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Dice.com | BryceTech | ClearanceJobs.com | eFinancialCareers

Data Strategy Manager

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Job Description

Data Strategy Manager

Skills

  • Aerospace
  • Advanced Analytics
  • Research and Development
  • Innovation
  • Partnership
  • Preventive Maintenance
  • Project Management
  • Performance Management
  • Stakeholder Engagement
  • Collaboration
  • Finance
  • Decision Support
  • Forecasting
  • Trend Analysis
  • Optimization
  • Organizational Skills
  • Documentation
  • Network
  • Storage
  • Migration
  • Systems Engineering
  • Decision-making
  • Security Clearance
  • Mathematics
  • Information Systems
  • Data Analysis
  • Business Intelligence
  • Data Collection
  • Visualization
  • Reporting
  • Problem Solving
  • Conflict Resolution
  • Data Management
  • Data Quality
  • Microsoft Excel
  • Microsoft Office
  • Data Visualization
  • Microsoft Power BI
  • Tableau
  • SQL
  • Python
  • R • Communication • Analytical Skill • Data Science • Statistics • Computer Science • Operations Research • Business Analytics • Product Management • Acquisition • Logistics • Management •
SAP BASIS
  • Product Development
  • Predictive Analytics
  • Machine Learning (ML)
  • Data Mining
  • Statistical Models
  • Performance Metrics
  • Dashboard
  • DoD
  • Microsoft SharePoint
  • Knowledge Management
  • Document Management
  • HIPAA
  • Information Management
  • Data Governance
  • Meta-data Management
  • Leadership
  • PMP
  • Microsoft
  • Analytics
  • Insurance
  • Aerospace
  • Advanced Analytics
  • Research and Development
  • Innovation
  • Partnership
  • Preventive Maintenance
  • Project Management
  • Performance Management
  • Stakeholder Engagement
  • Collaboration
  • Finance
  • Decision Support
  • Forecasting
  • Trend Analysis
  • Optimization
  • Organizational Skills
  • Documentation
  • Network
  • Storage
  • Migration
  • Systems Engineering
  • Decision-making
  • Security Clearance
  • Mathematics
  • Information Systems
  • Data Analysis
  • Business Intelligence
  • Data Collection
  • Visualization
  • Reporting
  • Problem Solving
  • Conflict Resolution
  • Data Management
  • Data Quality
  • Microsoft Excel
  • Microsoft Office
  • Data Visualization
  • Microsoft Power BI
  • Tableau
  • SQL
  • Python
  • R • Communication • Analytical Skill • Data Science • Statistics • Computer Science • Operations Research • Business Analytics • Product Management • Acquisition • Logistics • Management •
SAP BASIS
  • Product Development
  • Predictive Analytics
  • Machine Learning (ML)
  • Data Mining
  • Statistical Models
  • Performance Metrics
  • Dashboard
  • DoD
  • Microsoft SharePoint
  • Knowledge Management
  • Document Management
  • HIPAA
  • Information Management
  • Data Governance
  • Meta-data Management
  • Leadership
  • PMP
  • Microsoft
  • Analytics
  • Insurance
  • Summary Company Description BryceTech is a trusted leader in complex technology domains, delivering data-driven solutions in aerospace, biosecurity, and defense. We specialize in systems engineering, advanced analytics, R D programs, and strategic advisory support. Our clients
  • including NASA, DoD, HHS, DHS, and other civil and national security agencies
  • rely on us to drive mission success and accelerate innovation.

BryceTech has been recognized in the Washington Technology Fast 50 ranking of top high-growth small businesses for five consecutive years and received a GovCon Contractor of the Year Award in 2025, underscoring our strong growth, competitive positioning, and excellence in federal contracting. With a proven track record of winning sought-after contracts, scaling high-performance teams, and executing on critical government missions, BryceTech presents a compelling opportunity for strategic partnerships in the GovCon space. Job Description 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 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
  • 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.

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