Senior Manager, Compliance Product Data

Coinbase

Compliance Product Data Lead at Coinbase overseeing data strategy and governance for financial compliance products. Leading a team to optimize data governance and quality for compliance solutions.

Posted 4/29/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $252,620 - $297,200 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudDistributed SystemsETLiOSSQL

About the role

Key responsibilities & impact

Build, lead, and develop a team of Data Product Managers/Analysts. Foster a culture of technical excellence, accountability, and continuous improvement.
Provide world-class leadership for the Compliance data product suite, covering Customer Risk Scoring, Transaction Monitoring, AML, Screening, and Sanctions.
Lead the design and implementation of the end-to-end Compliance data risk framework, specifically addressing Data Quality (DQ), Usage Risk, and Lineage Risk.
Serve as the final authority on formal data contracts between Producers (Engineering) and Consumers (Compliance, CX, IOS), defining robust control requirements and change management protocols.
Partner with senior engineering stakeholders to maintain comprehensive data lineage, ensuring full transparency from the point of data generation to regulatory reporting.
Act as the strategic bridge between Compliance SMEs and Engineering leadership to ensure data integrity is a foundational component of technical design, not a manual overlay.
Guide your team to eschew "boiling the ocean" in favor of a risk-based strategy, focusing on high-materiality data elements that drive systemic change and data ownership.

Requirements

What you’ll need

Proven track record of managing and scaling technical data product teams within a regulated Financial Services or FinTech environment.
10+ years of experience in Data Product Management, Data Engineering or Technical Program Management, with deep SME knowledge of AML, KYC, Sanctions, and/or Transaction Monitoring.
Ability to lead deep-dive discussions on ETL pipelines, SQL, and data modeling with Engineering partners while translating those needs for non-technical stakeholders.
Experience mapping complex data flows across distributed systems to meet rigorous regulatory standards (e.g., BCBS 239 or similar).
Exceptional ability to align competing priorities between "speed to market" (Product) and "data integrity" (Compliance) at the executive level.
A proactive approach to designing "compensating controls" to manage residual risk in complex technical environments.
Familiarity with cloud-native environments (Snowflake, Databricks, BigQuery) and how they handle metadata and lineage at scale.
Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Benefits

Comp & perks

medical
dental
vision
401(k)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data Product ManagementData EngineeringTechnical Program ManagementETL pipelinesSQLData modelingData Quality (DQ)Usage RiskLineage RiskCompensating controls

Soft Skills

LeadershipAccountabilityContinuous improvementStrategic thinkingProactive approachCommunicationCollaborationPrioritizationProblem-solvingStakeholder management