Data Strategy Manager

• Compensation: USD 150,000 - USD 190,000 - yearly

Bryce Tech 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.

Bryce Tech has been recognized in the Washington Technology Fast 50 ranking of top high-growth small businesses for five consecutive years and received a Gov Con 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, Bryce Tech presents a compelling opportunity for strategic partnerships in the Gov Con space.

Bryce Tech 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…