Lead Solutions Analyst Payments
Job Summary
Lead the forefront of innovative solutions analysis in a dynamic tech environment driving success through expertise in data analytics and technical program delivery.
As a Lead Solutions Analyst in Corporate and Investment Back -Payment Technology team you will play a central role in driving the success of our technical program delivery. Your deep understanding of applications platforms and products will position you as a key bridge between product owners business operations and software developers. Utilizing advanced analytical reasoning and technical fluency you will translate complex business requirements into well-structured and technically feasible solutions. You will make data-informed decisions and provide strategic insights to support key business initiatives. As a technical subject matter expert youll navigate ambiguity manage change effectively and communicate compellingly with diverse stakeholder audiences to ensure the highest quality and professionalism in service delivery.
Job responsibilities
- Lead the elicitation requirement analysis documentation and validation of business and data flow requirements ensuring alignment with stakeholder expectations and technical feasibility
- Uses enterprise-authorized AI capabilities within the work environment to accelerate requirements synthesis and solution optioning validating outputs and handling data according to sensitivity and security requirements.
- Develop and maintain comprehensive knowledge of industry trends emerging technologies and best practices to provide strategic guidance and innovative solutions for complex projects
- Adopts AI and building AI agents to model the design and implementation of technical solutions ensuring seamless integration with existing systems and infrastructure
- Utilize advanced data analytics techniques to extract insights from large diverse datasets driving data-informed decision-making and supporting key business initiatives
- Promotes reuse-first AI-assisted practices for analysis and documentation across the team ensuring human review and alignment to delivery standards.
- Mentor and guide team members in technical writing and analytical reasoning fostering continuous learning and reuse-first practices for analysis and documentation
- Must demonstrate the leadership skills to lead the large scale programs
Required qualifications capabilities and skills
- 5 years of experience or equivalent expertise in solutions analysis technical program delivery or a related field
- Demonstrated expertise in data analysis and data application including hands-on experience with major data visualization platforms
- Advanced knowledge of data analytics techniques with experience in developing and interpreting models diagrams and data-driven insights
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted analyses and recommendations before use escalating when uncertain and following data handling expectations.
- Proven ability to apply technical fluency in current and relevant platforms software tools and technologies to drive innovative solutions
- Strong track record of leading through change navigating ambiguous situations and managing dependencies in complex projects
Preferred qualifications capabilities and skills
- Global Payment Domain Experience is must have.
A graduation or post graduation in engineering discipline is preferred
Experience to build large and complex Financial Technology system is must.
It is techno-functional role and use AI to improve productivity.
Must be analytical and problem solver
Required Experience:
IC
About Company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more