Senior Data Analyst at TheStaffed, Staffing & Recruiting Simplified! (MBE Certified) in New York, NY

Job description

• Our client is seeking a Senior Data Analyst with 7-10 years of experience to assess and modernize their enterprise data architecture and ecosystems. This role will evaluate current-state capabilities, identify gaps and dependencies, and develop strategic recommendations to enable AI and agentic solutions across the organization.

Responsibilities

• Conduct comprehensive assessments of current-state data architecture, platforms, data flows, metadata management, and integration capabilities
• Document data capabilities, gaps, dependencies, and improvement opportunities across enterprise systems
• Analyze APIs, Master Data Management (MDM), data access controls, and cloud platform capabilities supporting AI use cases
• Define data and architecture requirements for AI and agentic AI solutions, including capability mapping and dependency analysis
• Develop future-state data architecture plans and modernization roadmaps with prioritized recommendations
• Translate complex business and technology requirements into clear, actionable data strategy and documentation
• Synthesize findings into executive-ready materials and present recommendations to senior stakeholders
• Collaborate with data architects, AI teams, technology leaders, and business stakeholders throughout the engagement

Requirements

• 7-10 years of hands-on data analysis, data strategy, and enterprise data architecture experience
• Proven expertise in current-state assessments, data flows, data integration, APIs, and metadata management
• Strong knowledge of Master Data Management (MDM), cloud data platforms, and modern data architectures
• Demonstrated experience evaluating AI/GenAI requirements and designing solutions for AI enablement
• Excellent capability mapping, gap analysis, and dependency analysis skills
• Advanced requirements gathering and technical documentation capabilities
• Strong analytical, stakeholder communication, and presentation skills
• Ability to work independently and collaborate effectively with cross-functional teams in a hybrid environment

Skills

Required

• Data analysis
• Data strategy
• Enterprise data architecture
• Current-state assessments
• Data flows
• Data integration
• APIs
• Metadata management
• Master Data Management (MDM)
• Cloud data platforms
• Modern data architectures
• AI/GenAI requirements evaluation