Data Manager, Senior

Booz Allen Hamilton•Alexandria, VA
•$99,000 - $225,000

About The Position

The Senior Data Manager manages product engineering activities across 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 requires an active TS/SCI clearance, and selected applicants may be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Requirements

  • Experience with people management.
  • Experience with technical project management, independently initiating and driving projects to completion, and solving strategic problems.
  • Experience performing 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 education and experience combinations: high school diploma or GED and 10 or more years of technical project management experience; bachelor's degree and 7 or more years; or master's degree and 5 or more years.

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 involving hardware, software, automation, and IT.
  • Develop innovative solutions to complex problems.
  • Mentor team members and potentially supervise them.
  • Initiate and drive technical projects independently through completion.
  • Perform quantitative analysis, develop visualizations, and process complex data to produce data-driven insights.
  • Manage databases and data pipelines, including data manipulation and extract, transform, and load procedures.

Benefits

  • Health, life, and disability benefits.
  • Financial and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards for exceptional performance and demonstration of company values.
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