What are the responsibilities and job description for the Lead Solutions Analyst - Risk Technology position at JPMorgan Chase?
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 the Risk Technology group, you will play a central role in driving the success of our technical program delivery. You'll be working closely with the business and strategy teams to translate business requirements into technical requirements, as well as creating & designing data models, and performing data governance. Given the nature of work, you will also be performing business intake management. 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.
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
- Mentor and guide team members in the application of technical writing and analytical reasoning skills, fostering a culture of continuous learning and improvement
Required qualifications, capabilities, and skills
- 5 years of experience or equivalent expertise in solutions analysis, technical program delivery, or a related field
- Experience in database management with exposure to SQL and different databases
- Exposure to AWS and AWS services
- Experience with Data Modeling, ideally using Erwin as a tool
- 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
- 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
- Experience with Python
- Exposure to AI/ML or LLMs
