AI Data Architect

NYC, NY, US • Posted 4 hours ago • Updated 4 hours ago
Contract Corp To Corp
Contract Independent
Contract W2
12 Months
No Travel Required
Able to Sponsor
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI Data Architect

Summary

AI Data Architect
NYC Need Local In Person Interview
Long Term
Contract

AI Data Architect to support a financial services client with enterprise data strategy and transformation. This role will focus on defining the data architecture, capabilities, and roadmap needed to enable AI, GenAI, and agentic AI initiatives.

The ideal candidate will combine strong enterprise data architecture and data strategy expertise with experience across MDM, customer data, data products, governance, and modern data access capabilities.

Required Skills

10+ years of experience in data architecture, data strategy, or enterprise data transformation.

Strong financial services experience.

Strong enterprise data architecture expertise.

Experience supporting AI, GenAI, or agentic AI data enablement.

Strong experience with MDM and customer data.

Experience with data products and enterprise data foundations.

Knowledge of APIs, data integration, and enterprise data access patterns.

Experience with data governance and operating models.

Understanding of semantic and contextual data capabilities, including metadata, taxonomies, ontologies, or knowledge graphs.

Experience conducting capability assessments, gap analyses, and roadmap development.

Strong executive workshop facilitation and stakeholder management skills.

Excellent PowerPoint, executive communication, and storytelling skills.

Key Responsibilities

Lead enterprise data strategy and transformation initiatives.

Assess current-state data capabilities and define target-state requirements.

Define enterprise data architecture to support AI and agentic AI use cases.

Evaluate and define MDM and customer data capabilities.

Define data products and foundational data capabilities.

Establish API and enterprise data access patterns.

Define semantic and contextual data capabilities, including metadata, taxonomies, ontologies, and knowledge graphs.

Define data governance and operating models.

Conduct capability assessments and identify key gaps and opportunities.

Develop prioritized data transformation roadmaps.

Facilitate workshops with senior business, data, and technology stakeholders.

Develop executive-level PowerPoint presentations and strategic narratives.

Preferred Skills

Prior management consulting experience.

Experience delivering enterprise data or AI transformation initiatives within banking or financial services.

Familiarity with modern cloud data platforms such as Snowflake or Databricks.

Munesh

,

CYBER SPHERE LLC

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91081414
  • Position Id: 9087432
  • Posted 4 hours ago
Contact the job poster
Munesh Reddy

Munesh Reddy

Recruiter @ Cyber Sphere LLC
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