Data & Information Architect – GRC Risk & AI

Our Client an IT Services and Consultant company is looking for a Data & Information Architect GRC / Risk & AI for their Charlotte NC/Iselin NJ location.

Responsibilities:

• Senior or lead-level architect and hands-on practitioner able to take initiatives from concept through design architecture and working prototypes rather than strategy alone.
• Deep data and information architecture: conceptual logical canonical and semantic data models; authoritative systems of record and reusable data products; source-to-target mapping data lineage reconciliation auditability metadata and governance.
• Modern integration and platform fluency across APIs event streaming (Kafka) ETL/ELT data virtualization Lakehouse consumption and cloud or object storage such as NetApp S3.
• Financial-services domain depth across risk compliance finance and regulatory contexts with the ability to translate business and regulatory needs into scalable architecture.
• AI-embedded delivery: applies GenAI agentic AI LLM/RAG and knowledge-graph techniques to real use cases and rapid prototypes while keeping AI governed explainable and compliant with Responsible AI Model Risk privacy and security expectations.
• Data & Information Architect Testing & Monitoring (TANDMS) - Aligned to the enterprise Testing & Monitoring (TANDMS) platform within Corporate Risk and Governance Risk & Compliance (GRC).
• Own the data information strategy target-state architecture and sourcing roadmap for the enterprise Testing & Monitoring platform.
• Model the core GRC domains (Risk Control Obligation Issue Test Process and Evidence) with canonical semantic and business-glossary definitions.
• Define sourcing from authoritative systems of record and design ingestion using APIs ETL/ELT event streaming virtualization and metadata-driven patterns.
• Enable configurable testing risk-based sampling control-effectiveness measurement automated evidence collection and end-to-end regulatory traceability.
• Apply Neo4j knowledge graphs and ontologies for lineage impact analysis and cross-domain risk intelligence.
• Embed AI for anomaly detection intelligent sampling evidence summarization obligation-to-control mapping and predictive issue identification.

• Strong communicator and influencer with executive presence comfortable presenting to senior leaders and Architecture Review Boards and operating independently in ambiguous matrixed environments.
• Typically 7 years in engineering and solution architecture with 5 years in a relevant financial-services domain and familiarity with an enterprise architecture framework such as TOGAF.
• Nice to have: experience data catalog metadata and lineage tooling
• We are looking for a builder-minded architect who pairs strategic vision with hands-on execution: someone who structures ambiguity makes sound decisions and drives initiatives independently.
• The strongest candidates combine data-architecture depth financial-services domain fluency and practical AI skill to deliver solutions that are governed resilient and auditable and they bring the executive presence to align business risk data and engineering stakeholders.

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities