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Salary
$115k – $222k per year (Estimated)
Location
In office (Jersey City)
Seniority
Staff · 5+ years exp
Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

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 within the JPMorganChase Cloud Business Operations 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.

Cloud Business Operations team and is responsible for end-to-end financial management of public cloud spend, including cost allocation, monthly billing execution, and analysis of month-over-month spend drivers. Partnering closely with stakeholders across Finance, Accounting, Engineering, and LOB FinOps leads, the role translates complex cloud usage and financial data into clear insights and recommendations that support budgeting, forecasting, and strategic decision-making.

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
  • Promotes reuse-first, AI-assisted practices for analysis and documentation across the team, ensuring human review and alignment to delivery standards.
  • Lead the analysis and allocation of public cloud costs, ensuring accurate and efficient financial management across the organization.
  • Evaluate public cloud business opportunities, collaborating with internal teams to align financial strategies with organizational goals.
  • Manage and execute standard monthly billing processes for public cloud providers, ensuring accuracy and compliance.
  • Interpret financial data to understand changes in cloud spend, providing insights into the “hows” and “whys” of month-over-month variations.
  • Collaborate with cross-functional teams to drive data-informed decision-making and support key business initiatives.

Required qualifications, capabilities, and skills

  • 5+ years of experience or equivalent expertise in solutions analysis, technical program delivery, or a related field
  • 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
  • Strong proficiency in Excel and data analysis, with the ability to handle large datasets and complex calculations.
  • Knowledge of public cloud providers (AWS, Azure, Google Cloud) and cloud cost management tools.
  • Ability to interpret and analyze financial data, providing strategic insights and recommendations.
  • Excellent communication skills, with the ability to convey complex financial information to diverse audiences.

Preferred qualifications, capabilities, and skills

  • FinOps certification and AWS Cloud Practitioner certification (or equivalent for Azure/Google) highly desirable.
  • Strong understanding of cloud billing processes, financial reporting, and experience with cloud cost management platforms and tools.
  • Proven ability to work collaboratively in a fast-paced, dynamic environment.
  • Demonstrated ability to lead through change and manage ambiguity effectively.
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