Lead Solutions Analyst - Product & Data management
- LocationPlano, TX, United States
- Work typeNot stated
- EmploymentFull-time
- Posted30 October 2026
- SourceJPMorganChase's careers page (Oracle Recruiting)
Live checkFirst seen 6 days ago; still listed on JPMorganChase's careers page 3 h ago.
Moves fastWhen JPMorganChase takes a role down early, it is usually about 6 days after posting. Apply soon.
At a glance
- Experience5+ years
- Skills and toolsSplunk
Read from the ad by RoleFinder, with rules and an AI reading; the description is the source.
About the role
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 Technology - Employee Platforms, 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.
Job responsibilities
- Lead the elicitation, 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.
- 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
- Develop and maintain comprehensive knowledge of industry trends, emerging technologies, and best practices and apply technical fluency in relevant platforms and approved tools to provide strategic guidance and innovative solutions for complex projects
- Mentor and guide team members in technical writing and analytical reasoning, fostering continuous learning and reuse-first practices for analysis and documentation
- Promotes reuse-first, AI-assisted practices for analysis and documentation across the team, ensuring human review and alignment to delivery standards.
Required qualifications, capabilities, and skills
- 5+ years of experience or equivalent expertise in solutions analysis, technical program delivery, or a related field
- Strong product management experience, in data management or telemetry.
- Strong knowledge of Splunk, telemetry solutions, and data movement technologies.
- Excellent customer management and communication skills.
- Experience with agile methodologies and product development 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.
- Advanced knowledge of data analytics techniques, with experience in developing and interpreting models, diagrams, and data-driven insights, including data visualization using approved tools
- Strong track record of leading through change, navigating ambiguous situations, and managing dependencies in complex projects
Preferred qualifications, capabilities, and skills
- Advanced expertise in Splunk and telemetry tools.
- Experience in financial services or large enterprise environments
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