BryceTech is seeking an experienced Data Strategy Manager to lead data strategy, analytics, visualization, reporting, data management, and decision-support activities for the U.S. Army Project Manager, Maneuver Medical Systems (PM M2S). The Data Strategy Manager will transform complex acquisition, logistics, programmatic, operational, and product-development data into actionable insights for Government leaders, Product Managers, Project Managers, engineers, acquisition professionals, and other stakeholders. This position combines strategic data management and analytics leadership with hands-on analytical capability. The successful candidate will establish practical approaches for integrating, organizing, analyzing, visualizing, and communicating data to improve acquisition decisions, stakeholder engagement, logistics/Bill of Materiel management, Basis of Issue analysis, program execution, and organizational knowledge management. Key Responsibilities Develop and execute data strategies that support M2S acquisition, product management, logistics, stakeholder engagement, and organizational decision-making Translate mission and business requirements into data, analytics, reporting, and visualization solutions Identify opportunities to use data to improve acquisition reform, logistics/Bill of Materiel management, stakeholder engagement, and authorizations/Basis of Issue analysis Gather, integrate, clean, validate, and preprocess large datasets from multiple Government and organizational sources Conduct exploratory data analysis to identify trends, patterns, anomalies, relationships, and areas requiring management attention Develop statistical models, data mining approaches, predictive models, and other analytical techniques to support Government decision-making Design and maintain dashboards, scorecards, reports, and executive-level data products Develop clear and compelling data visualizations that communicate complex relationships to technical and non-technical audiences Respond to ad-hoc analytical requests and rapidly develop custom reports and decision-support products Present analytical findings, implications, and recommendations to Product Managers, Project Managers, senior leaders, technical teams, and other stakeholders Establish data quality, validation, documentation, and governance practices appropriate to the M2S environment Contribute to development and improvement of M2S data infrastructure and analytics capabilities Collaborate with engineers, product managers, business analysts, logistics personnel, acquisition professionals, and other cross-functional teams to understand data requirements and deliver useful analytical solutions Provide subject matter expertise on data-related issues, analytical methodologies, data visualization, and data management Identify relationships among programmatic, acquisition, logistics, financial, schedule, risk, and product data to enable integrated decision support Develop analytical approaches to support forecasting, trend analysis, performance measurement, and program optimization Establish repeatable processes for data collection, transformation, analysis, reporting, and dissemination Maintain clear documentation of data sources, analytical methods, assumptions, models, code, and outputs Ensure analytical code is well documented and follows applicable M2S coding standards Support knowledge management by organizing, standardizing, tagging, and migrating relevant program information into Government-approved electronic document management environments Apply standardized file naming, metadata, document management, and information organization practices Support migration and archival of program data and documentation from network storage and other legacy repositories into appropriate electronic information management systems Develop schedules and processes for data/document migration and support continuity of institutional knowledge Participate in IPTs, WIPTs, working groups, program reviews, and other stakeholder engagements Provide technical input, briefing materials, executive summaries, and recommendations based on analytical findings Support integration of data across program, acquisition, logistics, systems engineering, and knowledge management activities Ensure data products and reports are accurate, timely, understandable, and fit for the intended decision-making purpose