Project Data Analytics Solutions Manager

STV is seeking a Project Data Analytics Solutions Manager to join our Project Accounting team. This position will report directly to the Vice President of Project Accounting & Billing Operations, the Project Data Analytics Solutions Manager will lead the development, delivery, and ongoing support of data, reporting, analytics, automation, and IT data self-service solutions for the Project Accounting department. This position will partner with Project Accounting leadership and users to identify business needs, translate requirements into practical solutions, and improve access to accurate, timely, and actionable project financial information. The Manager will support the department’s use of STV’s enterprise data lake and related reporting environments, including dashboards, operational reports, data quality controls, documentation, user training, and self-service analytics capabilities. The Project Data Analytics Solutions Manager will serve as a key liaison between Project Accounting and Operations, Finance, Corporate Accounting, Information Technology, and other business and shared-service groups. This role will help ensure that Project Accounting requirements, data definitions, reporting needs, controls, and downstream impacts are understood and incorporated into enterprise data and technology solutions. Responsibilities Lead the development, support, and continuous improvement of Project Accounting dashboards, operational and exception reports, analytical tools, and self-service data capabilities, including Power BI solutions spanning project financial performance, billing, revenue, costs, budgets, profitability, accounts receivable, work in progress, and project lifecycle activity. Serve as the primary Project Accounting business partner for data lake and reporting activities by defining business requirements, metrics, calculations, data definitions, business rules, user acceptance criteria, and drill-through reporting needs. Build and support reliable data models and reporting controls using enterprise-system and SQL-connected data; evaluate relationships, duplication, completeness, business logic, and downstream impacts; and maintain validation checks, reconciliations, aging analyses, and exception monitoring. Identify root causes and downstream impacts of data-quality issues and partner with appropriate owners to implement sustainable corrections. Partner with Information Technology, data engineering, enterprise applications, Operations, Finance, Corporate Accounting, project delivery teams, and shared-service groups to translate needs into sustainable solutions, resolve data issues, and support enterprise initiatives. Plan and coordinate integration, user acceptance, and business-scenario testing, including test scenarios, expected results, issue tracking, correction validation, implementation readiness, and Project Accounting participation. Identify and deliver automation opportunities using Power BI, Power Apps, Power…