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

• 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

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.)

• Experience with AML, transaction monitoring, fraud detection, KYC, or financial-crime compliance initiatives
• Experience with Snowflake, Azure Data Platform