Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Remote work arrangement
Company Overview
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