Global Data Lead - Forecast to Plan

Additional Location(s): N/A

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 advance your skills and career. Here, you’ll be supported in progressing—whatever your ambitions.

The Global Data Lead - Forecast to Plan plays a critical role in managing Boston Scientific's data assets—including transactional data, master data, and key performance indicators—in the Forecast to Plan domain. This position partners closely with Global Process Owners, Data Owners, Data Analysts, and IT to implement and maintain best‑in‑class data governance practices that promote data accuracy, compliance, and strategic accessibility.

As a cross‑functional leader in the enterprise data governance ecosystem, this role ensures harmonized data standards and optimizes data use to support business success globally.

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.

• Define and maintain a comprehensive catalog of business metadata across systems, ensuring clear and consistent definitions.
• Identify and assign data ownership and stewardship for critical data fields; drive cross‑functional resolution of ownership conflicts.
• Collaborate with system owners to establish and manage appropriate data access controls.
• Define and implement data quality rules for the Forecast to Plan domain; partner with technical teams to integrate these into Informatica Data Quality.
• Monitor and improve data quality metrics through root cause analysis, ensuring data is accurate, complete, and reliable.
• Educate data owners on error resolution processes and promote accountability.
• Represent the Forecast to Plan function in the development and enforcement of enterprise‑wide data governance policies and standards.
• Contribute to the design and execution of Boston Scientific's enterprise data governance framework across people, process, and technology.
• Act as a liaison between Forecast to Plan, IT, and Enterprise Data Governance to resolve issues and promote automation in business processes.
• Promote data stewardship principles and educate users on data governance best practices.
• Prepare and present data governance reports and updates to senior leadership.
• Partner with subject matter experts to ensure compliance with Boston Scientific standards for data‑related procedures and processes.

• Bachelor's degree in Supply Chain, Business Management, Information Systems, Computer Science, Data Science, or related field.
• Minimum of 7 years’ experience in supply chain planning.
• Minimum of 7 years’ experience with advanced planning systems (Kinaxis preferred).

• Strong knowledge of SAP ECC and/or SAP S/4
  
  HANA.
• Experience in data management, data quality, or related domains, with a solid understanding of data governance.
• Experience working with data quality tools, databases, and associated technologies.
• Familiarity with global data protection regulations such as GDPR.
• Strong communication and interpersonal skills; able to engage stakeholders across all levels.
• Analytical mindset with excellent attention to detail.
• Demonstrated success in project management and process improvement.
• Self‑starter with a proactive, collaborative, and solution‑oriented approach.
• Ability to work in a fast‑paced, global, and culturally diverse environment.
• Strong organizational skills and the ability to prioritize multiple initiatives effectively.

The anticipated compensation listed above and the value of core and optional employee…