Description

Experience & Skills

• 8+ years (guideline) of experience in information architecture / data architecture in a complex environment
• Strong command of data modeling (conceptual, logical, physical) with hands-on experience
• Demonstrated ability to create canonical data models and cross-domain harmonization (e.g., ontology, taxonomy, semantic modeling)
• Practical experience designing and operationalizing taxonomies, ontologies, and controlled vocabularies
• Familiarity with knowledge graph / semantic concepts (e.g., entity-relationship modeling)

Metadata Management & Governance

• Proven experience building/operating enterprise metadata capabilities: glossary, catalog, lineage
• Strong understanding of governance concepts: data ownership, stewardship, critical data elements

AI-ready Data Strategy

• Working knowledge of how GenAI/ML consumes data (e.g., need for context, definitions, quality)
• Willingness and ability to use AI to accelerate IA tasks (e.g., draft glossaries, classify content)
• Understanding of responsible AI / data usage needs: privacy, access control, retention, regulatory

Stakeholder Leadership

• Strong track record leading cross-functional initiatives spanning Finance, Risk, Compliance
• Excellent facilitation skills: able to drive workshops, handle disagreements, and build alignment
• Ability to communicate effectively with both business executives and engineers

Preferred Qualifications

• Experience in Corporate Functions domains (Finance, Risk, Compliance, Audit)
• Experience with data product operating models, domain data ownership constructs
• Familiarity with common enterprise architecture practices (e.g., capability maps, domain maps)

Key Skills

Education

Any Gradute