IT Data Architect
Jersey, NJ - USA
Job Summary
Job Title: IT Data Architect
Location: Jersey City NJ
Setting: Oniste (5 Days onsite role)
Type: Long Term Project Full time (Permanent)
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:
Location: Jersey City NJ
Setting: Oniste (5 Days onsite role)
Type: Long Term Project Full time (Permanent)
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
- 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)
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 regulation
Stakeholder leadership
- Strong track record leading cross-functional initiatives spanning Finance Risk Compliance
- Excellent facilitation skills: can drive workshops handle disagreement and build alignment
- Ability to communicate effectively with both business executives and engineers translating concepts
Preferred qualifications
- Experience in Corporate Functions domains (Finance Risk Compliance Audit) and related regulations
- Experience with data product operating models domain data ownership constructs and metrics
- 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 a scalable process 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 initiatives
- Candidates too junior are unlikely to be successful given the stakeholder complexity and influence required