Global Data Lead - Capital Equipment & Service

Global Data Lead - Capital Equipment & Service

Work mode: Hybrid Onsite Location(s): Arden Hills, MN, US, 55112 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 in advancing your skills and career. Here, you'll be supported in progressing – whatever your ambitions.

About the Role

At Boston Scientific, the Global Data Lead – Capital Equipment & Service is integral to the management of the organization's data assets (including transactional data, master data, and key performance indicators), ensuring data quality, compliance, and effective usage across all business units globally for data within the "Capital Equipment & Service" domain. This role collaborates closely with Global Process Owners, Data Owners, Data Analysts, and IT teams to implement and maintain robust data governance practices, aiming to optimize data accuracy and accessibility while safeguarding sensitive information, reinforcing our commitment to harmonized data governance across the enterprise.

Your Responsibilities Include

• Data Definition & Standards: Define and maintain a catalogue of business metadata across multiple systems, ensuring that metadata definitions are clear and consistently applied.
• Data Ownership & Stewardship: Identify and assign data ownership and stewardship roles for each critical field. Facilitate cross-functional collaboration to resolve ownership conflicts and ensure accountability. Partner with system owners to implement appropriate access controls.
• Data Quality Management: Define data quality rules for the domain and, in partnership with technical colleagues, load to Informatica Data Quality. Educate data owners on processes for reviewing and resolving data errors. Monitor data quality measures and drive meaningful and consistent increases in data quality scores through root cause analysis, ensuring data is accurate, complete, and reliable.
• Data Governance Implementation: Represent the "Capital Equipment & Service" function in the development and enforcement of data governance policies and standards to manage corporate data assets. Support the development of BSC's data governance system (people, processes, technology).
• Stakeholder Engagement: Serve as a liaison between the "Capital Equipment & Service" function, IT, and Enterprise Data Governance to communicate data requirements and resolve data-related issues, promoting automation of functional business processes where appropriate. Educate business users and management on data governance practices, promoting data stewardship principles across the organization.
• Reporting and Documentation: Prepare reports on data quality and governance activities to inform senior management of data governance status. Compliance Monitoring: Work with the appropriate experts to ensure GSC functional data processes, procedures and relevant data is compliant with BSCs standards.

What We're Looking For

Required Qualifications: Bachelor's degree in Supply Chain, Business Management, Information Systems, Computer Science, Data Science, or a related field; Master's degree preferred. 7+ years of experience in capital equipment and service management Advanced use of systems used in capital equipment and service management Preferred Qualifications: Strong knowledge of SAP ECC and/or SAP S4/HANA Experience in data management, data quality, or a related field, with a strong understanding of data governance principles. Experience with data quality tools, databases, and related technology platforms. Knowledge of relevant data protection and privacy laws and regulations (e.g., GDPR) Excellent communication and interpersonal skills, with the ability to engage effectively at all levels of the organization. Strong analytical skills with attention to detail. Proven ability to manage projects and initiate process improvements. Proactive and problem-solving approach to data management challenges. Ability to work independently and collaboratively in a fast-paced, global environment. Strong organizational skills with the ability to manage multiple tasks and priorities. Cultural sensitivity and the ability to work effectively in a diverse workplace.