Compliance - Operational Risk Management - Vice President

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As an Operational Risk Management Lead – Vice President within the Compliance, Conduct and Operational Risk (CCOR) organization, you will provide independent oversight and assessment of the processes, risks, and controls supporting processes and product offerings within the Consumer & Community Banking (CCB) Operations business to evidence sound operational risk management and regulatory compliance. Operating under the CCOR Framework, you will partner closely with cross‑functional teams and serve as a primary point of contact for operational risk and regulatory compliance matters, leveraging deep knowledge of risks and regulations to enable business outcomes in a well‑controlled manner. You will be responsible for the design and execution of the CCOR program, which consists of the second line of defense’s responsibilities in managing the firm’s Compliance, conduct, and operational risk. Aligned with CCOR’s commitment to world-class risk management, maintaining strong controls, delivering clear guidance on key principles, and proactively managing Compliance, conduct, and operational risks, you will evaluate and identify first-line control design and execution deficiencies across the risk and controls framework through risk and control assessments, risk management analytics, deep-dive topical reviews, and governance and reporting practices. Success in this role requires you to to engage senior management and to build credible, trust-based, collaborative relationships across the lines of defense and functional groups inclusive of Business, Legal, Controls, Risk, and Technology. Job Responsibilities Provide independent, second-line CCOR oversight and credible challenge of AI (including generative and agentic AI), advanced analytics, and automation used in CCB Operations. Maintain a risk-based oversight program for AI-enabled products, processes, decisioning, monitoring, customer interactions, and operational workflows, aligned to the CCOR Framework and applicable technology, data, model, and AI governance requirements. Maintain sufficient technical understanding of evolving AI capabilities to evaluate how solutions function, use data, integrate with business processes, generate outputs/actions, and impact upstream/downstream activities. Assess and monitor how AI adoption and change may introduce or amplify operational, technology, data, model, compliance, conduct, privacy, third-party, resiliency, and customer-impact risks. Evaluate AI use cases across the full lifecycle (intake/classification through design, development, testing/validation, approval, implementation, production monitoring, change management, incident response, and decommissioning). Independently challenge the effectiveness of AI-related controls (e.g., data quality/lineage, access management, testing/validation, explainability, human oversight, output validation, monitoring, change control, exceptions, recordkeeping, and escalation). Review new products, material process changes, technology implementations, and emerging AI use cases early to ensure appropriate risk assessments, governance decisions, control requirements, accountable ownership, and evidence standards are established before deployment or expansion. Verify AI applications operate within approved parameters and intended business purpose, with particular focus on unintended/unreliable outcomes, automation bias, inappropriate reliance, control circumvention, process degradation, and customer/employee impacts. Partner across Business, Technology, Data, Cybersecurity, Controls, Legal, Compliance, Model Risk, Privacy, and other risk disciplines to translate technical topics into clear guidance for senior management and escalate material risks, control deficiencies, governance gaps, or unclear accountability. Stay current on evolving operational risks and regulations, apply critical/analytical thinking in risk assessments, design and execute review activities, identify negative trends/control gaps/emerging risks, and escalate issues promptly. Required qualifications, capabilities, and skills 5+ years of experience in operational risk, technology risk, compliance, controls, audit, model risk, or a related financial-services risk discipline. Experience providing independent risk oversight or credible challenge of AI-enabled technologies, automation, advanced analytics, or technology-supported business processes. Working knowledge of AI concepts, architectures, data dependencies, system integrations, and lifecycle practices, with the ability to understand how these technologies operate within end-to-end business processes. Demonstrated ability to identify and assess how AI applications may introduce or amplify operational, technology, data, model, compliance, conduct, privacy, third-party, resiliency, and customer-impact risks. Experience evaluating governance and controls across the AI lifecycle, including intake, design, testing, validation, implementation, monitoring, change management, incident response, and decommissioning. Knowledge of technology risk-management principles and controls, including data quality and lineage, access management, system development, change control, human oversight, output monitoring, incident management, and operational resilience. Strong analytical and critical-thinking skills, with experience using data, metrics, incidents, exceptions, complaints, or testing results to identify trends, control weaknesses, and emerging risks. Ability to translate complex technology and risk matters into clear, defensible recommendations for senior management and nontechnical stakeholders. Demonstrated ability to collaborate across Business, Technology, Data, Cybersecurity, Controls, Legal, Compliance, Model Risk, Privacy, and other risk disciplines while maintaining effective second-line independence; ability to learn quickly, manage multiple demands, and adapt to changing priorities. Strong judgment, written and verbal communication, stakeholder management, and escalation skills, with the ability to manage multiple priorities in a rapidly evolving risk environment. Self-starter who can drive and own their own deliverables while continuing to collaborate with a broader team and comfortable engaging with engaging with all levels of the organization on risk and control matters, escalating appropriately when needed. Preferred qualifications, capabilities, and skills Experience in Operational Risk, Compliance, Controls, Legal or fraud risk focused within financial services; front ‑ to ‑ back operational knowledge of the relevant line of business (LOB) including its products, processes, and systems, is a strong plus. Proven track record of using AI tools for research and interpretation; designing and executing analyses; aggregating risks across processes and products; and translating findings into clear risk insights and actionable recommendations. Advanced qualifications a plus: CRMP, ORM, PRM, CRCM, CAMS, CIA/CISA, or PMP; advanced degree (e.g., JD, MBA, MS in Risk/Analytics) and experience engaging regulators and internal audit. Strong data fluency; proficient in self-service analytics and data visualization with tools such to support CCOR oversight; able to influence cross-functional partners (Business, Legal, Controls, Risk, and Technology) and present to senior stakeholders.