsibilities will include:

• Define and execute the product strategy and roadmap for Modern Data Platform (MDP), Customer 360, and Conversational Analytics solutions for specific franchises within our Cardiology business.
• Oversee data engineer delivery capacity, sequencing, dependencies, and sprint priorities across the data product portfolio.
• Collaborate with data engineers, architects, and data scientists to design scalable conceptual, logical, and physical data models that support dashboards, 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.
• Guide the modernization of existing data assets into cloud-native architectures using modern data stack technologies, including Snowflake, dbt, Adobe Experience Platform, Salesforce Data Cloud, and related platforms.
• Partner with business and technical stakeholders to identify opportunities, prioritize capabilities, and deliver measurable business outcomes.
• Establish product governance, success metrics, and adoption strategies to maximize value realization.
• Drive the development of customer intelligence capabilities that provide a unified view of customer interactions, preferences, and engagement.
• Lead the evolution of AI and conversational analytics solutions that transform data into accessible, actionable insights for commercial teams.
• Enable a unified customer view and scalable data foundation that supports measurement, personalization, AI, and advanced analytics.

Required qualifications:

• Bachelor's degree in Data science, Statistics, Economics, Computer Science, Engineering, or a related field.
• 7+ years' of experience in Data Product Management, Data Architecture, Data Engineering, Analytics Engineering, or related technical product leadership roles.
• Demonstrated experience delivering enterprise data products on modern cloud-based data platforms.
• Strong expertise designing enterprise data models, including dimensional modeling, semantic modeling, and scalable analytical data structures supporting both Business Intelligence and AI applications.
• Experience with modern data stack technologies, including Snowflake, dbt, Apache Airflow, SQL, and cloud-based ETL/ELT frameworks.
• Advanced SQL skills with experience optimizing large-scale analytical datasets.
• Experience working with AWS cloud services and modern cloud data architectures.
• Experience implementing enterprise Data Governance practices, including metadata management, data lineage, business glossaries, master data management, and data quality frameworks.
• Strong understanding of enterprise Business Intelligence platforms such as Tableau, PowerBI, Adobe Customer Journey Analytics.
• Fortune 500 working experience, especially regulated industries or with sensitive data (e.g., financial, healthcare)

Preferred qualifications:

• Strong experience with Customer Data Platforms such as Adobe RT-CDP, AEP, Salesforce Data Cloud, Braze
• Strong experience with personalization and journey orchestration capabilities such as Adobe Journey Optimizer, Pega Customer Decision Hub, Salesforce Journey Builder, Adobe Target, Salesforce Personalization.
• Experience supporting machine learning workflows, including feature engineering, model lifecycle management, or MLOps practices.
• Knowledge of modern AI data architectures, including vector databases, Retrieval Augmented Generation (RAG), embeddings, and semantic search.