Senior Pricing Manager - Data Science & Pricing Analytics (Ref: 196761)

Forsyth Barnes
Boston, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 180K

Job location

Boston, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Decision Support Systems
Python
Machine Learning
Standard Sql
Tableau
Large Language Models
Snowflake
Generative AI
Data Analytics
Data Management

Job description

We are searching for a Senior Pricing Manager to sit at the intersection of pricing strategy, advanced analytics, and data science. This individual will be responsible for driving pricing initiatives that influence revenue growth, customer value, and commercial performance while partnering closely with analytics, engineering, and business stakeholders.

This opportunity is ideal for a commercially minded analytics professional who combines strong pricing expertise with technical capability and enjoys solving complex business problems through data-driven decision making.

Requirements

  • Strong experience within Pricing, Revenue Management, Pricing Analytics, or Commercial Strategy
  • Background in Data Science, Advanced Analytics, Machine Learning, or a related quantitative discipline
  • Strong Python and SQL skills
  • Experience working with Tableau, Snowflake, and AWS environments
  • Ability to translate business challenges into analytical solutions and recommendations
  • Strong stakeholder management and communication skills
  • Experience working cross-functionally with technical and non-technical teams
  • Comfortable operating in a fast-paced, data-driven environment

Preferred Experience

  • Experience within retail, e-commerce, consumer, or customer-centric organisations
  • Exposure to AI, Generative AI, or LLM-based solutions
  • Experience applying machine learning techniques to commercial business problems
  • Experience with pricing optimisation, forecasting, elasticity modelling, or revenue growth initiatives
  • Exposure to cloud-based analytics environments and scalable data platforms
  • Experience deploying analytical models into production environments

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