Principal Project Manager, Data & Analytics

Additional Location(s): US-CA-Valencia; US-MA-Waltham; US-MN-Arden Hills; US-MN-Maple Grove

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

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.       

 

About the role:

At Boston Scientific, we advance science for life by delivering meaningful innovations that improve patient outcomes. As part of the Marketing Analytics & Insights team, the Principal Project Manager – Data & Analytics will play a pivotal role in enabling effective project execution, vendor relationship management, and governance across key analytics efforts. This role supports data-driven decision-making and ensures strategic alignment across the organization.

 

The Principal Project Manager will be responsible for managing high-impact projects that contribute to profitable and sustainable growth. Responsibilities span business analysis, operational planning, process improvement, organizational development, and the launch of new programs.

 

Work model, sponsorship, relocation:

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.

 

Your responsibilities will include:

• Project management:
  Develop and manage comprehensive project plans including workstreams, timelines, roles, and resources. Lead cross-functional teams, monitor progress, ensure timely completion of milestones, and deliver updates to senior management and stakeholders.
• Strategic recommendations:
  Analyze business needs and develop data-driven recommendations. Present findings on business strategy, process improvements, or organizational changes, and support implementation planning and execution.
• Project implementation:
  Oversee end-to-end project implementation by managing cross-functional teams, aligning resources, and developing clear work plans and timelines.
• Value Improvement Program (VIP) leadership:
  Lead and support Value Improvement Programs, including training, recognition, system updates, savings tracking, and leadership reporting. Build and manage key performance indicators and continuous improvement mechanisms (e.g., Control Towers, PKP: Problem Solving, Kaizen, Projects).
• Vendor relationship management:
  Own and manage external vendor relationships to support business goals. Coordinate communication, monitor performance, ensure compliance, and facilitate resolution of any issues to drive successful outcomes.

 

Required qualifications:

• Bachelor’s degree or equivalent
• Minimum of 5 years' structured project management experience, including at least 3 years as an internal project manager
• Proven ability to lead global/regional cross-functional project deployments
• Experience identifying business opportunities, proposing data-driven solutions, and executing process improvements
• Strong analytical skills and understanding of cost optimization strategies
• Proficiency in Microsoft Office tools (Teams, PowerPoint, Excel) and project management software (MS Project, Office Timeline, Visio)
• Comprehensive understanding of the analytics landscape, including technologies, data engineering, data visualization, data science, data governance, and related tools
• High attention to detail, data integrity, and multi-tasking capabilities
• Proactive problem-solver with a customer-focused mindset
• Adaptable to evolving business needs and emerging technologies
• Strong passion for continuous learning and operationa