Principal Analyst, Data Governance and AI Readiness
About The Position
The Principal Analyst, Data Governance and AI Readiness defines, implements, and enforces data governance frameworks to ensure enterprise data is well-understood, shareable, standardized, and AI-ready. The role works directly with the Senior Manager, Data Strategy and leads governance initiatives, including metadata management, data lineage, data catalogs, semantic models, and standardized data definitions. It partners with technical and business stakeholders to develop governed data products and metric definitions aligned with business objectives, and translates technical data concepts into business-friendly language and vice versa. The analyst establishes governance outcomes and adoption measures, communicates progress and risks to senior leadership, and supports regulatory and compliance requirements. As the team grows, the role may mentor junior analysts and serve as a subject-matter expert in data governance best practices.
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 in 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 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 for adoption across data domains and delivery teams.
- Lead complex cross-functional initiatives when requirements, ownership, technology direction, or operating models are not fully defined.
- Influence development of a semantic layer designed for consumption across current and future AI projects.
- Develop standardized data meanings derived from master data and readable by 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 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 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 available at www.bscbenefitsconnect.com.
- Exempt, non-sales roles may include an annual bonus target and long-term incentives, subject to plan eligibility and other requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
