Principal Analyst, Data Governance and AI Readiness

Boston Scientific • Maple Grove, MA

9h

About The Position

The Principal Analyst, Data Governance and AI Readiness defines, implements, and enforces data governance frameworks so enterprise data is understood, shareable, standardized, and ready for AI. The role works directly with the Senior Manager, Data Strategy and supports Finance data governance initiatives, including metadata management, data lineage, data catalogs, semantic models, and standardized data meanings that are readable by people and machines.

The analyst establishes governance policies, standards, decision rights, controls, measurable outcomes, and reusable implementation materials. The role leads complex cross-functional initiatives, resolves governance issues and stakeholder priorities, communicates progress and risks to senior leaders, and helps ensure that solutions use approved business definitions, semantic models, certified data products, and authoritative metadata. It also partners with business and technical teams on data product metrics, regulatory compliance, and governance adoption. As the team grows, the analyst may mentor junior analysts and serve as a subject-matter expert.

Requirements

• Bachelor's degree in Information Systems, Data Management, Business, or a related field.
• At least 5 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, such as DAMA-DMBOK.
• Experience with semantic models, metadata management, and master/reference data.
• Familiarity with data privacy and regulatory compliance requirements.
• Excellent communication skills and ability to influence without formal authority.
• Proven ability to work across business and technical teams.

Nice To Haves

• Master's degree or relevant certifications, such as CDMP or DGSP.
• At least 7 years of progressive experience in data governance, data management, data architecture, analytics, AI governance, or related disciplines.
• Experience with data governance tools such as Collibra, Alation, Informatica, or Purview.
• Familiarity with Finance data, SQL, dbt, Alteryx, Tableau, or similar languages and packages.
• Data analysis skills.
• Experience with agent orchestration.
• Experience in large, complex, or highly regulated environments.

Responsibilities

• Lead metadata management, data lineage, and data catalog initiatives, leveraging agents to create a holistic and evergreen view of Finance 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 for adoption across data domains and delivery teams.
• Lead complex cross-functional initiatives where requirements, ownership, technology direction, or operating models are not fully defined.
• Influence the development of a semantic layer designed for broad use across current and future AI projects.
• Develop standardized data meanings derived from master data and readable by both humans and machines.
• Partner with technical teams 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 business concepts into technical terms.
• 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 independently recreating or inferring business logic.
• Support regulatory and compliance requirements, including GDPR, SOX, CCPA, and HIPAA.
• As the team grows, mentor junior analysts and act as a subject-matter expert for data governance best practices.

Benefits

• Core and optional employee benefits are offered; details are provided at www.bscbenefitsconnect.com.
• Compensation for exempt, non-sales roles may include an annual bonus target and long-term incentives, subject to plan eligibility and other requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal