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Data Strategy Manager
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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