Senior Executive Director of Data & AI

Join JPMorganChase as a senior leader shaping the future of responsible data and AI governance at enterprise scale - where your expertise directly influences how one of the world's largest financial institutions innovates with integrity.

In this high-visibility role, you will have the opportunity to build and lead a function that sits at the intersection of technology, risk, and regulatory strategy, with direct access to executive leadership and firm-wide impact.

As a Senior Executive Director of Data & AI at JPMorganChase within Employee Platforms, you will be responsible for establishing and overseeing the enterprise framework governing data, artificial intelligence, machine learning, analytics, and emerging AI technologies.

You will lead the design, implementation, and continuous enhancement of governance, risk management, compliance, and control practices that ensure responsible, secure, transparent, and regulatory-compliant use of data and AI across the organization.

This role serves as the senior liaison between Technology, Data Management, Cybersecurity, Risk, Compliance, Legal, Audit, and business stakeholders - enabling innovation while maintaining a robust risk and control environment.

Job responsibilities


* Define and execute the firm's Data and AI Governance strategy and operating model, establishing policies, standards, procedures, and controls across data, analytics, AI, generative AI, machine learning, and agentic solutions


* Lead governance for AI and generative AI initiatives throughout their full lifecycle, ensuring alignment with internal policies, model risk requirements, regulatory expectations, and responsible AI principles


* Design and maintain an effective control environment across data and AI platforms, identifying, assessing, and mitigating operational, regulatory, privacy, cyber, model, and technology risks


* Partner with technology teams to embed controls into data pipelines, AI platforms, and development lifecycles, and drive remediation of audit findings, regulatory observations, and control weaknesses


* Monitor evolving global regulatory requirements impacting data and AI, coordinating regulatory examinations and internal audit reviews while serving as the senior escalation point for governance and compliance matters


* Establish enterprise standards for data quality, lineage, metadata, classification, and access management, overseeing data quality monitoring, issue management, and exception reporting


* Define governance practices for data access, entitlement management, and least-privilege principles, partnering with cybersecurity and platform teams to establish secure, scalable, and auditable access models


* Chair or participate in governance forums responsible for AI and data oversight, presenting risk, control, and compliance metrics to executive committees


* Lead and develop a high-performing team of governance, risk, controls, data management, and AI policy pro...