Senior Construction Data Professional

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Company Overview

A rapidly growing project and cost management consultancy serving clients across the United States and globally. The organization supports complex projects through project management, cost management, data solutions, and construction technology, working across a diverse portfolio of industries and large-scale developments.

Responsibilities

• Design, build, launch, and maintain a connected reporting suite supporting executive, portfolio, pipeline, workload, schedule, budget, risk, and service-performance reporting.
• Develop and improve intake and workflow tools that capture project requests, support triage, track actions and decisions, and provide visibility from incoming requests through completion.
• Build solutions within the approved technology environment using connected forms, spreadsheets, scripts, internal sites, and visualization tools.
• Use large language models and AI-assisted development tools to accelerate solution design, generate and refine scripts, troubleshoot formulas, document logic, and automate repetitive tasks.
• Apply appropriate human review, testing, version control, and secure data-handling practices before deploying AI-assisted solutions.
• Automate data collection, quality checks, approvals, status updates, notifications, data refreshes, and recurring reporting workflows wherever practical.
• Translate program and portfolio data into clear, actionable dashboards and visualizations that support leadership decisions and improve visibility into project requests and delivery.
• Develop user guides, data dictionaries, and support documentation; train users and establish practical maintenance and handoff processes.
• Monitor usage and recurring pain points to identify opportunities for automation and continuous improvement.
• Prototype AI-assisted enhancements within approved technology and security guidelines.
• Maintain a reusable library of prompts, code patterns, scripts, and technical documentation for the Data Solutions team.
• Perform workload and team management activities, including QA/QC, fee proposals, and task management.
• Reconcile invoices and change orders with general contractors, subcontractors, and third parties.
• Perform value analysis and support project-related decision-making.
• Develop and maintain client relationships to support client satisfaction.
• Provide reports and information requested by senior management and respond to business inquiries.
• Mentor estimating technicians and estimators while supporting training related to construction technology and project divisions.

Qualifications

• 4–7 years of experience in data analytics, business intelligence, reporting automation, product analytics, or a related field.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Engineering, Construction Management, or a related discipline, or equivalent practical experience.
• Demonstrated experience building connected solutions across Google Workspace, including Google Sheets, Forms, Sites, Apps Script, and connected business intelligence or dashboarding tools.
• Strong proficiency in at least one data visualization platform, with an understanding of data visualization and information-design principles.
• Working proficiency in Google Apps Script or JavaScript, along with SQL and Python or a comparable scripting language for data preparation, automation, testing, and integration.
• Experience defining data models, data dictionaries, validation rules, and repeatable data refresh and quality-control processes.
• Demonstrated experience using large language models or AI coding assistants to generate, review, test, troubleshoot, and document production scripts and workflow automations.
• Familiarity with prompt design, structured outputs, API integration, or retrieval-based solutions is a plus.
• Strong written and verbal communication skills, including the ability to explain technical decisions and solutions to non-technical stakeholders.
• Ability to understand contracts and specifications and review construction schedules.
• Proficiency in Microsoft Excel and current technology and software tools

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