Data Strategy Manager

BryceTech•Frederick, MD

2d•$150,000 - $190,000

About The Position

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.

Requirements

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

Nice To Haves

Master’s degree in Data Science, Statistics, Computer Science, Operations Research, Engineering, Business Analytics, or a related discipline
Prior Army, DoD, Federal Government, or defense-industry experience
Experience supporting DoD acquisition, product management, logistics, medical materiel, or defense systems
Experience applying analytics to acquisition reform, logistics, Bill of Materiel management, Basis of Issue, force structure, or product development
Experience with predictive analytics, machine learning, data mining, and statistical modeling
Experience developing data-driven performance metrics and executive dashboards
Experience with Army/DoD enterprise data environments and systems
Familiarity with Microsoft Teams and SharePoint-based information management environments
Experience with knowledge management and enterprise document management
Experience working with CUI, PII, HIPAA, or other Government-sensitive information in accordance with applicable security and information-management requirements
Experience integrating data from multiple systems of record
Experience establishing data governance, data standards, metadata structures, or data dictionaries
Experience supporting senior Government leadership briefings and decision packages
PMP, CAP, INFORMS, Microsoft, or comparable analytics/data certification

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 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