Lead Solutions Analyst - Data & Analytics

Lead the forefront of innovative solutions analysis in a dynamic tech environment, driving success through expertise in data analytics and technical program delivery within JP Morgan Chase's Artificial Intelligence, Machine Learning and Data platform (AMDP) team.

About the role

As a Lead Solutions Analyst, 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. You will translate complex business requirements into well-structured and technically feasible solutions, make data-informed decisions, and provide strategic insights to support key business initiatives. This role involves navigating ambiguity, managing change, and communicating compellingly with diverse stakeholders to ensure high-quality service delivery.

Responsibilities

• Lead the elicitation, documentation, and validation of business and data flow requirements, ensuring alignment with stakeholder expectations and technical feasibility.
• Use 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.
• Promote reuse-first, AI-assisted practices for analysis and documentation across the team, ensuring human review and alignment to delivery standards.
• 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, and process inefficiencies, providing solutions.
• Identify potential risks and escalate issues as required.
• Continuously explore opportunities to improve application functionality, making recommendations for enhancements.
• Influence senior leaders, finance teams, and technology contributors by articulating complex problems to all levels.
• Design and wireframe UI improvements that enhance user experiences.
• Mentor junior analysts, lead cross-departmental projects, and foster innovation.

Requirements

• 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 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, both independently and collaboratively.
• Critical thinking skills, ability to 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.

Qualifications

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

Benefits

• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

Pay

Competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.