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Manager - Pricing Strategy

American Express
New York City, USA
Full-time
Manager · 5+ years experience
Hybrid
Discovered 1 weeks ago
Excel

Full Job Posting

Minimum Qualifications

  • Bachelor's degree.
  • 5+ years of experience in financial analysis, pricing, strategy, consulting, banking, or a related analytical field.
  • Strong financial modeling, analytical, and problem-solving skills.
  • Experience presenting insights and recommendations to senior stakeholders.
  • Ability to influence cross-functional partners and operate effectively in a matrixed environment.
  • Proficiency in Excel and PowerPoint, with an interest in leveraging AI-enabled productivity and analytical tools to improve effectiveness.

Preferred Qualifications

  • MBA or advanced degree.
  • Experience in pricing strategy and commercial decision support.
  • Experience applying AI, machine learning, advanced analytics, or automation to business problems.
  • Familiarity with generative AI tools and their business applications.
  • Experience partnering with Data, Product, and Technology teams to develop and implement analytical solutions.
  • Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

Responsibilities

  • Partner with Sales and Account Development to develop pricing strategies aligned to segment goals
  • Lead pricing support for complex deals across new and existing GCS clients, using analytical and AI-assisted tools to evaluate scenarios, identify pricing opportunities, and accelerate decision-making.
  • Evaluate deal economics and clearly communicate trade-offs, risks, and profitability impacts
  • Collaborate with GCO, Risk, Controllership, Contracts, and Operations Excellence to ensure pricing governance and execution
  • Partner with Product to inform new product pricing strategies
  • Support GCS transformation priorities by identifying pricing actions to improve pre-tax income and exploring opportunities to use AI and automation to improve pricing effectiveness, speed, and scalability.
  • Develop and continuously enhance pricing frameworks, tools, dashboards, and decision-support materials for go-to-market initiatives, incorporating predictive analytics and AI-enabled capabilities where they can improve commercial outcomes.
  • Partner with Finance to forecast and track P&L impacts of pricing decisions
  • Monitor competitive and regulatory dynamics and assess implications for pricing strategy
  • Support client engagements as needed

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