Fraud Data Architect

Fraud Data Solution Architect

Data Access & Security Alignment

• Assess current data access management processes and identify gaps.

• Define and support lock-down requirements for sensitive fraud-related datasets.

• Collaborate with Technology and Security teams to ensure all solutions meet security parameters.

• Evaluate whether fraud data should reside on-premises or in cloud environments.

• Ensure analysts can securely access required datasets while maintaining compliance.

Fraud Data Strategy & Architecture

• Develop a fraud-focused data strategy aligned with enterprise programs and standards.

• Map existing digital databases, analytical tools, upstream/downstream systems, and integration points.

• Create a target-state architecture for fraud data and supporting technologies.

• Produce a detailed roadmap outlining phases, dependencies, and required capabilities.

Current State Assessment

• Conduct a comprehensive review of current fraud data landscape.

• Identify architectural gaps, risks, and opportunities for modernization.

• Document findings in a structured assessment deliverable.

Stakeholder Engagement

• Lead structured interviews and surveys with stakeholders.

• Work with enterprise architecture SMEs to ensure alignment with broader architecture.

Blueprinting & Solution Patterns

• Provide solution patterns tailored to fraud data use cases.

• Deliver architectural blueprints and gap assessments.

• Recommend scalable patterns for ingestion, storage, analytics, and fraud-specific data models.

Required Skills & Experience

• Experience in data architecture with experience in fraud.

• Strong understanding of fraud detection data flows and analytical tooling.

• Experience with secure data access frameworks in regulated environments.

• Ability to translate ambiguous requirements into structured architectural deliverables.

• Proven experience with cloud and on-prem data platforms.

• Strong stakeholder management and communication skills