Data & Information Architect – Testing & Monitoring (GRC)
Location: Charlotte, NC / Minneapolis, MN / Dallas, TX
Employment Type: Long-Term Contract

Position Overview
We are seeking an experienced Data & Information Architect to lead the architecture and design of an enterprise Testing & Monitoring platform supporting Risk, Governance, and Compliance (GRC) initiatives.

The ideal candidate will combine strong enterprise data and information architecture expertise with Financial Services experience and hands-on knowledge of modern data integration, governance, Knowledge Graphs, and AI-enabled solutions. This role will drive solutions from architecture and design through proof-of-concepts and working prototypes.
Key Responsibilities
Define and lead the enterprise data and information architecture strategy for Risk, Compliance, and Testing & Monitoring capabilities.
Design conceptual, logical, canonical, semantic, and business data models across Risk, Controls, Obligations, Tests, Processes, Evidence, and Issues.
Establish authoritative data sources, source-to-target mappings, data lineage, metadata, governance, reconciliation, and auditability.
Architect scalable data ingestion and integration solutions using APIs, Kafka/event streaming, ETL/ELT, data virtualization, cloud platforms, and Lakehouse architectures.
Design reusable data products and metadata-driven enterprise integration patterns.
Enable automated testing, evidence collection, control-effectiveness measurement, and regulatory traceability.
Design Knowledge Graph and ontology-based solutions using Neo4j or similar graph technologies for relationship mapping, impact analysis, and cross-domain intelligence.
Incorporate GenAI, LLMs, RAG, agentic AI, and intelligent automation into enterprise Risk and Compliance use cases.
Drive proof-of-concepts and working prototypes for AI and data architecture initiatives.
Collaborate with Risk, Compliance, Business, Engineering, Data, and Enterprise Architecture teams.
Present architecture recommendations and solutions to senior stakeholders and Architecture Review Boards.
Ensure solutions meet enterprise standards for security, privacy, governance, scalability, and Responsible AI.

Required Qualifications
7+ years of experience in Data, Information, Solution, or Enterprise Architecture.
5+ years of experience within Banking, Financial Services, Capital Markets, Insurance, Risk, or Compliance environments.
Strong expertise in Enterprise Data Architecture and Information Architecture.
Strong experience with conceptual, logical, canonical, semantic, and business data modeling.
Experience with data governance, metadata management, data lineage, reconciliation, auditability, and authoritative data sources.
Strong understanding of APIs, Kafka/event streaming, ETL/ELT, data virtualization, cloud data platforms, Lakehouse architecture, and object storage.
Hands-on experience designing or implementing solutions involving GenAI, LLMs, RAG, or agentic AI.
Experience designing scalable enterprise integration and distributed architecture patterns.
Ability to independently drive architecture initiatives from concept through design and implementation.
Strong communication and stakeholder-management skills.

Preferred Qualifications
Experience with GRC, Operational Risk, Regulatory Compliance, Controls, Control Testing, Testing & Monitoring, or Regulatory Data.
Experience with Neo4j, Knowledge Graphs, ontologies, graph databases, or semantic technologies.
Experience with enterprise data catalog and metadata platforms such as Collibra, Alation, or Informatica.
Familiarity with TOGAF or similar enterprise architecture frameworks.
Experience developing production-ready prototypes and AI-enabled enterprise platforms.

Data & Information Architect - GRC

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