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Salary
$152k – $281k per year (Estimated)
Location
In office (Columbus)
Seniority
Architect · 8+ 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.

Join Consumer & Community Banking Finance & Business Management in a highly visible role that helps define how we measure and communicate the business value of AI. You’ll partner with senior leaders across Data & Analytics, Finance, Strategy, Product, and the Firm’s central AI teams to bring clarity, consistency, and strong storytelling to AI outcomes.

As an AI Valuation Chief of Staff-Vice President in Consumer & Community Finance & Business Management, you will lead the end-to-end coordination of the AI value measurement agenda. You’ll help define and operationalize frameworks, align metrics and methodologies across teams, and ensure reporting is supported by high-quality data and consistent standards. You will translate AI initiatives into measurable business outcomes and produce executive-ready insights that support senior leadership decision-making.

Job Responsibilities

  • Partner with D&A executives and central AI teams to define and operationalize the AI value measurement framework
  • Coordinate AI valuation activities across teams to align assumptions, metrics, methodologies, and reporting standards
  • Develop executive-level reporting, dashboards, and insights that demonstrate business impact from AI investments
  • Drive data quality, completeness, and accuracy across AI inventories, tracking systems, and supporting platforms
  • Partner with Finance and business leaders to establish credible value attribution methodologies and benefit measurement approaches
  • Translate complex analyses into clear narratives and recommendations for senior executives
  • Identify reporting gaps and implement process improvements to increase transparency into AI adoption, performance, and outcomes
  • Establish and maintain a consistent operating cadence for AI valuation deliverables, milestones, and stakeholder alignment
  • Serve as a central coordinator across CCB D&A, managing priorities, dependencies, and enterprise requests related to AI valuation
  • Support development and review of business cases, investment rationales, and performance measurement materials for AI initiatives

Required Qualifications, Capabilities, and Skills

  • 8 + years of experience in strategy, business management, finance, consulting, program management, or transformation
  • Demonstrated ability to lead complex, cross-functional initiatives with senior stakeholders
  • Strong analytical and problem-solving skills, including translating data into executive insights
  • Experience developing business cases, financial analyses, performance measurement frameworks, or executive reporting
  • Exceptional written and verbal communication skills, including preparing executive-level materials
  • Ability to influence across organizations and drive alignment without direct authority
  • Strong organizational skills and attention to detail, with ability to manage multiple priorities

Preferred Qualifications, Capabilities, and Skills

  • Experience supporting AI, Data & Analytics, technology, or digital transformation initiatives
  • Knowledge of value measurement, business impact assessment, productivity metrics, or investment evaluation frameworks
  • Experience building executive dashboards, performance reporting, or strategic communications
  • Familiarity with enterprise data environments and data quality management practices
  • Experience defining KPIs and governance for measurement programs spanning multiple teams
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