Job Description

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:

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

Job Tags

Permanent employment, Full time

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