Chief Data Analytics Officer Nf5

U.S. Marine Corps•Quantico, VA

11h

About The Position

Marine Corps Community Services (MCCS) seeks a Chief Data Analytics Officer to support the Deputy Director and Chief Information Officer (CIO), and indirectly support the CEO on special projects. The role applies investigative and fact-finding techniques, data analytics, forecasting, statistical and data modeling, statistical methods, software, programming, and systems integration to analyze data and inform decisions. The officer communicates findings to executives and senior leadership and helps align financial analyses with business requirements and strategic objectives across regional and installation communities. The position serves as an expert coordinating information and analytics efforts with MCCS leadership, including the Deputy Director CIO and CEO/Director of Business and Support Services. It supports the development and implementation of business analytics and artificial intelligence solutions in compliance with Department of War, Department of Navy, and Office of the Secretary of Defense policies and programs. The officer prepares briefings, reports, presentations, and written responses to external inquiries, including Congressional inquiries and other taskings. The role uses advanced statistical techniques to forecast sales, demand, and inventory needs; conduct sensitivity analysis, scenario planning, and risk assessment; support pricing and promotional strategies; and identify financial and operational indicators. Work may involve data extraction, statistical and machine-learning analysis, data engineering, visualization, cost-benefit analysis, program evaluation, survey oversight, data storage and retrieval procedures, and spatial data analysis. The schedule may fluctuate to accommodate assignments outside typical work hours, and travel may be required.

Requirements

Ten years of executive experience leading enterprise-scale data and analytics organizations or programs.
Demonstrated experience establishing and operating enterprise data governance.
Demonstrated experience applying advanced analytics, artificial intelligence, predictive analytics, or related capabilities.
Knowledge or skills in algorithms, investigative and fact-finding techniques, artificial intelligence, big data, computer science, data analytics, data modeling, data governance, data visualization, machine learning, mathematics, optimization, programming languages, simulation, and statistical methods.
Strong understanding of statistical concepts and methodologies.
Proficiency in regression analysis, time-series analysis, hypothesis testing, experimental design, and multivariate analysis.
Proficiency in programming languages used for statistical modeling, such as R, Python, STATA, or SAS.
Knowledge of data manipulation, visualization, and modeling packages or libraries.
Knowledge of business operations, particularly retail operations, and the theories, principles, and practices needed to plan, develop, and implement strategies across Marine Corps Exchanges, Marine Corps Hospitality Services, and MCCS.
Ability to think critically, propose creative solutions, and adapt modeling approaches to different scenarios.
Knowledge of MCCS missions, functions, and programs sufficient to advise on the effects of legislation, policies, regulations, procedures, processes, systems, and business partners on initiatives and their relationship to Marine Corps, DoD activities, and private industry.
Ability to communicate findings orally and in writing.
Resume must not exceed two pages.
Successful completion of a National Agency Check and Inquiries (NACI) is required for employment.
Direct deposit of total net pay is mandatory for MCCS appointments.

Responsibilities

Provide direct support to the Deputy Director and Chief Information Officer in data analytics, forecasting, statistical and data modeling, programming, and systems integration.
Provide indirect support to the CEO on special projects at the CEO’s discretion.
Communicate analytical findings orally and in writing to executives and senior leaders.
Facilitate relationships between MCCS leadership and regional and installation communities, understand business requirements, and align financial analyses with strategic objectives.
Coordinate information and efforts related to business analytics and artificial intelligence solutions with senior leadership, ensuring compliance with applicable DoW, DoN, and OSD policies and programs.
Brief MCCS leadership on emerging issues, current efforts, critical issues, and anticipated problems.
Coordinate and prepare information, briefings, and presentations for senior management officials.
Prepare reports and documentation on MCCS operations and written responses to external inquiries, including Congressional inquiries and taskings.
Apply advanced statistical techniques and models, including forecasting sales, demand, and inventory needs.
Conduct sensitivity analysis, scenario planning, and risk assessments to support strategic decisions.
Collaborate with marketing and business operations directorates on pricing strategies and promotional activities.
Collaborate with data scientists in the financial management directorate on required efforts, plans, and analysis.
Identify financial and operational business indicators and develop reports and white papers to support decisions.
Advise on automation opportunities and analyze data sources to identify insights and improve business processes.
Evaluate line-program operations against established goals and objectives.
Combine, analyze, and interpret complex datasets to develop data-driven organizational solutions.
Conduct data extraction, regression and statistical analysis, modeling, machine learning, data engineering, mathematical programming, auto coding, and data visualization.
Define measurements, determine methods for collecting quantitative information, and explore data to identify trends and insights.
Develop lifecycle cost analyses, cost-benefit analyses, and economic evaluations of current or projected programs.
Develop statistical software and computer programs for analyzing data and findings.
Establish data storage, retrieval, classification, coding, and dissemination procedures and systems.
Identify data needed for program management and direction, and plan and oversee surveys.
Prepare reports using machine-learning, programming, and data-visualization skills, and convey information using existing and new data sources appropriate to the audience.
Use spatial data types to conduct analysis.
Travel as needed and work a fluctuating schedule, including outside typical work hours, to complete assignments.