Manager - Pricing Strategy

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
Qualifications
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.