Delivery Lead: Dynamic Pricing & Revenue Optimization

Sabre; Dallas (TX); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Hybrid work arrangement

Health, dental and vision insurance

401(k) with company match

Wellbeing programs

Job summary

Sabre Corporation is seeking a Lead Delivery Specialist - Offer Optimization & Revenue Management to join our global Delivery team. You will lead end-to-end implementation, partnering with airline analysts and OR teams to deploy, validate and optimize pricing and revenue models.

The role requires deep airline domain expertise, strong leadership, and the ability to guide customers through data-driven transformations. Some travel will be required, with a hybrid office/remote schedule.

Qualifications

• Minimum 8 years of experience in airline Revenue Management and Pricing, with hands-on RM applications.
• Deep expertise in Dynamic Pricing, Offer Optimization and forecasting techniques.
• Strong SQL / NoSQL database knowledge.
• Experience with Sabre, Amadeus or Galileo systems.
• Willingness to travel 30–40% of the time.

Responsibilities

• Lead solution delivery across the full implementation lifecycle.
• Deploy and fine-tune Dynamic Pricing and Revenue Management models.
• Guide data gathering and perform end-to-end validation checks.
• Train customer analysts and lead project teams.
• Support RFPs, define Work Orders, assist sales operations.

Skills

Airline RM

Dynamic Pricing

Offer Optimization

Competitive Benchmarking

Forecasting

SQL

NoSQL

Python

R

Tools

Google BigQuery

MongoDB

SQL Developer

Studio 3T

Compass

Salesforce CRM

Job description

Sabre Corporation is seeking a Lead Delivery Specialist - Offer Optimization & Revenue Management to join our global Delivery team. You will lead end-to-end implementation, partnering with airline analysts and OR teams to deploy, validate and optimize pricing and revenue models.

The role requires deep airline domain expertise, strong leadership, and the ability to guide customers through data-driven transformations. Some travel will be required, with a hybrid office/remote schedule.