Pricing Data Engineer - AI-Driven Pricing Architect

McDermott Will & Schulte

City of Syracuse (NY)

On-site

USD 110,000 - 169,000

Full time

11 days ago

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Job summary

McDermott Will & Schulte seeks a Pricing Data Engineer to build and maintain data infrastructure and AI-enabled pricing capabilities across the firm.

You will design scalable workflows, manage data pipelines, and collaborate with cross-functional teams to drive data-driven pricing, forecasting, and value creation for complex matters in a global law firm.

The role offers a competitive total rewards package and opportunities to influence pricing strategy within a leading multinational firm.

Qualifications

Bachelor’s degree in a related field is preferred.
Strong SQL and Python skills, with experience building scalable workflows and data pipelines.
Experience with AI platforms, automation tools, or AI-enabled workflows is a plus.

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.