Data Strategy Manager

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 ResponsibilitiesDevelop and execute data strategies that support M2S acquisition, product management, logistics, stakeholder engagement, and organizational decision-makingTranslate mission and business requirements into data, analytics, reporting, and visualization solutionsIdentify opportunities to use data to improve acquisition reform, logistics/Bill of Materiel management, stakeholder engagement, and authorizations/Basis of Issue analysisGather, integrate, clean, validate, and preprocess large datasets from multiple Government and organizational sourcesConduct exploratory data analysis to identify trends, patterns, anomalies, relationships, and areas requiring management attentionDevelop statistical models, data mining approaches, predictive models, and other analytical techniques to support Government decision-makingDesign and maintain dashboards, scorecards, reports, and executive-level data productsDevelop clear and compelling data visualizations that communicate complex relationships to technical and non-technical audiencesRespond to ad-hoc analytical requests and rapidly develop custom reports and decision-support productsPresent analytical findings, implications, and recommendations to Product Managers, Project Managers, senior leaders, technical teams, and other stakeholdersEstablish data quality, validation, documentation, and governance practices appropriate to the M2S environmentContribute to development and improvement of M2S data infrastructure and analytics capabilitiesCollaborate with engineers, product managers, business analysts, logistics personnel, acquisition professionals, and other cross-functional teams to understand data requirements and deliver useful analytical solutionsProvide subject matter expertise on data-related issues, analytical methodologies, data visualization, and data managementIdentify relationships among programmatic, acquisition, logistics, financial, schedule, risk, and product data to enable integrated decision supportDevelop analytical approaches to support forecasting, trend analysis, performance measurement, and program optimizationEstablish repeatable processes for data collection, transformation, analysis, reporting, and disseminationMaintain clear documentation of data sources, analytical methods, assumptions, models, code, and outputsEnsure analytical code is well documented and follows applicable M2S coding standardsSupport knowledge management by organizing, standardizing, tagging, and migrating relevant program information into Government-approved electronic document management environmentsApply standardized file naming, metadata, document management, and information organization practicesSupport migration and archival of program data and documentation from network storage and other legacy repositories into appropriate electronic information management systemsDevelop schedules and processes for data/document migration and support continuity of institutional knowledgeParticipate in IPTs, WIPTs, working groups, program reviews, and other stakeholder engagementsProvide technical input, briefing materials, executive summaries, and recommendations based on analytical findingsSupport integration of data across program, acquisition, logistics, systems engineering, and knowledge management activitiesEnsure data products and reports are accurate, timely, understandable, and fit for the intended decision-making purpose