Data Analysis jobs in Singapore

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 Head of Transformation & Program Management Office role within JPMorgan Chase’s Chief Data & Analytics Office is responsible for managing a portfolio of strategic programs and ensuring effective governance and change management across the firm.

The Asia Pacific Chief Data & Analytics Office (CDAO) at J.P. Morgan is a strategic function that embeds data and AI at the core of business decision‑making. It advances the firm’s data and analytics strategy, platform solutions, capabilities, and governance to deliver trustworthy, responsible, innovative, and commercially valuable outcomes across the region. The Head of Transformation and Program Management Office role within JPMorgan Chase’s Chief Data & Analytics Office plays a pivotal role in advancing APAC CDAO’s strategic initiatives. Reporting directly to the Head of APAC CDAO, this position partners with cross‑functional teams and key regional/global stakeholders to ensure timely and effective project execution aligned with corporate objectives.

• Develop and execute strategic program plans that align APAC CDAO initiatives with regional business goals and global priorities.
• Oversee complex project and program delivery, managing timelines, resources, and risk mitigation to ensure successful outcomes.
• Provide regular progress updates and strategic insights to senior leadership, optimizing organizational focus and accountability.
• Manage the Chief Data and Analytics Team change portfolio, including investment planning, budgeting, reporting, and control frameworks.
• Design and implement effective resource strategies addressing skills, roles, location, and variable resource needs.
• Drive operational improvements and innovative operating models to enhance data management efficiency.
• Measure and report on portfolio performance and metrics, ensuring alignment with the organization’s overall objectives.
• Serve as a trusted advisor to senior leaders across Lines of Business and Corporate Functions.
• Foster strong stakeholder relationships and define decision‑making procedures for cross‑functional teams.
• Build consensus and advance initiatives in a collaborative matrixed environment.
• Promote a high‑performance collaborative culture within project teams.
• Facilitate program outputs, including a playbook of repeatable processes for continued program success.
• Communicate and coordinate effectively with Lines of Businesses and Corporate Functions to gather status updates, drive program reporting, and align on program deliverables and objectives.

Drive industry engagement to expand APAC CDAO’s regional influence and gather market intelligence.

• Bachelor’s degree in Business, Finance, Economics, or a related area.
• 10 years of experience or equivalent expertise in transformation program management, strategy, or leading complex projects and programs in large organizations.
• Proficiency in managing large‑scale complex projects and initiatives with a strong understanding of methodologies like Agile.
• Outstanding analytical and problem‑solving skills to address complex business problems and translate them into actionable data initiatives.
• Advanced expertise in stakeholder management, establishing productive relationships and driving beneficial outcomes aligned with firm objectives.
• Ability to drive reporting and projects individually and collaboratively with cross‑organizational teams.

Ability to multi‑task in a fast‑paced environment and comfortable operating without a specific mandate.

• Experience in the Financial Services industry, particularly in APAC.
• Experience with cross‑functional collaboration, including influencing stakeholders and working with diverse teams.
• Strong data analytics or product background.
• Familiarity with AI/ML data management principles and data & AI technologies and ecosystem.
• Prior experience managing teams in a global or regional context.