Coinbase isn't for the faint of heart. - Senior Manager, Compliance Product Data

• Team Leadership & Mentorship: Build, lead, and develop a team of Data Product Managers/Analysts. Foster a culture of technical excellence, accountability, and continuous improvement. • Strategic Product Ownership: Provide world-class leadership for the Compliance data product suite, covering Customer Risk Scoring, Transaction Monitoring, AML, Screening, and Sanctions. • Architect Data Governance: Lead the design and implementation of the end-to-end Compliance data risk framework, specifically addressing Data Quality (DQ), Usage Risk, and Lineage Risk. • Enforce Data Contracts: 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. • Oversee System-of-Capture Lineage: Partner with senior engineering stakeholders to maintain comprehensive data lineage, ensuring full transparency from the point of data generation to regulatory reporting. • Drive the Data Roadmap: 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. • Risk-Based Prioritization: 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. • What we look for in you (ie. job requirements): • Leadership Experience: Proven track record of managing and scaling technical data product teams within a regulated Financial Services or FinTech environment. • Domain Expertise: 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. • Technical Design Literacy: Ability to lead deep-dive discussions on ETL pipelines, SQL, and data modeling with Engineering partners while translating those needs for non-technical stakeholders. • Mastery of Data Lineage: Experience mapping complex data flows across distributed systems to meet rigorous regulatory standards (e.g., BCBS 239 or similar). • Stakeholder Management: Exceptional ability to align competing priorities between "speed to market" (Product) and "data integrity" (Compliance) at the executive level. • Risk-Based Thinking: A proactive approach to designing "compensating controls" to manage residual risk in complex technical environments. • Modern Data Stack: Familiarity with cloud-native environments (Snowflake, Databricks, BigQuery) and how they handle metadata and lineage at scale.