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, you will be responsible for developing and implementing AI governance frameworks, policies, and procedures to ensure the ethical and compliant use of AI technologies within the organization. Our mission is to integrate AI/ML enablement technology into the fabric of the firm governed by sustainable best practices for compliance with JPMC technology, operational risk and applicable regulations. You will work closely with cross-functional teams, including data scientists, engineers, legal, compliance, and business units, to drive AI governance initiatives and ensure alignment with regulatory requirements and industry best practices. You will also drive delivery of risk and control issues, action plans and control processes, and preparation for Audits and regulatory exams.

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, preferably 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. Relevant certifications such as CISSP, CISA, CRISC, or certifications in AI governance and MLOps are highly desirable.

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.