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Digital Development and Integration Lead

Systems Planning and Analysis, Inc.
United States, D.C., Washington
May 02, 2026
Overview

Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.

The Strategic Division (SD) supports high-reliability organizations including Navy Strategic Systems Programs (SSP), Air Force Nuclear Weapons Center, and the Department of Energy (DOE), among others. Our support across our client base is expanding rapidly and encompasses important services, such as data analytics and visualization, threat analysis, risk management, modeling and simulation, cost estimating, earned value management, program management, system engineering, independent evaluation, and High Consequence Event prevention.

SPA's Strategic Division's Strategic Development Group (SDG) supports critical U.S. government programs providing Systems Engineering support, Systems Safety support and Financial Analysis support. SDG is hiring immediately for a Digital Development and Integration Lead at Maritime Plaza in Washington, D.C.

At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Washington D.C. Pay Transparency Salary range: $140,000 - $160,000


Responsibilities

The Digital Development and Integration Lead will lead the development and implementation of various data tools and road-maps for maturing digital and AI tools across SDG, to include deploying open-source and client led tools and developing the digital infrastructure to support the delivery of these capabilities.

For our clients, the lead will work with SDG program managers to ensure tool development aligns with client needs and use cases. Internally to SDG, the lead will play a key role in the automation of business processes and work-flows and the establishment of information sharing and collaboration portals.


Qualifications

Required Qualifications:

  • Ability to work at Maritime Plaza in Washington D.C.
  • U.S. Citizen with DoD security clearance or the ability to obtain and maintain clearance.
  • Bachelor's degree in a relevant field.
  • 5-7 years leading digital tool development, integration, and AI adoption, including ETL challenges and solutions.
  • Experience developing tools in data-science-focused languages (e.g., Python, R) and using Jupyter, Anaconda, RStudio, plus working with SQL and NoSQL databases.
  • Ability to translate ambiguous requirements into concrete plans and deliverables.
  • Comfortable interfacing with and integrating client, business, and technical stakeholders.

Desired Qualifications:

  • Master's degree in a relevant field.
  • Experience leading teams in core data science work, including descriptive/exploratory analysis, data visualization, statistical inference, and predictive modeling using machine learning.
  • Professional knowledge of cross-disciplinary analytical methods and techniques (e.g., optimization, stochastic simulation) to optimize systems and processes.
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