Product Data Manager

Anblicks; Richardson (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Anblicks is seeking a senior Data Product Manager to define and drive the AML Monitoring Platform product vision and multi-year roadmap. You will establish an enterprise-grade data foundation for transaction monitoring and financial-crime detection, evangelizing the platform across compliance and leadership teams.

You will own end-to-end data product delivery, collaborate with engineering on scalable pipelines, and ensure alignment with Snowflake, Azure Data Platform, and downstream systems to

Qualifications

• 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.).

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 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

Skills

Data Product Management

Data modeling

Data warehousing

Distributed data systems

Tools

Power BI

Snowflake

Azure Data Platform

Databricks

Job description

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