Senior Data Strategy Manager for DoD Programs

BryceTech LLC; Frederick, Northern (MD, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

BryceTech is seeking an experienced Data Strategy Manager to lead data strategy, analytics, visualization, reporting, data management, and decision-support for the Army PM M2S. Translate complex data into actionable insights for government leaders, PMs, engineers, and analysts.

The role blends strategic leadership with hands-on analytics, establishing practical data approaches to improve acquisition decisions, logistics, governance, and knowledge management across cross-functional teams.

Qualifications

• Active DoW secret clearance or above.
• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Operations Research, Information Systems, Business Analytics, or a related discipline
• 8+ years of progressive experience in data analytics, data science, business intelligence, data strategy, operations research, or a related field
• Demonstrated experience translating complex data into actionable recommendations for senior decision-makers
• Demonstrated experience with data collection, cleansing, transformation, analysis, visualization, and reporting
• Strong knowledge of statistical analysis and quantitative problem-solving methods
• Experience developing dashboards, reports, and executive-level data visualizations
• Experience working with large, heterogeneous datasets from multiple sources
• Demonstrated ability to communicate analytical findings to both technical and non-technical audiences
• Strong understanding of data management, data quality, metadata, information organization, and data governance principles
• Demonstrated ability to work collaboratively with engineers, product/program managers, analysts, and business stakeholders
• Experience developing repeatable analytical processes and documenting methodologies and assumptions
• Proficiency with Microsoft Excel and other Microsoft Office applications
• Experience with data visualization and analytics tools such as Power BI, Tableau, or comparable platforms
• Experience with SQL and at least one analytical/programming language such as Python or R.
• Strong written and oral communication skills
• Ability to work independently and manage multiple analytical priorities simultaneously

Responsibilities

• Develop and execute data strategies to 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
• 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

Skills

Security clearance

Communication

Independent work

Education

Bachelor’s degree in Data Science/Statistics/CS/Engineering/OR related

Master’s degree (Preferred)

Tools

Power BI

Tableau

SQL

Python

R

Job description

BryceTech is seeking an experienced Data Strategy Manager to lead data strategy, analytics, visualization, reporting, data management, and decision-support for the Army PM M2S. Translate complex data into actionable insights for government leaders, PMs, engineers, and analysts.

The role blends strategic leadership with hands-on analytics, establishing practical data approaches to improve acquisition decisions, logistics, governance, and knowledge management across cross-functional teams.