IT Project Manager

IT Project Manager

The Opportunity:
You know that effective data operations leaders sit at the intersection of mission needs, technical execution, and team enablement. We’re looking for a Data Operations and Engineering Lead who can guide a high‑performing team embedded with Army customers to help operationalize Army data within the Army Data Platform. In this role, you will oversee end‑to‑end data operations while ensuring the delivery, quality, and reliability of data pipelines, cleansing processes, engineering workflows, and platform operations that directly support Army mission outcomes.

As the lead for a team of data engineers, data operations specialists, and data architects, you will combine strong management skills with hands-on technical expertise. You will work side‑by‑side with customers to understand mission requirements, translate them into actionable engineering tasks, and ensure the data environment is secure, stable, and optimized for analytics, research, and AI workloads. You’ll serve as a trusted partner to Army stakeholders while driving continuous improvement, operational excellence, and forward‑looking technical strategy.

In addition to operational leadership, you’ll help shape the roadmap for data integration, data quality, lineage, and automation across the Army Data Platform. You’ll move quickly in a dynamic environment to triage issues, prioritize work, guide Agile ceremonies, and implement metrics to monitor data health and operational performance. Your ability to bring together people, processes, and technology will make a tangible difference in delivering trusted, mission‑ready data.

Work with us to strengthen the Army’s data foundation and accelerate the future of mission-driven analytics and AI.

Join us. The world can’t wait.

You Have:

• 8+ years of experience leading data operations or data engineering teams, including oversight of ETL/ELT pipelines, data cleansing, transformation, and data orchestration processes
• 8+ years of experience partnering with government organizations and senior Army stakeholders and managing dispersed, cross‑functional technical teams, including engineers, architects, subcontractors, and analysts
• 8+ years of experience supporting the design, development, and operation of enterprise data platforms or large‑scale analytics ecosystems
• Experience troubleshooting and guiding engineering teams through issues related to data pipelines, schema management, data quality, API integrations, and workflow automation
• Experience using client relationships, acquisition knowledge, and mission understanding to shape strategy, define scope, develop ROMs, and deliver high‑confidence execution plans for Army programs
• Knowledge of Agile methodologies as applied to complex data engineering and research workloads
• Knowledge of data quality, governance standards, security considerations, and best practices to ensure accuracy, integrity, and compliance across Army data assets
• Ability to recruit, hire, and develop high‑performing data engineering and operations teams, manage large programs, and interface with senior DoD clients
• Ability to obtain a Secret clearance
• Bachelor’s degree

Nice If You Have:

• Experience improving and automating data operations workflows, monitoring, and processes
• Experience with enterprise data platforms such as Palantir Foundry
• Knowledge of Microsoft Office products, including project management tools such as Microsoft Project
• Ability to rapidly learn new technologies, including low‑code/no‑code tools and open-source data engineering frameworks
• Ability to effectively communicate technical and operational concepts to a wide range of stakeholders
• Bachelor’s degree in Computer Science, Engineering, or Mathematics preferred; Master's degree in Computer Science, Engineering, or Mathematics a plus
• Project Management Professional (PMP) or CompTIA Security+ Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.