Senior Solutions Analyst: Data-Driven Tech Programs Lead

JPMorgan Chase & Co.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Singapore seeks a Lead Solutions Analyst to drive data-driven program delivery, translate business needs into technically feasible solutions, and align stakeholders across product, analytics, and engineering.

You will employ advanced data analytics, model design, and AI-assisted practices to ensure high-quality service delivery, navigate ambiguity, and lead teams toward measurable outcomes in a fast-paced tech environment.

Qualifications

• 5+ years of experience in solutions analysis or related field.
• Bachelor’s Degree in Computer Science or related discipline.
• Experience with data analytics techniques and data-driven insights.
• Ability to translate complex business requirements into technical solutions.
• Proven skills in leading across product, business, operations and engineering.

Responsibilities

• Lead elicitation, documentation, and validation of business and data flow requirements.
• Develop knowledge of industry trends and provide strategic guidance for projects.
• Model design and implementation of technical solutions with system integration.
• Apply advanced data analytics to extract actionable insights for initiatives.
• Mentor team members in technical writing and analytical reasoning.
• Promote AI-assisted practices for analysis and documentation with human review.

Skills

Solutions analysis

Technical program delivery

Data analysis

Data visualization

Technical writing

Stakeholder management

AI capabilities

Education

Bachelor's Degree in Computer Science

Tools

Data visualization platforms

Job description

JPMorgan Chase & Co. in Singapore seeks a Lead Solutions Analyst to drive data-driven program delivery, translate business needs into technically feasible solutions, and align stakeholders across product, analytics, and engineering.

You will employ advanced data analytics, model design, and AI-assisted practices to ensure high-quality service delivery, navigate ambiguity, and lead teams toward measurable outcomes in a fast-paced tech environment.