Are you passionate about artificial intelligence (AI), privacy risk, and data risk management? Join us to shape the future of responsible AI and data risk management across APAC. In this high-impact leadership role, you will collaborate with senior stakeholders and regulators, influence Firmwide strategy, and help safeguard our customers and employees. Bring your technical expertise and make a difference in a dynamic, innovative environment.
As the Head of Data & AI Compliance - Executive Director in the Conduct and Operational Risk team, you will oversee and challenge AI, privacy, and data risk management across APAC. You will serve as the authoritative subject-matter expert on regulatory compliance for data governance, AI technologies, and privacy protection. You will partner with business leaders, technology, and compliance professionals to ensure robust governance, regulatory compliance, and the highest standards of AI and data risk oversight. Your work will help us anticipate and address emerging risks, protect stakeholders, and maintain our reputation for excellence.
Job Responsibilities
- Oversee and challenge business compliance with APAC laws, rules, and regulations related to AI, privacy, and data risks
- Develop, implement, and maintain APAC-specific AI, privacy, and data risk management policies and procedures
- Lead regulatory engagements, including responding to queries, meetings, and examinations with data protection and other relevant authorities
- Partner with senior leaders to provide credible challenge on risk and control assessments, issue identification, remediation, and control effectiveness for AI, privacy, and data risks
- Engage with internal stakeholders, including Technology, Legal, the Chief Data and Analytics Office, and business owners, to ensure regulatory and technical requirements are met
- Design and execute monitoring and testing activities, working with technology teams to identify and assess AI, privacy, and data risks and drive mitigation actions
- Oversee risk assessments for new AI and data-driven projects and initiatives
- Execute compliance and operational risk assessments in line with global oversight programs and local regulatory obligations
- Report on AI, privacy, and data risk management activities, including challenges, monitoring, and testing, to senior management and escalate emerging risks as needed
- Represent Compliance in relevant industry and regulatory forums (e.g., ABS-MAS AI in Finance Roundtable, HKMA-MAS AI Working Group, ASIFMA AI & Data Policy Committee, APAC Privacy Authorities Network)
- Support the business to translate regulatory requirements into technical compliance obligations (e.g., data lineage tracking, explainability thresholds, bias testing protocols, privacy impact assessments).
Required qualifications, capabilities, and skills
- Bachelor's degree in Computer Science, Data Science, Data and Information Architecture, or a related field
- Minimum 10 years' experience in artificial intelligence, privacy risk, data protection, data science, or a related field within the financial services industry
- Demonstrated experience developing and implementing AI, privacy, or data risk management policies and procedures
- Strong analytical and problem-solving skills, with hands-on experience in AI, privacy, or data risk management
- Experience supporting regulatory engagements and managing relationships with regulatory authorities focusing on data, AI, and privacy-focused examinations or enforcement actions in APAC
- Technical fluency in data governance tools and practices (e.g., data catalogs, lineage tracking, quality metrics)
- Technical fluency in machine learning techniques and evaluation frameworks, including large language models (architecture, prompt engineering, fine-tuning, safety mechanisms)
- Experience with explainability and fairness toolkits (e.g., SHAP, LIME, AIF360) and privacy technologies (e.g., differential privacy, federated learning, anonymization)
- Knowledge of the APAC regulatory landscape for data, AI, and privacy, and ability to translate regulatory text into technical control specifications
- Excellent communication and interpersonal skills, with experience influencing senior business stakeholders.
Preferred qualifications, capabilities, and skills
- Experience within the financial services industry in APAC
- Advanced data analytics and visualization skills (e.g., Python, R, Alteryx, Tableau, Excel)
- In-depth knowledge of relevant AI, privacy, and data laws in the APAC region
- Experience overseeing risk assessments for AI and data-driven projects
- Experience working with cross-functional and regional teams
- Advanced degree or relevant certifications in AI, privacy, data science, or compliance
- Previous compliance leadership roles at Tier-1 APAC banks or global banks with large APAC footprints.
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.
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What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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