Senior Director of Software Engineering, Head of Identity and Access Management for CDAO

Bring your expertise to JPMorgan Chase and shape the future of secure and resilient AI.   

As the Senior Director of Software Engineering at JPMorgan Chase within the CDAO group, you will be at the epicenter of safeguarding the firm's most critical assets in an era of rapid technological advancement. You will pioneer the Identity and Access Management (IAM) strategy for our cutting-edge artificial intelligence and machine learning initiatives. This is an opportunity to move beyond traditional IAM and build a best-in-class framework that enables innovation while mitigating the unique risks presented by Large Language Models (LLMs) and generative AI. In this pivotal role, you will be responsible for developing and implementing a forward-looking IAM program tailored to the complexities of CDAO & AI/ML data platforms. You will anticipate emerging threats, challenge the status quo, and apply your expert judgment to solve real-world challenges that impact our company, our customers, and our communities. If you are passionate about building at the intersection of cybersecurity and artificial intelligence, we invite you to join our dynamic team.

Job Responsibilities:

• Pioneer a Visionary IAM Strategy: Develop and execute a comprehensive IAM roadmap for our CDAO & AI/ML data platforms, incorporating the latest advancements in securing LLMs, machine learning models, and the entire AI development lifecycle.
• Secure the AI Ecosystem: Engineer robust access control mechanisms for large-scale datasets, model training and inference environments, and the AI/ML supply chain. This includes defining and managing identities for human users, AI models, and autonomous agents.
• Mitigate Emerging AI-Specific Risks: Conduct in-depth assessments of IAM technologies and processes to identify and address vulnerabilities inherent to AI systems, such as prompt injection, data poisoning, and model theft.
• Drive Intelligent and Automated Governance: Leverage AI and machine learning to enhance IAM processes, including predictive access management, continuous behavioral authentication, and automated identity governance for our AI platforms.
• Stay at the Forefront of Innovation: Remain actively informed on the evolving landscape of IAM for AI, including regulatory changes, enforcement actions, and emerging solutions to ensure our control environment remains state-of-the-art.
• Lead with Expertise: Serve as the firm's subject matter expert on IAM for AI/ML, responding to regulatory inquiries, providing insightful documentation, and demonstrating a mature and compliant program.
• Foster a Culture of Security: Engage with cybersecurity, data science, and engineering teams to embed secure IAM practices throughout the AI development lifecycle and promote a deep understanding of the associated risks.
• Analyze and Learn from Incidents: Review and derive actionable lessons from significant security events where IAM is a contributing factor, continuously improving our defensive posture.
• Govern and Influence: Actively participate in and influence IAM governance forums, providing strategic insights to drive risk management initiatives and shape the firm's security policies.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on software engineering concepts and expert applied experience. 
• Significant years of experience in senior Identity and Access Management, cybersecurity, or related engineering roles.
• An expert-level understanding of core IAM principles, including Privileged Access Management (PAM), Role-Based Access Control (RBAC), and the principle of least privilege.
• Demonstrated experience with modern authentication and authorization technologies such as Multi-Factor Authentication (MFA), Single Sign-On (SSO), and Zero Trust architecture.
• In-depth knowledge of cloud security principles and hands-on experience with IAM implementations in hybrid and multi-cloud environments (Azure, AWS, GCP).
• Proven ability to assess, design, and remediate complex IAM vulnerabilities and access control weaknesses.
• Hands-on experience with market-leading IAM solutions (e.g., SailPoint, Okta, CyberArk, Microsoft Entra ID, Ping Identity).
• Extensive experience in securing and managing Microsoft Active Directory (AD) and Azure AD (Entra ID) environments.

Preferred Qualifications, Capabilities, and Skills:

• Proven expertise in advanced Active Directory security concepts, including Group Policy Object (GPO) management, Kerberos authentication, NTLM, and LDAP.
• Demonstrable experience in the practical implementation of least privilege access, just-in-time access, and administrative tiering within a large enterprise.
• A strong understanding of the security challenges and opportunities presented by Large Language Models (LLMs) and generative AI.
• Familiarity with the machine learning lifecycle and the associated identity and access management requirements.
• Experience with securing data pipelines and implementing data-centric security controls.
• Knowledge of AD-related security threats and familiarity with advanced threat protection tools such as Microsoft Defender for Identity and Azure AD Identity Protection.
• Experience with ADFS, conditional access policies, and identity federation in complex hybrid environments.