The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is pivotal in advancing the firm's data and analytics capabilities, ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our clients and markets. By leveraging data & AI/ML, the CDAO develops innovative solutions to support commercial goals, enhance productivity, and manage risks. The Asia Pacific Chief Data & Analytics Office (CDAO) advances the firm’s data and analytics strategy, platforms, solutions, capabilities, and governance to deliver trustworthy, responsible, innovative, and commercially valuable outcomes across the APAC markets and businesses.

 

As Vice President, AI/ML Solutions Enablement, APAC, the individual plays a key role in driving awareness, adoption, and value realization of AI/ML solutions across the region. Working closely with business, technology, and global teams, the Vice President helps identify high-impact use cases, translates business needs into actionable technical plans, and champions the operationalization of AI/ML capabilities. The Vice President fosters knowledge sharing, promotes AI literacy, and helps build a strong community around data and AI solutions, ensuring consistency and excellence across business functions.

Key Responsibilities

Partner with business and technology leaders to identify and scope impactful AI opportunities that align with strategic goals. Champion the adoption of AI/ML capabilities within business initiatives, ensuring measurable value and successful outcomes. Collaborate with management and business teams to understand challenges and translate requirements into clear technical specifications and delivery plans. Help prioritize business problems that AI/ML can solve, quantify potential value, and ensure solutions are aligned with business objectives. Support the operationalization of AI/ML capabilities across business units, working with senior leadership and AI champions to drive transformation. Translate business requirements into technical execution, contextualizing AI solutions for enterprise needs and communicating complex outputs in business terms. Promote AI literacy and continuous learning across teams, encouraging engagement and upskilling. Facilitate knowledge sharing and help build a collaborative community around data and AI solutions. Stay informed on industry trends, best practices, and emerging technologies in AI/ML. Represent the team in technical forums and collaborative industry initiatives.  

Required Qualifications, Capabilities, and Skills

Bachelor’s degree in Computer Science, Artificial Intelligence, Applied Statistics, Mathematics, Engineering, or a related quantitative field. Formal training or certification in AI/ML solution development, with at least 8 years of experience in data science, technology strategy, or digital transformation within financial services. Solid understanding of core AI, machine learning (ML), and natural language processing (NLP) concepts, including their capabilities and limitations. Experience working across the data lifecycle—from collection and cleaning to analysis and interpretation—to ensure data quality and support data-driven decisions. Strong technical knowledge (such as programming basics and AI frameworks) to communicate effectively with technical teams and understand implementation requirements. Proven track record in supporting the delivery of impactful AI/ML solutions through technical leadership and cross-team collaboration. Business acumen and problem-solving skills, with the ability to frame complex business problems for AI solutions and critically evaluate AI outputs for accuracy and relevance. Commercial mindset with experience measuring the impact and ROI of AI solutions using relevant metrics and key performance indicators. Strong stakeholder management, change management, and cross-functional collaboration skills. Ability to convert complex technical AI concepts into clear, non-technical business language for stakeholders, and vice versa. Understanding of the APAC regulatory landscape and appreciation for the region’s cultural diversity.

 

Preferred Qualifications, Capabilities, and Skills

Experience in building or customizing AI/ML tools and workflows. Familiarity with ethical AI/ML practices and governance frameworks. Experience in the financial services industry, particularly in APAC. Prior experience working with or supporting globally distributed technical teams.