AML Reporting, Data Governance & Analytics Lead

On behalf of our Financial Services client, Procom is searching for an AML Reporting, Data Governance & Analytics Lead for a 2-month role. This position is a hybrid position with 3 days onsite at our client’s Chicago office., The AML Reporting, Data Governance & Analytics Lead will support the U.S. AML Transformation, Delivery, and Insights organization by leading AML reporting, analytics, data governance, and technology enablement initiatives. This role focuses on delivering AML metrics, dashboards, and governance frameworks to support business-as-usual activities., * Own and deliver recurring AML metrics, reporting, dashboards, and executive-ready analytics.

• Support AML Risk Assessment data deliverables, including sourcing, definitions, QA/QC, reconciliations, cadence management, and reporting outputs.
• Lead the build and enhancement of SAS Viya reporting datasets, dashboards, visual analytics, and backend reporting pipelines.
• Define reporting requirements, calculation logic, controls, documentation, user stories, acceptance criteria, and test plans.
• Strengthen AML reporting lifecycle and reporting data governance, including data dictionaries, lineage, controls, evidence, and data quality monitoring.
• Partner with AML, Technology, Data Governance, and senior stakeholders to resolve issues and deliver clear, decision-ready insights.
• Lead reporting lifecycle management and continuous improvement initiatives.

• 7+ years of AML, Financial Crimes, Risk, Compliance Reporting, Data Analytics, or Banking Technology experience.
• 5+ years working with AML and financial services data.
• Strong hands-on SQL and Python experience.
• Experience building dashboards, reporting datasets, scorecards, and visual analytics.
• Deep understanding of Transaction Monitoring, Customer Risk Rating, Sanctions/Screening, and AML Risk Assessment.
• Experience with data governance, data quality, controls, lineage, and reporting documentation.
• Strong business-facing analytics and business intelligence experience.

Nice-to-Have Skills:

• SAS Viya (Visualize, Explore, CAS, Data Preparation, Automation, QA/QC)
• Power BI
• Tableau
• Qlik
• Agile / SDLC delivery experience