Senior Data & Information Architect - AI-Driven, GRC

TechDigital Group

Charlotte (NC)

On-site

USD 140,000 - 190,000

Full time

5 days ago
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Job summary

TechDigital Group presents a Senior Data & Information Architect role focused on building and governing the enterprise Testing & Monitoring platform within Corporate Risk & GRC. The role blends hands-on architecture with data modeling, governance, and scalable design.

You will drive sourcing roadmaps, enable AI-assisted insights, and partner with risk, data, and engineering stakeholders to deliver auditable, resilient solutions.

Qualifications

  • 7+ years in engineering and solution architecture (enterprise scale)
  • 5+ years in financial-services domain (risk/compliance/finance)
  • Familiarity with TOGAF or equivalent EA framework
  • Strong communication and executive presence

Responsibilities

  • Own the data information strategy, target-state architecture, and sourcing roadmap for the enterprise Testing & Monitoring platform.
  • Model core GRC domains (Risk, Control, Obligation, Issue, Test, Process, Evidence) with canonical definitions.
  • Define sourcing from authoritative systems and design ingestion using APIs, ETL/ELT, event streaming, virtualization, and metadata-driven patterns.
  • Enable configurable testing, risk-based sampling, control-effectiveness measurement, 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, and predictive issue identification.

Skills

Data architecture
GRC domain
Executive comms
AI capability

Tools

Neo4j
Knowledge graphs

Job description

TechDigital Group presents a Senior Data & Information Architect role focused on building and governing the enterprise Testing & Monitoring platform within Corporate Risk & GRC. The role blends hands-on architecture with data modeling, governance, and scalable design.

You will drive sourcing roadmaps, enable AI-assisted insights, and partner with risk, data, and engineering stakeholders to deliver auditable, resilient solutions.

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