Head of AI Strategy and Commercialization - Executive Director, APAC Chief Data & Analytics Office

JPMorganChase; Singapore; On-site; SGD 200,000 - 250,000; Full time

Job summary

A global financial services leader in Singapore is seeking a Head of AI Strategy and Commercialization. This executive role entails shaping AI strategy, developing roadmaps, and driving commercialization of AI-driven solutions to enhance client value. The ideal candidate has over 15 years of experience in AI and data science in financial services and a strong background in stakeholder management and cross-functional collaboration. This full-time position offers an opportunity to innovate while aligning with global AI governance standards.

Qualifications

• 15+ years in AI and data science within financial services.
• Proven track record of bringing AI solutions from ideation to production.
• Experience with stakeholders and regulatory consultations.

Responsibilities

• Lead engagement with business teams to understand challenges.
• Develop AI strategy aligned with business priorities.
• Promote AI literacy across teams.
• Create strategic roadmaps and project plans.

Skills

AI strategy development

Stakeholder engagement

Cross-functional collaboration

Data strategy

Project management

Education

Advanced degree in Computer Science, Data Science, AI, Engineering, or MBA

Tools

AI frameworks

Data governance frameworks

Job description

Head of AI Strategy and Commercialization - Executive Director, APAC Chief Data & Analytics Office

Job Description

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

The Head of AI Strategy and Commercialization Enablement, APAC is a critical executive role that partners with senior stakeholders across the organization to shape AI strategy, develop AI roadmaps, foster cross‑functional partnerships, and spearhead the commercialization and value generation of AI‑driven use cases, products, and solutions to enhance client value, operational efficiency, and revenue growth. The role requires deep expertise in wholesale banking and asset management, combined with a deep understanding of data and AI capabilities—Data strategy, traditional and frontier AI (GenAI/ML), and agentic AI—and how to deploy them safely and compliantly at scale within a Financial Services environment.

This leader serves as a catalyst for responsible innovation, unlocking commercial value, operational efficiency, and enhanced risk management through Analytics and AI solutions while ensuring alignment with global AI governance standards.

Key Responsibilities

• Lead engagement with business and functional teams to deeply understand business challenges, opportunity areas, and desired outcomes.
• Partner with leaders and AI champions to design and formulate a comprehensive AI strategy aligned with global and regional priorities.
• Collaborate with stakeholders and drive ideation workshops, design sessions, and discovery engagements to explore AI possibilities and identify high‑value use cases, balancing innovation with trust, governance, and regulatory expectations.
• Shape the AI portfolio for APAC that supports big bets and strategic priorities while contributing to the global AI use case portfolio and capability/product strategy.
• Operate as a thought leader, ensuring industry best practice, technology trends, market dynamics, regulatory developments, and competitive activity are incorporated.
• Develop strategic roadmaps, project plans, timelines, milestones, and success metrics.
• Ensure regional execution aligns with global patterns, reusable components, enterprise architecture, and best practices.
• Translate business requirements into robust technical execution, curating and contextualizing Data and AI solutions for enterprise needs and explaining complex AI outputs in terms of business value.
• Promote AI literacy and continuous learning across technical and non‑technical teams.
• Act as a trusted advisor and collaborate on AI strategy, adoption, and execution for senior stakeholders.
• Leverage relationships with fintech, third parties, and industry bodies to support the AI strategy.

Required Qualifications, Capabilities, and Skills

• Advanced degree in Computer Science, Data Science, AI, Engineering, or MBA with strong technical literacy in Computer Science, AI, Applied Statistics, Mathematics, or related quantitative field.
• Formal training or certification with 15+ years of experience in AI, data science, digital transformation, technology strategy, data strategy within financial services.
• Strong financial services institution domain knowledge and understanding of the different business lines and corporate functions.
• Proven track record of taking AI and ML solutions from ideation through PoC to production in a global organization.
• Experience engaging with regulators and participating in regulatory consultations.
• Strong understanding of GenAI, LLMs, agentic systems, ML workflows.
• Understanding of data management, data governance, and data domains.
• Understanding of AI governance frameworks, processes, and regulatory frameworks.
• Demonstrated ability to engage and influence senior stakeholders, translating complex AI concepts into business value and practical roadmaps.
• Experience collaborating with cross‑functional teams across regions and building AI capabilities that scale.
• Experience in handling ambiguity and uncertainty, with the ability to navigate complex situations and make informed decisions and the ability to think strategically and develop innovation solutions.
• Understanding of the APAC region regulatory nuances, cultural diversity, and how to manage the regulatory landscape in a global organization.
• Exceptional communication skills, both written and verbal, with the ability to articulate strategic direction and technical concepts to diverse audiences.
• Strong stakeholder management, change management, and cross‑functional collaboration skills.
• Crucial ability to convert complex technical AI concepts into clear, non‑technical business language for stakeholders, and vice versa.

Preferred Qualifications, Capabilities, and Skills

• Proven ability to set and execute strategic vision.
• Track record of driving transformation and delivering measurable value.
• Deep understanding of capital markets and asset management business domains.
• Strong expertise in data and AI technologies.
• Exceptional stakeholder management and executive communication skills.
• Demonstrated experience in leading innovation and managing change.

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 drives everything we do. We build trusted, long‑term partnerships to help clients achieve their business objectives.

We recognize that our people are our strength. 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. We do not discriminate on the basis of any protected attribute. 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.

Seniorities and Employment

Seniority level: Director
Employment type: Full-time
Job function: Engineering and Information Technology