Data & Information Architect - Testing & Monitoring

Data & Information Architect Testing & Monitoring (GRC/TANDMS)

Location: Charlotte, NC/Minneapolis, MN/Dallas, TX



Employment Type: Contract (w2 preferred, c2c open)

Position Summary

We are seeking a hands-on Data & Information Architect to lead the data architecture strategy for an enterprise Testing & Monitoring (TANDMS) platform supporting Corporate Risk and Governance, Risk & Compliance (GRC). This role is ideal for an experienced architect who can drive initiatives from concept through architecture, design, and working prototypes while ensuring scalable, governed, and AI-enabled solutions.

The ideal candidate will bring deep expertise in enterprise data architecture, financial services, modern integration technologies, and AI-enabled information management.

Key Responsibilities

• Define and own the enterprise data and information architecture strategy for the Testing & Monitoring platform.

• Design conceptual, logical, canonical, semantic, and business data models across GRC domains including Risk, Control, Obligation, Issue, Test, Process, and Evidence.

• Establish authoritative systems of record and define source-to-target mappings, data lineage, metadata, governance, reconciliation, and auditability.

• Design scalable data ingestion and integration using APIs, ETL/ELT, Kafka/event streaming, data virtualization, and cloud data platforms.

• Develop reusable data products and metadata-driven integration patterns.

• Enable configurable testing, automated evidence collection, control effectiveness measurement, and regulatory traceability.

• Design and implement knowledge graph and ontology-based solutions using Neo4j or similar technologies for impact analysis and cross-domain intelligence.

• Embed AI capabilities including GenAI, LLMs, RAG, agentic AI, and intelligent automation for anomaly detection, evidence summarization, predictive issue identification, and obligation-to-control mapping.

• Collaborate with business, risk, compliance, engineering, and enterprise architecture teams.

• Present architectural solutions to executive leadership and Architecture Review Boards.

• Drive proof-of-concepts and working prototypes while ensuring governance, security, privacy, and Responsible AI compliance.

Required Qualifications

• 7+ years of experience in solution, enterprise, or data architecture.

• 5+ years of experience within Financial Services, Banking, Capital Markets, Insurance, or Risk & Compliance.

• Strong expertise in enterprise data architecture, information architecture, and data governance.

• Experience with conceptual, logical, canonical, semantic, and business data modeling.

• Strong knowledge of APIs, Kafka/event streaming, ETL/ELT, data virtualization, Lakehouse architecture, and cloud/object storage.

• Experience with data lineage, metadata management, reconciliation, auditability, and authoritative data sources.

• Hands-on experience implementing AI solutions including GenAI, LLMs, RAG, or agentic AI.

• Experience with enterprise integration patterns and scalable distributed architectures.

• Strong executive communication and stakeholder management skills.

• Experience working independently in complex enterprise environments.

Preferred Qualifications

• Experience with Neo4j, knowledge graphs, ontologies, or graph databases.

• Experience with enterprise data catalog and metadata management tools such as Collibra, Alation, or Informatica.

• Familiarity with TOGAF or similar enterprise architecture frameworks.

• Experience building production-ready prototypes and AI-enabled enterprise platforms.