Fellow Product Performance Lead

Boston ScientificArden Hills, MN
Hybrid

About The Position

We have an exciting opportunity for a Fellow Product Performance Lead, within CRMDx Divisional Quality to provide technical leadership in the analysis and interpretation of product performance across the CRM portfolio. This role is responsible for leveraging post-market data, advanced analytics, and cross-functional collaboration to identify emerging risks, detect systemic trends, and generate actionable insights that drive awareness and decision making. As a key technical leader, this role operates at the intersection of product investigation, clinical insight, and risk management, translating complex data into clear, evidence-based understanding and recommendations. The Fellow Product Performance Lead will partner closely with Medical Safety, R&D, Design Assurance, and Manufacturing to ensure product performance insights are effectively integrated into decision-making across the product lifecycle. This role will be hybrid out of the Arden Hills office location requiring you to be onsite a minimum of 3 days per week.

Requirements

  • Minimum of a Bachelors degree in Engineering or related fields
  • Minimum of 10 years of experience in implantable medical devices with an emphasis in cardiac pacing, defibrillation, or diagnostics therapies and technologies.
  • Demonstrated expertise in analyzing complex, multi-source data to drive technical conclusions and translate into actionable recommendations
  • Proven ability to influence cross-functional decisions in a matrixed organization

Nice To Haves

  • Masters degree preferred
  • Deep understanding of medical device quality systems and post-market surveillance
  • Experience with advanced analytics, data science, or AI/ML applications
  • Familiarity with clinical data interpretation, design controls, and risk management frameworks

Responsibilities

  • Leads the identification and interpretation of emerging product performance risks through deep expertise in the products, post-market quality systems, product investigation, and industry best practices
  • Integrates data across multiple domains; complaints, clinical, manufacturing, to assess system-level performance and detect patterns that may not be visible through traditional monitoring
  • Defines and evolves analytical frameworks, methodologies, and best practices for post-market surveillance and signal detection, moving beyond traditional monitoring approaches
  • Leads complex, high-impact investigations requiring deep technical judgment and cross-domain data integration
  • Applies advanced analytical, statistical, and hypothesis-driven methods to identify weak signals and emerging trends across high-volume, multi-source data
  • Leverages predictive analysis, pattern recognition, and data modeling techniques to anticipate potential product performance issues
  • Provides independent, evidence-based evaluation of product performance trends and monitoring strategies
  • Translate highly complex data into clear, defensible, and actionable insights for technical and business stakeholders
  • Influences product, risk, and design decisions through clear, data-driven insight in cross-functional forums across R&D, Quality, Medical Safety, and Manufacturing
  • Serves as a key voice in risk evaluation, product design discussions, and quality strategy forums
  • Serves as the technical lead across Quality, Medical Safety, R&D and Manufacturing to align on product performance insights and emerging risks
  • Drive data-informed decision-making in high-visibility and time-sensitive situations with cross functional partners to ensure appropriate understanding and evaluation to influence decisions across design, risk, and quality
  • Evaluates the effectiveness of current signal detection and monitoring processes and drives continuous improvement
  • Establishes scalable, repeatable, and measurable frameworks for product performance monitoring
  • Partners with data science and technology teams to define requirements and implement AI/ML analytical tools

Benefits

  • health insurance
  • dental insurance
  • vision insurance
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