AI Data Architect

Intone Networks Inc.; Northern, New York (KY, NY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Intone Networks Inc. is seeking a Senior Enterprise Data Architect for a 12-month contract in New York, NY.

You will define the data architecture, capabilities, and roadmap needed to enable AI, GenAI, and agentic AI initiatives across the organization. Responsibilities include leading strategy, assessing current-state data capabilities, defining target-state requirements, establishing APIs and data access patterns, and guiding governance.

Qualifications

• 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.
• 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.

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 presentations and strategic narratives.

Skills

Data architecture

Data strategy

Enterprise data transformation

AI/GenAI data enablement

MDM and customer data

APIs and data access patterns

Data governance

Executive workshop facilitation

Storytelling & presentations

Tools

Snowflake

Databricks

Job description

This is a 12-month contract role based in New York, New York, supporting a financial services client with enterprise data strategy and transformation. You will define the data architecture, capabilities, and roadmap needed to enable AI, GenAI, and agentic AI initiatives across the organization.

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 presentations and strategic narratives

Qualifications

• Required
  • 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
• Preferred
  • 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