Director-Pricing Strategy-Central Product Strategy

Overview

In this role you lead Moody’s Analytics-wide pricing direction and model development within the Central Product Strategy team. You design AI-enabled and usage-based pricing approaches and govern pricing standards across the organization. You collaborate with business units and strategic partners to unlock scale, improve commercial outcomes, and drive pricing transformation. You translate market, tech, and client insights into actionable pricing and product decisions, enabling Moody’s Analytics to stay ahead in a rapidly evolving market. You will shape responsible AI-enabled pricing and partner with cloud and data initiatives to scale impact.

Responsibilities

• Lead firm-wide pricing direction and cross-business unit innovation
• Design, build, and review pricing models, balancing short-term execution with long-term evolution (AI-enabled and usage-based)
• Establish analytics-wide pricing direction using data, market intelligence, and client insights
• Serve as a think tank on pricing to drive scale and growth
• Collaborate with Business Units to implement new pricing approaches for consistency and impact
• Set pricing guidelines and governance forums to ensure alignment and simplification across Moody’s Analytics
• Support partnerships (cloud, data, distribution, Generative AI) at pricing/product integration scale
• Track market, competitive, and technology trends and translate into implications for pricing, product, and investments

Key requirements

• Strong analytical background with experience building, reviewing, and evolving quantitative pricing models
• Excellent stakeholder management and facilitation skills at strategic and tactical levels
• Strong collaboration and cross-functional partnership abilities
• Genuine curiosity about applying Large Language Models and Generative AI to real-world problems
• Ability to establish firm-wide pricing standards and govern pricing processes
• Strong market, competitive, and technology intelligence with actionable implications for pricing and strategy
• Experience supporting strategic partnerships (cloud, data, distribution, Generative AI)
• Hands-on proficiency in AI concepts and using AI tools to streamline workflows and improve efficiency
• Awareness of AI risk management and commitment to responsible AI use

• stakeholder management
• cross-functional collaboration
• curiosity about AI
• quantitative modeling
• Generative AI concepts
• AI tooling for workflow automation

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