Data & AI Governance Manager

Mercury is seeking a Data & AI Governance leader to build and spearhead an enterprise-wide governance program for data and artificial intelligence, reporting to the Chief Risk Officer.

• Develop and implement Mercury's enterprise Data and AI Governance frameworks, policies, standards, and operating model
• Establish clear accountability for data ownership, stewardship, quality, lineage, classification, access, retention, and appropriate use
• Create a risk-based governance process for AI use cases across their lifecycle, including intake, assessment, approval, implementation, monitoring, and retirement
• Develop responsible-AI principles and standards addressing transparency, explainability, fairness, privacy, security, human oversight, reliability, and regulatory compliance
• Maintain an enterprise inventory of material data assets, AI use cases, and related governance decisions
• Define risk-based classifications and governance requirements
• Establish governance for internally developed, vendor-provided, and embedded AI capabilities, including generative AI
• Partner with Product, Engineering, Data, and business teams to embed governance requirements into development and change-management processes
• Coordinate with Model Risk Management to determine when an AI use case meets the definition of a model
• Partner with Information Security and Technology Risk on data protection, cybersecurity, access, architecture, resilience, and technology-control considerations
• Partner with Legal and Compliance to identify and implement applicable regulatory, contractual, consumer-protection, and privacy requirements
• Develop processes for identifying, documenting, escalating, and remediating data- and AI-related risks and issues
• Establish metrics/reporting for management and Board committees
• Monitor regulatory developments, industry practices, and emerging risks related to data and AI
• Support relevant Data and AI governance forums/committees
• Eventually build and lead a high-performing Data & AI Governance team

• 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, training and inference data, explainability, bias, performance monitoring, and human oversight
• Experience developing practical, risk-based policies and governance processes
• Ability to distinguish among data governance, AI governance, model risk, information security, privacy, and compliance responsibilities
• Strong judgment and ability to balance innovation, customer outcomes, regulatory expectations, and risk management
• Demonstrated ability to influence senior executives, technical teams, and business leaders
• Excellent written and verbal communication skills
• Experience leading teams and managing cross-functional programs
• Strong 1LOD/2LOD judgment
• Preferred: experience within a fintech, financial institution, technology company, or other highly regulated environment
• Preferred: familiarity with banking regulatory expectations for data management, model risk, third-party risk

• Remote within United States