Principal Analyst, Data Governance and AI Readiness

Additional Location(s): US-MA-Marlborough; US-MN-Arden Hills; US-MN-Maple Grove Diversity
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- 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

The Principal Analyst, Data Governance and AI Readiness is responsible for defining, implementing, and enforcing data governance frameworks that ensure enterprise data is well-understood, shareable, standardized, and AI-ready.  The role will work directly with Senior Manager, Data Strategy.

Your responsibilities will include:
Lead metadata management, data lineage, and data catalog initiatives; leveraging agents to create a holistic and evergreen view of Finance’s data governance artifacts

Define and operationalize governance policies, standards, decision rights, and minimum control requirements for data products, metadata, lineage, semantic models, data quality, access, and lifecycle management.

Resolve complex governance issues and competing stakeholder priorities through structured decision-making, escalation, and risk-based recommendations.

Establish measurable governance outcomes and adoption indicators, and communicate progress, risks, dependencies, and investment needs to senior leadership.

Create reusable frameworks, standards, implementation patterns, and reference materials that can be adopted across data domains and delivery teams.

Lead complex, cross-functional initiatives where requirements, ownership, technology direction, or operating models are not yet fully defined.

Influence build of semantic layer designed for maximum consumption across current and future AI project landscape

Develop standardized data meanings, derived from master data, and readable by both humans and machines

Partner with technical team to create metric definitions alongside new data product development Partner with business stakeholders to align data and metric definitions with business objectives

Facilitate data governance councils, working groups, and stakeholder meetings

Translate technical data concepts into business-friendly language and vice versa

Identify governance gaps and recommend pragmatic, scalable solutions

Ensure solutions use governed business definitions, approved semantic models, certified data products, and authoritative metadata rather than recreating or inferring business logic independently.

Support regulatory and compliance requirements (e.g., GDPR, SOX, CCPA, HIPAA)
As the team grows, mentor junior analysts and act as a subject-matter expert for data governance best practices

Required Qualifications Bachelor’s degree in Information Systems, Data Management, Business, or a related field5+ years of progressive experience in data governance, data management, data architecture, analytics, AI governance, or related disciplines, including demonstrated leadership of complex, cross-functional initiatives in a large enterprise

Strong understanding of data governance frameworks (e.g., DAMA-DMBOK)

Experience with semantic models, metadata management, and master/reference data Familiarity with data privacy and regulatory compliance requirements

Excellent communication skills and the ability to influence without formal authority

Proven ability to work across business and technical teams

Preferred Qualifications Master’s degree or relevant certifications (CDMP, DGSP, etc.)7+ years of progressive experience in data governance, data management,…