AI Data Architect

About the role

Lead enterprise data strategy and transformation projects for financial services clients.

Responsibilities

• Define and implement data architecture to enable AI, GenAI, and agentic AI initiatives.
• Assess current data capabilities and design target-state enterprise data environments.
• Develop and implement MDM (Master Data Management) and customer data solutions.
• Create and manage data products and foundational data capabilities.
• Establish APIs and modern enterprise data access patterns.
• Define and deploy semantic and contextual data capabilities (metadata, taxonomies, ontologies, knowledge graphs).
• Develop and enforce data governance frameworks and operating models.
• Conduct capability assessments, identify gaps, and develop prioritized data transformation roadmaps.
• Facilitate executive-level workshops and manage senior business and technology stakeholders.
• Prepare executive presentations and strategic narratives using PowerPoint.
• Collaborate closely with client teams to deliver data-driven AI transformation.
• Engage in ongoing knowledge sharing and best practices within enterprise data and AI domains.

Qualifications

• Experience in management consulting and/or delivering data/AI transformations for banking or financial services.
• Familiarity with modern cloud data platforms (e.g., Snowflake, Databricks).