Join a high-impact controls team shaping the global AI Controls agenda for Client Onboarding & Documentation at JPMorganChase. Partner with product, technology, and compliance leaders to enable responsible GenAI and agentic AI adoption at scale. Build your career by translating deep technical expertise into measurable risk reduction and stronger operational resilience.
Job Summary
As an AI Control Manager – Vice President within Client Onboarding & Documentation (CO&D), you lead AI/ML risk management strategies to assess, monitor, and strengthen controls for AI use cases across the organization. You drive strategic control testing through advanced analytics, automation, and data-driven reviews to improve efficiency and risk outcomes across WKO and DDS. You provide executive-ready insights by translating complex AI/ML concepts into actionable governance, remediation, and control standards aligned to firmwide expectations.
Job Responsibilities
- Cultivate deep knowledge of CO&D, WKO, DDS, and related control policies, procedures, and systems.
- Drive technical AI risk assessments by evaluating model design, data quality, bias, drift, and failure modes.
- Lead cross-functional teams to develop and implement AI governance frameworks, policies, and control standards.
- Own deep-dive technical reviews to assess accuracy, fairness, explainability, security, and resiliency risks.
- Translate AI/ML concepts into clear risk assessments and recommendations for senior and non-technical stakeholders.
- Build strategic relationships with developers, data scientists, and technology teams to define control requirements.
- Lead control reviews using advanced analytics and data-based testing to uplift the CO&D control environment.
- Oversee proactive reviews using technology tools to identify and address emerging risks and regulatory concerns.
- Execute root-cause analysis and drive corrective actions; synthesize outcomes into concise executive reporting.
- Provide technical leadership during AI-related issues and recommend remediation approaches and monitoring plans.
- Leverage Python, AI tools, and GenAI/LLMs to automate controls, strengthen evidence, and improve risk management.
Required Qualifications, Capabilities, and Skills
- Bring 8+ years of experience working with AI/ML technologies, data science, or related technical fields.
- Hold a bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or similar field.
- Demonstrate strong Python proficiency for analytics, automation, and scalable control solutions.
- Apply strong understanding of ML concepts and the full model development lifecycle.
- Evaluate AI/ML models for bias, overfitting, data quality issues, drift, and validation gaps.
- Lead teams and influence senior stakeholders to deliver strategic initiatives and outcomes.
- Communicate clearly by explaining technical AI concepts to non-technical audiences and executives.
Preferred Qualifications, Capabilities, and Skills
- Leverage hands-on experience with GenAI, LLMs, or agentic AI systems.
- Apply prior exposure to risk management, controls, compliance, or audit functions.
- Utilize knowledge of financial services, AML/KYC processes, and regulatory environments.
- Implement AI governance frameworks, model risk management, or responsible AI principles.
- Execute model validation, monitoring, or AI quality assurance practices.
- Build API integrations and data pipelines to support scalable monitoring and evidence collection.
- Drive innovation by designing strategic solutions for control issues in fast-paced environments.