Lead Solutions Analyst - AI/ML and Data Platforms

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Solutions Analyst for the AMDP team in Jersey City, NJ. You will translate complex business requirements into technically feasible solutions and bridge product owners, business, operations, and software developers.

You will mentor junior analysts, lead cross-departmental projects, and drive innovation while ensuring high-quality service delivery within tight timelines.

Qualifications

• 5+ years of experience in solutions analysis, technical program delivery, or related field.
• Experience with data analysis and data visualization platforms.
• Advanced knowledge of data analytics techniques with data-driven insights.
• Proficiency in SQL databases and data retrieval processes.
• Experience using enterprise AI capabilities and SDLC tools.

Responsibilities

• Lead elicitation, documentation, and validation of business and data flow requirements.
• Develop knowledge of industry trends to provide strategic guidance and innovative solutions.
• Model design and implementation of technical solutions with seamless integration.
• Use advanced data analytics to extract insights and support business initiatives.
• Maintain up-to-date data analysis documentation.

Skills

Data analysis

SQL

Analytical reasoning

Education

Master’s or bachelor’s degree in computer science or engineering related field

Tools

JIRA

Confluence

Tableau

Job description

As a Lead Solutions Analyst at JP Morgan Chase’s Artificial Intelligence, Machine Learning and Data platform (AMDP) 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, you'll navigate ambiguity, manage change effectively, and communicate compellingly with diverse stakeholder audiences to ensure the highest quality and professionalism in service delivery. Responsibilities include evaluating existing processes, offering solutions to drive business value, and ensuring project success under tight timelines. The position also includes mentoring junior analysts, leading cross-departmental projects, and fostering innovation. Strong analytical and communication skills, along with a solid understanding of software development life cycles, are essential to succeed in this fast-paced environment.

Job responsibilities

• Lead the elicitation, documentation, and validation of business and data flow requirements, ensuring alignment with stakeholder expectations and technical feasibility
• Develop and maintain comprehensive knowledge of industry trends, emerging technologies, and best practices to provide strategic guidance and innovative solutions for complex projects
• 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
• Maintain up-to-date and accurate data analysis documentation for reference purposes
• Identify redundancies, automation opportunities, process inefficiencies and provide solutions
• Mentor and guide team members in the application of technical writing and analytical reasoning skills, fostering a culture of continuous learning and improvement
• Provide project status reports to business stakeholders. Excellent organizational and leadership skills, with the ability to meet tight deadlines without compromising project success.
• Identify potential risks and elevate issues as required.
• Continuously explore opportunities to improve application functionality, making recommendations for enhancements.
• Influence- Experience influencing senior leaders, finance teams and technology contributors, adept at articulating complex problems to all levels.
• Proficient in designing and wireframing UI improvements that enhance user experiences.

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
• Proficiency in working with SQL databases, including the development and optimization of procedures and views to enhance data management and retrieval processes
• 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.
• Strong track record of leading through change, navigating ambiguous situations, and managing dependencies in complex projects
• Comfortable working in cross-functional and multidisciplinary teams. Ability to work independently and as part of a team
• Ability to think critically, embrace new technologies, and balance stakeholder needs with user requirements.
• Hands on experience using SDLC tools, such as JIRA and Confluence.
• Hands on experience with dashboards and data visualization tools

Preferred qualifications, capabilities, and skills

• Master’s or bachelor’s degree in computer science or engineering related field; or equivalent related professional experience
• Dashboard development with Tableau
• Data Warehousing and Data Lake experience
• Experience in aggregating and transforming data for optimized reporting