Need IT Data Architect in Jersey City, NJ – 5 Days onsite role

[Recruiter IT]

Job Title: IT Data Architect

Location: Jersey City, NJ – 5 Days onsite role

Long Term Project

 

Mandatory Skills: We will look for experience on a) Data Strategy and b) Semantic and Context Engineering as well, on top of Data Architecture experience.

 

Job Description:

 

Core Information & Data Architecture

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)

Success Measures (First 6–12 Months)

• A prioritized IA roadmap aligned to AI-ready outcomes (metadata coverage, glossary completeness)
• Agreement on key cross-domain definitions and scalable processes to maintain them
• Adoption of modeling and metadata standards across multiple programs/teams
• Tangible improvement in data discoverability and usability for analytics/AI use cases

Role Level

This is a mid to senior individual contributor role (or lead IC), requiring maturity to drive enterprise outcomes independently and influence stakeholders.