AI Data Architect

Intone Inc; New York (NY); Presencial; USD 150.000 - 230.000; Jornada completa

Descripción de la vacante

Intone Inc is seeking an experienced Senior Data Architecture and Strategy lead for a 12-month contract in New York. You will define the data architecture and roadmaps to enable AI, GenAI, and agentic AI initiatives across the organization, partnering with senior business, data, and technology stakeholders.

You will shape enterprise data foundations, including MDM and customer data capabilities, APIs, data access patterns, and data governance models, to drive strategic transformation in

Formación

• 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.
• MDM and customer data experience.
• 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.
• Prior management consulting experience.
• Experience delivering enterprise data or AI transformation initiatives within banking or financial services.
• Familiarity with Snowflake or Databricks.

Responsabilidades

• 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.

Conocimientos

Data architecture

Data strategy

Enterprise data transformation

AI data enablement

MDM

Customer data

Data products

APIs

Data integration

Data governance

Operating models

Metadata

Taxonomies

Ontologies

Knowledge graphs

Gap analyses

Roadmapping

Workshop facilitation

Presentations

Management consulting

Banking data transformation

Cloud data platforms

Snowflake

Databricks

Herramientas

Snowflake

Databricks

Descripción del empleo

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