Hiring: Senior Manager - Data & AI Governance Company: Mercury Location: New York, NY Job Posted Time: 2026-09-10 13:15:56 Target Skills & Keywords : AI, Embedded Systems, LLM, Machine Learning, Regulatory Compliance, Risk Management, SaaS About the job Experience: •10+ years of relevant experience in data governance, AI governance, technology risk, information governance, model risk, privacy, compliance, or a related discipline. Required Skills: •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 in coordination with relevant stakeholders. •Define risk-based classifications and governance requirements based on the sensitivity, complexity, materiality, and customer or regulatory impact of each use case. •Establish governance for internally developed, vendor-provided, and embedded AI capabilities, including generative AI. •Partner with various Product, Engineering, Data, and business teams to embed governance requirements into development and change-management processes. Qualifications: •Demonstrated experience building or materially enhancing a data governance, AI governance, or responsible-AI program. •In-depth knowledge of data ownership, stewardship, quality, lineage, metadata, classification, access, retention, and lifecycle management. •Solid functional 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. •Demonstrated capacity to distinguish among data governance, AI governance, model risk, information security, privacy, and compliance responsibilities while coordinating effectively across those functions. •Strong judgment and the ability to balance innovation, customer outcomes, regulatory expectations, and risk management. •Demonstrated ability to influence senior executives, technical teams, and business leaders without relying solely on formal authority. •Excellent written and verbal communication skills, including the ability to explain complex technical and risk concepts to executive and Board audiences. •Strong 1LOD/2LOD judgment with an understanding of how enterprise Risk should govern, challenge, and partner with Engineering without taking ownership of 1LOD risks. •Pragmatic judgment: Translates principles into workable processes and focuses on material risks over theoretical ones. •Technical curiosity: Understands technical complexity while staying focused on business and customer outcomes. Compensation: •$225,800 - $282,300 / year •The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!