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
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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
