Data Manager, Senior

Booz Allen Hamilton•Alexandria, VA

1d•$99,000 - $225,000•Onsite

About The Position

The Senior Data Manager manages all aspects of product engineering activities, including hardware, software, automation, and IT. The role applies advanced advisory skills or extensive technical expertise and full industry knowledge to develop innovative solutions to complex problems. The employee works without considerable direction, mentors team members, and may supervise them. The position is based in Alexandria, Virginia, and is not listed as remote. Applicants must hold an active TS/SCI clearance and be willing to take a polygraph exam. The role requires experience in people management, technical project management, quantitative analysis, data manipulation and ETL, database and pipeline management, cloud architectures, and large geospatial data. The posting describes Booz Allen benefits and a projected annual compensation range of $99,000 to $225,000.

Requirements

Experience with people management.
Experience with technical project management, independently initiating and driving projects to completion, and solving strategic problems.
Experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights.
Experience with data manipulation and extract, transform, and load procedures.
Experience managing databases and data pipelines and working with cloud architectures.
Experience working with large, complex geospatial data files and formats.
Knowledge of database technologies.
Active TS/SCI clearance and willingness to take a polygraph exam.
One of the following: high school diploma or GED and 10+ years of technical project management experience; bachelor's degree and 7+ years of technical project management experience; or master's degree and 5+ years of technical project management experience.

Nice To Haves

Experience using Agile and SAFe methodologies.
Experience with enterprise technology systems, such as CORE and MLOps.
Experience working with AI/ML technologies applied to geospatial data.
Excellent communication and keen problem-solving skills.
GEOINT Professional – Fundamentals (F) Certification.

Responsibilities

Manage product engineering activities across hardware, software, automation, and IT.
Initiate and drive technical projects to completion and solve strategic problems.
Conduct quantitative analysis, develop visualizations, and process complex data to create data-driven insights.
Perform data manipulation and extract, transform, and load procedures.
Manage databases and data pipelines and work with cloud architectures.
Work with large, complex geospatial data files and formats.
Develop innovative solutions to complex problems.
Mentor and potentially supervise team members.