Lesson Learned Analyst

Lesson Learned Analyst

The Opportunity:

Provide SME support to drive the U.S. Cyber Command (USCYBERCOM) Lessons Learned Program forward with the implementation of lessons learned into a variety of Command operations, training, and staff initiatives. Assist USCYBERCOM-assigned forces to track, elevate, and resolve observations and issues across the Command and subordinate components to build a culture of continuous improvement at the strategic and operational levels of cyberspace operations. Train Command personnel on the lessons learned process and tools. Serve as advisors and integrators in the pursuit of positive change throughout the cyberspace operations domain. Review, validate, and publish joint lessons learned information into appropriate platforms. Monitor and report progress for issue resolution and disseminate reports and other products to the larger community. Provide recommendations to the client regarding strategy, doctrine, tactics, techniques, and procedures for the joint employment of cyberspace operations forces.

You Have:

• 4+ years of experience working for or supporting a Combatant Command, Joint Force Headquarters, Joint Task Force, Joint Duty Assignment, Cyber Mission Force team, or Intelligence Community organizations

• 2+ years of experience interacting with and providing briefs to senior leaders

• Experience using the Microsoft Office tool suite

• Experience supporting data gathering using various techniques, including working groups, interviews, and surveys

• Ability to work independently and develop plans of action in support of identified goals

• Ability to create clear, concise, and solution-oriented reports for a variety of audiences at varying levels of detail

• Active TS/SCI clearance; willingness to take a polygraph exam

• Bachelor's degree

Nice If You Have:

• Experience working with Lesson Managers or supporting a Lessons Learned program within the Department of Defense

• Experience with training, in a training environment, or at a programmatic level, such as working on training standards or developing training pipelines

• Experience in Business Administration, Business Process Engineering, Systems Engineering, Computer Information Systems, or related work, including lifecycle planning and requirements analysis

• Ability to look at a problem analytically and form recommendations to address issues or craft plans of action for further evaluation

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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 $86,900.00 to $198,000.00 (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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.