The Chief Data and Analytics Office is responsible for building enterprise-scale, cutting-edge platforms for Data Analytics and AI/ML Operations that are used firm-wide by the JPMC workforce for Artificial Intelligence/Machine Learning (AI/ML) development and Data Management.

As an AI Governance Product Manager-Vice President within our organization, you will take the lead in formulating and executing AI governance frameworks, policies, and procedures. Your role is crucial in ensuring the ethical and compliant application of AI technologies across the firm. You will be instrumental in integrating AI/ML enablement technology into the company's structure, adhering to sustainable best practices in compliance with JPMC technology, operational risk, and relevant regulations. Collaborating with cross-functional teams such as data scientists, engineers, legal, compliance, and business units, you will spearhead AI governance initiatives and ensure they align with regulatory requirements and industry best practices. Additionally, you will manage the delivery of risk and control issues, action plans, control processes, and preparations for audits and regulatory examinations.

Job Responsibilities

• Design and implement comprehensive AI governance frameworks, policies, and procedures to ensure the ethical and responsible use of AI technologies across the organization.
• Ensure compliance with relevant AI regulations, standards, and guidelines, including GDPR, CCPA, and emerging AI-specific regulations.
• Identify, assess, and mitigate risks associated with AI technologies, including data privacy, bias, transparency, and accountability.
• Collaborate with cross-functional stakeholders such as data scientists, engineers, legal, compliance, and business units to integrate AI governance practices into the AI/ML development lifecycle, and also delivery firm wide control standards and procedures including adherence to controls in technology and cyber risk domains ( application security, vulnerability management and data management )
• Implement and manage MLOps practices to streamline the deployment, monitoring, and maintenance of machine learning models, ensuring compliance with governance policies.
• Establish monitoring and reporting mechanisms to track compliance with AI governance policies and identify areas for improvement.
• Present product/program updates, risk management and governance findings, and recommendations to senior leaders and stakeholders, ensuring transparency and accountability.
• Keep abreast of industry trends, regulatory changes, and emerging risks related to AI governance to proactively address potential threats.

Required qualifications, capabilities and skills

• 6+ years of experience in product management, technology governance, risk management, or compliance within regulated industries such as financial services.
• Bachelor’s degree in Computer Science, Information Technology, Business Administration, or a related field.
• Strong understanding of AI/ML and data governance, MLOps, and technology governance/risk/compliance principles.
• Proven experience in business analysis and driving operational change/system development. Able to identify critical requirements by understanding complex and interdependent processes.
• Familiar with industry standards, frameworks, and regulations related to AI governance, such as the NIST AI RMF Framework, GDPR, CCPA, PCIDSS, and SOC.
• Strong critical thinking and problem-solving skills, with the ability to identify and mitigate risks effectively.
• Excellent presentation and communication skills, with the ability to convey complex information to senior leaders and stakeholders.
• Proven ability to collaborate effectively across cross-functional teams and build strong working relationships.

Preferred qualifications, capabilities and skills

• Experience with public cloud platforms (e.g., AWS, GCP, Azure) is a plus.
• Advanced certifications in AI governance, data governance, or related fields.
• Relevant certifications such as CISSP, CISA, CRISC, or certifications in AI governance and MLOps are highly desirable.