Pricing Data Engineer: AI‑Driven Pricing & Data Pipelines

McDermott Will & Schulte LLP; New York (NY); On-site; USD 110,000 - 169,000; Full time

Job summary

McDermott Will & Schulte LLP is seeking a Pricing Data Engineer to build and maintain data infrastructure and tools that enable consistent, data-driven pricing across the firm. You will collaborate with cross-functional teams to modernize workflows, integrate AI, and improve pricing analysis.

Responsibilities include designing scalable pricing workflows, developing centralized pricing data infrastructure, and supporting AI-enabled pricing strategies.

Qualifications

• Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Finance, or related field preferred.
• Strong SQL and Python skills; experience building scalable workflows, structured data pipelines, automation, APIs, and reporting solutions.
• Experience working with AI platforms, automation tools, or AI-enabled workflows preferred.
• Knowledge of cloud data warehouses and experience with cloud-based data platforms and data visualization/reporting tools preferred.
• Strong mathematical and analytical skills; ability to work under tight deadlines.

Responsibilities

• Design and maintain scalable pricing workflows that support consistent matter scoping, budgeting, and financial analysis across the firm.
• Build and maintain a centralized pricing data infrastructure, consolidating data from multiple systems to support firmwide pricing.
• Support the development and maintenance of pricing strategies for AI-enabled legal services and emerging delivery models.
• Develop and manage data pipelines and queries to support pricing analysis and reporting.
• Modernize pricing workflows by reducing reliance on manual processes and implementing scalable, system-driven solutions.
• Design and deliver pricing tools, including budget builders, scenario modeling, and comparable matter analysis interfaces.
• Integrate AI capabilities into pricing workflows to enhance analysis, forecasting, and decision-making.
• Collaborate with cross-functional teams to support effective pricing, planning, and monitoring of matters through data-driven tools.
• Establish feedback loops to track performance and continuously improve pricing models, tools, and methodologies.
• Develop pricing frameworks and unit economics to support AI-enabled legal work, enabling partners to price, monitor, and refine matters.
• Design pricing processes to be natively executable using AI tools.
• Design and maintain a centralized pricing data layer to support consistent data access and usability.
• Enhance data granularity to enable detailed pricing analysis across phase, task, and resource levels.
• Ensure consistency, transparency, and governance across all pricing data, tools, and methodologies.

Skills

SQL

Python

Analytical skills

Time management

Data pipelines

Education

Bachelor's degree

Tools

Cloud data warehouses

APIs

Data visualization tools

Automation tools

AI platforms

Job description

McDermott Will & Schulte LLP is seeking a Pricing Data Engineer to build and maintain data infrastructure and tools that enable consistent, data-driven pricing across the firm. You will collaborate with cross-functional teams to modernize workflows, integrate AI, and improve pricing analysis.

Responsibilities include designing scalable pricing workflows, developing centralized pricing data infrastructure, and supporting AI-enabled pricing strategies.