Sr. Data Analyst

The confidential company is seeking a Senior Data Analyst – AI Enablement to support enterprise data strategy and architecture initiatives focused on AI and agentic capabilities. The role will assess current-state data environments, identify gaps and dependencies, define future-state requirements, and develop data transformation roadmaps while collaborating with technical and business stakeholders.

Responsibilities:

• Assess current-state data architecture, platforms, data flows, and data ecosystems
• Document data capabilities, gaps, dependencies, and improvement opportunities
• Analyze metadata, Master Data Management (MDM), data access, APIs, and integration capabilities
• Evaluate cloud and enterprise data platforms supporting AI use cases
• Define data and architecture requirements for AI and agentic solutions
• Perform capability mapping and dependency analysis across data platforms and systems
• Translate business and technology needs into clear data requirements
• Support future-state data architecture and capability planning
• Develop recommendations, priorities, and roadmaps for data modernization and AI enablement
• Synthesize complex findings into clear documentation and executive-ready materials
• Collaborate with data architects, AI teams, technology leaders, and business stakeholders

Requirements:

• 7+ years of experience in data analysis, data strategy, data architecture, or related roles
• Strong understanding of enterprise data strategy and data architecture
• Experience performing current-state assessments and documenting complex data environments
• Strong knowledge of data flows, data integration, APIs, metadata, and MDM
• Experience with cloud data platforms and modern data architectures
• Understanding of data requirements supporting AI, GenAI, or agentic AI solutions
• Experience with capability mapping, gap analysis, and dependency analysis
• Strong requirements gathering and documentation skills
• Experience contributing to future-state roadmaps and transformation initiatives
• Strong analytical skills with the ability to structure, synthesize, and communicate complex information
• Excellent stakeholder communication and presentation skills
• Financial services experience
• Experience supporting enterprise data transformation or modernization programs
• Familiarity with data governance, data quality, lineage, and data access frameworks
• Exposure to AI/GenAI data architecture or enterprise AI enablement initiatives