Senior Manager - Data & AI Governance (Fintech)

Location: San Francisco, CA; New York, NY; Portland, OR; or remote within the United States

Salary: $225,800–$282,300 USD for employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area; $203,300–$254,100 USD for employees elsewhere in the United States; CAD 213,400–266,800 for Canadian employees.

Company

Mercury is a fintech company providing banking services through partner financial institutions.

What you will do

• Build and implement enterprise-wide data and AI governance frameworks, policies, standards, and operating processes.
• Define accountability for data ownership, stewardship, quality, lineage, classification, access, retention, and lifecycle management.
• Create risk-based governance for AI use cases, including intake, assessment, approval, implementation, monitoring, and retirement.
• Establish responsible-AI standards covering transparency, explainability, fairness, privacy, security, human oversight, reliability, and regulatory compliance.
• Coordinate with Model Risk Management, Information Security, Technology Risk, Legal, Compliance, Product, Engineering, Data, and business teams.
• Develop reporting for management and Board committees, support governance forums, and eventually build and lead a Data & AI Governance team.

Requirements

• 10+ years of relevant experience in data governance, AI governance, technology risk, information governance, model risk, privacy, compliance, or a related field.
• Experience building or materially enhancing a data governance, AI governance, or responsible-AI program.
• Strong understanding of data ownership, stewardship, quality, lineage, metadata, classification, access, retention, and lifecycle management.
• Working knowledge of AI and machine-learning concepts, including generative AI, large language models, training and inference data, explainability, bias, performance monitoring, and human oversight.
• Experience creating practical, risk-based policies and leading cross-functional programs in a fast-moving technology environment.
• Excellent communication, executive influence, judgment, and team leadership skills, including the ability to explain technical and risk concepts to executive and Board audiences.

Nice to have

• Experience in fintech, financial institutions, technology companies, or other highly regulated environments.
• Familiarity with DAMA-DMBOK, NIST AI RMF, ISO/IEC 42001, or comparable governance frameworks.
• Experience governing third-party data, vendor AI solutions, and embedded AI capabilities.
• Technical or analytical experience in data architecture, data engineering, machine learning, analytics, or software development.

Culture & Benefits

• Total rewards include base salary, equity through stock options or RSUs, and benefits.
• Compensation is adjusted for experience, expertise, geographic location, and internal pay equity.
• Commitment to diversity, belonging, equal employment opportunity, and reasonable accommodations throughout the recruitment process.