Description

Required 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.

Key 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

Key Skills

Education

Bachelor's degree