Product Data Manager

Overview Define and drive the AML Monitoring Platform product vision, strategy, and multi-year roadmap. Establish a scalable, enterprise-grade data foundation for transaction monitoring and financial-crime detection Identify and prioritize high-value use cases (rule-based detection, anomaly detection, alert prioritization, regulatory reporting, AI/ML) Evangelize the AML platform vision across compliance, business, and leadership stakeholders Responsibilities Own end-to-end delivery of the AML data product lifecycle: Canonical, normalized transaction and party data models Detection rule engine and AML typology coverage Alert and case data feeding investigator workflows Risk scoring, segmentation, and entity relationship resolution Data Engineering, Architecture, Governance, and Analytics/ML teams Collaborate with engineering teams to design: Scalable data pipelines (ETL/ELT) across ingestion, curation, and detection layers Modern data architectures (medallion, lakehouse, warehouse) Ensure alignment with enterprise data platforms (e.g., Snowflake, Azure, Databricks) and integration with downstream case-management systems Data Governance & Quality Requirements 8+ years of experience in: Data Product Management / Product Management / Data & Analytics Strong understanding of: Data modeling, data warehousing, and distributed data systems Hands‑on experience with: SQL and BI tools (Power BI, Tableau, Looker, etc.) Preferred Skills Experience with AML, transaction monitoring, fraud detection, KYC, or financial-crime compliance initiatives Experience with Snowflake, Azure Data Platform #J-18808-Ljbffr Anblicks