Mercury, a financial technology company serving business banking customers, is seeking a Data and AI Governance leader to build and spearhead an enterprise-wide governance program for data and artificial intelligence. Reporting to the Chief Risk Officer, this leader establishes practical standards for how data and AI are owned, developed, used, protected, and monitored across the organization. The role works closely with the Model Risk Management and Information Security teams while holding a distinct mandate: Data and AI Governance owns enterprise governance and responsible-use standards, while Model Risk Management retains model inventory, tiering, validation, and model-risk oversight.

The Senior Manager develops Mercury's enterprise data and AI governance frameworks, policies, standards, and operating model, and establishes clear accountability for data ownership, stewardship, quality, lineage, classification, access, retention, and appropriate use. The role creates a risk-based governance process for AI use cases across their full lifecycle, including intake, assessment, approval, implementation, monitoring, and retirement, and develops responsible-AI principles addressing transparency, explainability, fairness, privacy, security, human oversight, reliability, and regulatory compliance. It also maintains an enterprise inventory of material data assets, AI use cases, and related governance decisions.

• 10+ years of relevant experience in data governance, AI governance, technology risk, information governance, model risk, privacy, compliance, or a related discipline
• Demonstrated 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, explainability, bias, performance monitoring, and human oversight
• Experience developing practical, risk-based policies and governance processes in a fast-moving technology environment
• Ability to distinguish among data governance, AI governance, model risk, information security, privacy, and compliance responsibilities while coordinating effectively across those functions

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Location

San Francisco, CA, United StatesUS