Description

You will own the enterprise information and data architecture, driving canonical modeling, metadata governance, and AI-ready data strategies within a complex banking environment.

This role is hybrid.

Responsibilities

• Design and operationalize conceptual, logical, and physical data models, including canonical models and cross-domain harmonization.
• Build and maintain enterprise metadata capabilities, including glossaries, catalogs, and lineage tracking.
• Establish data governance frameworks covering ownership, stewardship, and critical data elements.
• Lead cross-functional initiatives across Finance, Risk, and Compliance, facilitating workshops and building alignment.
• Develop AI-ready data strategies, ensuring data quality, context, and responsible AI practices for GenAI/ML consumption.

Required Skills

• 8+ years of experience in information or data architecture within complex environments.
• Strong command of data modeling techniques (conceptual, logical, physical).
• Practical experience with ontology, taxonomy, and semantic modeling.
• Familiarity with knowledge graphs and entity/relationship modeling.
• Proven track record in metadata management and enterprise governance.
• Experience with modern data platforms such as Snowflake or Databricks.
• Strong banking or finance domain knowledge.
• Ability to communicate effectively with business executives and engineers.

Preferred Skills

• Experience in Corporate Functions domains (Finance, Risk, Compliance, Audit) and regulatory environments.
• Familiarity with data product operating models and domain data ownership constructs.

Key Skills

Education

Not specified