Data Architect With AML AND Credit Card & Payment Domain - Full Time- Remote Role

Position Title: Data Architect With AML AND Credit Card & Payment Domain
Location Remote (Occasional Travel)
Full Time
Role Overview
We are seeking an experienced AML Solution Architect with deep expertise in NICE Actimize, AML monitoring, data architecture, and data quality management to review the current AML ecosystem, identify process and control gaps, and define strategic solutions that improve data quality, regulatory compliance, and operational effectiveness.
The ideal candidate will work closely with AML Operations, Compliance, Data Warehouse, ETL, and Technology teams to assess the end-to-end data lifecycle from source systems through Actimize and recommend scalable architecture patterns, reconciliation controls, monitoring frameworks, and modernization opportunities.
Key Responsibilities
AML Architecture Assessment
Review current AML technology architecture, including source systems, Data Warehouse, ETL processes, ODS, staging layers, and Actimize integration.
Analyze customer, account, transaction, KYC, and watchlist data flows feeding Actimize.
Identify architectural weaknesses, bottlenecks, and operational risks impacting AML monitoring effectiveness.
Evaluate current-state data lineage and traceability across AML data pipelines.
Actimize Solution Design
Design optimized data ingestion frameworks for NICE Actimize.
Define source-to-Actimize reconciliation and validation strategies.
Review Actimize scenarios, alert generation processes, and data dependencies.
Recommend scalable architecture to improve completeness and integrity of AML monitoring data.
Partner with AML stakeholders to enhance Actimize processing efficiency and data coverage.
Data Quality & Controls Framework
Design enterprise-grade AML Data Quality Framework.
Define controls for:
Completeness
Accuracy
Consistency
Timeliness
Uniqueness
Referential Integrity
Establish data quality scorecards and dashboards.
Create monitoring mechanisms for:
Missing records
Data drift
Schema changes
Failed loads
Filter impact analysis
Exception management
Long Description
Data Governance & Compliance
Collaborate with Compliance, Audit, Risk, and AML Operations teams.
Define governance standards supporting regulatory expectations.
Establish audit-ready lineage and traceability processes.
Prepare architecture documentation supporting MRA/MRIA remediation activities.
Ensure solution designs align with AML regulatory obligations and model governance requirements.
Modernization & Transformation
Recommend modernization roadmap for AML data processing.
Evaluate opportunities involving:
ODS optimization
Real-time processing
Event-driven architectures
Cloud-based AML data platforms
Metadata-driven controls
Automated DQ frameworks
Drive reusable architecture patterns and AML best practices.
Stakeholder Management
Act as the primary liaison between:
AML Business Teams
Compliance
Data Warehouse Teams
ETL Teams
Actimize SMEs
Enterprise Architecture Teams
Facilitate workshops and architecture reviews.
Present findings and recommendations to senior leadership.
Area(s) of responsibility
Required Skills
AML Domain
Strong knowledge of:
AML Transaction Monitoring
KYC/CDD
Sanctions Screening
Watchlist Processing
SAR/STR Reporting
Regulatory Compliance Programs
Actimize Expertise
NICE Actimize Transaction Monitoring
Actimize Data Model
Actimize IFM/RCM/AIS knowledge
Alert Management
Case Management
Scenario Data Requirements
Actimize Batch Processing Architecture
Data Architecture
Data Warehousing Concepts
ETL/ELT Architectures
Oracle Database
Data Modeling
Data Lineage
Metadata Management
Master Data Management
Data Quality
Data Profiling
Data Reconciliation
Data Validation Frameworks
Root Cause Analysis
Data Observability
Data Governance
Technical Skills
SQL
Oracle
Ab Initio / Informatica / DataStage
Python (preferred)
Databricks (preferred)
Kafka/Event Streaming (preferred)
Cloud Platforms (AWS/Azure preferred)

Work arrangement
No