Description

You will own the enterprise data architecture, focusing on canonical models, metadata governance, and AI-ready data strategies.

This role is on-site.

Responsibilities

• Design and operationalize canonical data models, ontologies, taxonomies, and controlled vocabularies.
• Build and operate enterprise metadata capabilities, including glossaries, catalogs, and lineage tracking.
• Define and enforce data governance concepts such as ownership, stewardship, and critical data elements.
• Align data strategy with GenAI/ML consumption needs, ensuring context, quality, and responsible AI practices.
• Lead cross-functional initiatives across Finance, Risk, and Compliance, facilitating workshops and building alignment.

Required Skills

• 8+ years of experience in information or data architecture within complex environments.
• Strong command of data modeling (conceptual, logical, physical) with hands-on implementation.
• Practical experience creating cross-domain harmonization structures and semantic modeling.
• Proven track record building enterprise metadata management and governance frameworks.
• Understanding of AI-ready data requirements, including privacy, access control, and retention.
• Excellent facilitation and communication skills for engaging both business executives and engineers.

Preferred Skills

• Experience in Corporate Functions domains such as Finance, Risk, Compliance, or Audit.
• Familiarity with data product operating models and domain data ownership constructs.

Key Skills

Education

Any Gradute