Description The Chief Data and Analytics Office (CDAO) is responsible for building enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations that are used firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development and Data Management. As an Data Governance Product Delivery Manager-Vice President within our organization, you will take the lead in understanding, formulating and executing well designed, user friendly, product feature that apply Data governance frameworks, policies, and procedures. Your role is crucial in ensuring the ethical and compliant application of AI & Data Management technologies across the firm. You will be instrumental in integrating Data Management 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 Firmwide CDO, data scientists, engineers, design, legal, compliance, and business units, you will spearhead Data 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 products that implement Data governance frameworks, policies, and procedures to ensure the ethical and responsible use of Data management technologies across the organization. Ensure compliance with relevant Data regulations, standards, and guidelines, including GDPR, CCPA, and emerging regulations. Identify, assess, and mitigate risks associated with Data Management technologies, including data quality, data protection & privacy, bias, transparency, and accountability. Collaborate with cross-functional stakeholders such as Firmwide CDO, data scientists, designers, engineers, legal, compliance, and business units to integrate AI & Data governance practices into the data development lifecycle, and also deliver firm wide control standards and procedures including adherence to controls in technology and cyber risk domains (application security, vulnerability management and data management ) Establish monitoring and reporting mechanisms to track compliance with Data 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 Data 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 data governance, MLOps, and technology governance/risk/compliance principles. Proven experience in business analysis and driving operational change/system development with ability to identify critical requirements by understanding complex and interdependent processes. Familiar with industry standards, frameworks, and regulations related to AI & Data governance. 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.