Unit Price Book (UPB) Technical Team Lead

ABOUT THE ROLE

We are looking for a hands-on Technical Lead to drive the modernization of our Unit Price Book (UPB) methodology. In this role, you will sit at the intersection of data science, technical operations, and construction cost engineering. You will be responsible for transforming our pricing data from a static repository into a dynamic, predictive asset. While you will have support for cloud infrastructure migration and high-level governance, you will own the "middle layer" of our data strategy: the tactical management of data integrity, the development of automated cleaning workflows, and the creation of predictive models to forecast pricing volatility. You will act as a player-coach—coordinating project timelines and technical execution while actively writing code to scrub data and build forecasting models.

HERE'S WHAT YOU'LL DO

• Contribute to the design and implementation of scalable, robust, and secure UPB cost book under the guidance of the Director of Software Engineering. Leverage advanced analytics and machine learning techniques to analyze and interpret construction data, uncover trends, cost drivers, and predictive models for precise cost estimates.
• Analyze unit price book data to identify trends, patterns, and anomalies.
• Develop and maintain machine learning models to analyze historical cost data, identify trends, and forecast future pricing volatility to build and improve the cost book.
• Implement metrics to track the accuracy of our cost book, refining models continuously based on market and usage data.
• Take ownership of the day-to-day technical integrity of the Unit Price Book, ensuring that pricing data is accurate, consistent, and updated according to project schedules.
• Design and write scripts (Python/SQL) and utilize tools to automate the "scrubbing" of raw supplier and market data, reducing manual entry and eliminating errors.
• Translate business requirements from Directors and Cost Engineers into actionable technical roadmaps. Manage the team’s backlog, prioritize sprint tasks, and ensure timely delivery of data updates.
• Serve as the technical translator between the software development team and the construction Cost Engineers (SMEs), ensuring that our data models reflect the reality of the construction market.
• Communicate findings and insights to stakeholders through reports, dashboards, and presentations.

HERE'S WHAT YOU'LL NEED

• Bachelor’s degree in computer science, software engineering, or a related field preferred.
• Required Experience: 8+ years of experience in Data Science or Machine Learning with at least 2 years in lead or project management capacity.
• Advanced proficiency in Python, modeling (Scikit-learn, etc.) and SQL (querying, stored procedures) is required.
• Experience with data visualization tools is required.
• Demonstrable experience with "dirty data." You must show a track record of building automated workflows to clean, standardize, and validate messy datasets.
• Solid understanding of statistical modeling, regression analysis, and forecasting techniques.
• Experience using project tracking tools (e.g., Jira) and agile methodologies to manage technical workflows is preferable.
• Experience in Construction, Supply Chain, Logistics, or financial modeling is highly preferred, specifically familiarity with Unit Price Books (UPB) or Job Order Contracting (JOC) is preferable.
• Strong understanding of software architecture patterns, cloud computing, APIs, deprecating services, and DevOps practices such as CI/CD and source control (Git).
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.