Senior Manager, Compliance Product Data

What you'll do

• Own the Compliance data product suite as an individual contributor, driving strategic product direction across Customer Risk Scoring, Transaction Monitoring, AML, Sanctions, and Anti-Bribery and Corruption systems and programs.
• Lead the design and implementation of the end-to-end Compliance data risk framework, addressing Data Quality, Usage Risk, and Lineage Risk across all compliance data products.
• Execute formal data contracts between Producers (Engineering) and Consumers (2LOD Compliance, 1LOD Operations), defining control requirements and change management protocols as the final authority.
• Partner with senior Engineering stakeholders to maintain comprehensive data lineage, ensuring full transparency from the point of data generation to control consumption and regulatory reporting.
• Drive the data roadmap by acting as the strategic bridge between Compliance SMEs and Engineering leadership, ensuring data integrity is a foundational component of technical design rather than a manual overlay.
• Shape risk-based prioritization across cross-functional teams, focusing on high-materiality data elements that create systemic change and clear data ownership.

Required Skills and Experience

• 10+ years in Data Product Management, Data Engineering, or Technical Program Management within regulated Financial Services or FinTech, with deep domain knowledge of AML, KYC, Sanctions, and/or Transaction Monitoring.
• Demonstrated ability to lead technical deep-dives on ETL pipelines, SQL, and data modeling with Engineering partners while translating those needs for non-technical compliance stakeholders.
• Proven experience mapping complex data flows across distributed systems to meet regulatory standards (e.g., BCFS 239 or similar) and designing compensating controls for residual risk.
• Fluency with cloud-native data environments (e.g., Snowflake, Databricks, BigQuery) and their metadata, lineage, and governance capabilities at scale.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.