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Lead Solutions Analyst II | Business Systems, Data & AI (Wealth Management)

JPMorgan Chase
Plano, USA
Full-time
Lead · 2+ years experience
Onsite
Discovered 2 weeks ago
awssql

Full Job Posting

Job responsibilities

  • Contribute to data-driven decision-making by extracting insights from large, diverse data sets and applying data analytics techniques
  • Collaborate with cross-functional teams to provide input on architecture designs and operating systems, ensuring alignment with business strategy and technical solutions
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
  • Assist in managing project dependencies and change control by demonstrating adaptability and leading through change in a fast-paced environment
  • Promote continuous improvement initiatives by identifying opportunities for process enhancements and applying knowledge of principles and practices within the Solutions Analysis field
  • Guide the work of others, ensuring timely completion and adherence to established principles and practices

Required qualifications, capabilities, and skills

  • 2+ years of experience or equivalent expertise in solutions analysis, with a focus on eliciting and documenting business and data flow requirements
  • Demonstrated proficiency in data fluency, including experience with data extraction, interpretation, and making data-informed decisions
  • Developing technical fluency in relevant platforms, software tools, and technologies, with a curiosity to continuously expand technical knowledge
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Experience in data visualization and analytics, including understanding of vendor products and managing vendor relations
  • Strong written communication skills, with a proven ability to effectively translate complex information for diverse stakeholder audiences
  • AI-first approach to problem-solving, with comfort experimenting with and applying AI tools to research, analysis, and day-to-day workflows
  • Experience working in a collaborative, cross-functional environment with both technical and non-technical stakeholders
  • Strong written and verbal communication skills, with the ability to clearly articulate complex problems in multiple ways and present to diverse audiences
  • Proficiency in creating business requirements documents, process flows, and user stories

Preferred qualifications, capabilities, and skills

  • Hands-on experience using AI tools such as generative AI assistants or LLM-based tools to support analysis, documentation, or productivity
  • Familiarity with wealth management, financial services, or investment products and platforms
  • Experience working within agile or scrum delivery frameworks
  • Exposure to data analysis tools or query languages such as SQL, and to data visualization platforms
  • Understanding of Cloud based platforms such as AWS.
  • Understanding of API integrations, system architecture, or modern data and AI pipeline concepts
  • Experience supporting technology implementations or digital transformation initiatives

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