AI-Ready Data Governance Leader

Boston Scientific; Marlborough (MA); On-site; USD 107,000 - 203,000; Full time

Job summary

Boston Scientific is seeking a Principal Analyst for Data Governance and AI Readiness to define, implement, and enforce enterprise data governance frameworks. You’ll work with senior leaders to ensure data is well-understood, standardized, and AI-ready across the organization.

You will lead cross-functional initiatives, develop reusable governance patterns, and mentor junior analysts while supporting regulatory requirements and semantic model development for future AI projects.

Qualifications

• Bachelor’s degree in Information Systems, Data Management, Business, or a related field.
• 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 (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
• Master’s degree or relevant certifications (CDMP, DGSP, etc.)
• 7+ years of progressive experience in data governance, data management, data architecture, analytics, AI governance, or related disciplines
• Experience with data governance tools (Collibra, Alation, Informatica, Purview, etc.)
• Familiarity with Finance data
• SQL, dbt, Alteryx, Tableau or similar languages/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’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

Skills

Metadata management

Data governance

Data lineage

Data quality

Stakeholder management

Cross-functional leadership

Communication

Education

Bachelor’s degree in Information Systems

Master’s degree in Data Management or related field

CDMP or DGSP certification

Tools

Collibra

Alation

Informatica

Purview

SQL

dbt

Alteryx

Tableau

Job description

Boston Scientific is seeking a Principal Analyst for Data Governance and AI Readiness to define, implement, and enforce enterprise data governance frameworks. You’ll work with senior leaders to ensure data is well-understood, standardized, and AI-ready across the organization.

You will lead cross-functional initiatives, develop reusable governance patterns, and mentor junior analysts while supporting regulatory requirements and semantic model development for future AI projects.