Risk & Integrity Insights Specialist, Lead
We are expanding and evolving our risk and integrity intelligence capabilities to help identify and act on risk earlier, informed by ethics and culture signals. This role will play a central part in advancing how risk is understood and managed enhancing and connecting existing capabilities to deliver more integrated and decision-oriented insight.
As the Risk & Integrity Insights Lead, you will scale and strengthen a more integrated and cross-functional capability supporting Ethics, Compliance, Investigations, Employment Law, and Enterprise Risk Management, enabling a more connected view of risk and integrity trends across LEC programs.
Today, valuable data and signals exist across systems and teams, offering important perspectives on risk, ethics, and culture. You will advance how these elements are connected and analyzed enhancing integration, deepening insight, and enabling earlier identification of emerging risks while generating clear, decision-oriented intelligence for leadership and governance forums. This is an expand-and-evolve role requiring strong judgment, cross-functional leadership, and the ability to translate complex information into clear and actionable insight. Success in this role requires thoughtful judgment, clear communication, and the ability to manage sensitive information responsibly. Due to the nature of work performed in the facility for this position, U.S. citizenship is required.
Drive the expansion and evolution of our risk and integrity intelligence capability, advancing a more integrated, cross-functional approach across Ethics, Compliance, Investigations, Employment Law, and Enterprise Risk Management.
Implement the end-to-end insight strategy, framing priority risk questions and delivering decision-oriented insights that enhance leadership visibility into risk, ethics, and culture.
Advance the integration of existing data and signal sources into a more connected analytical ecosystem across risk, ethics, and culture.
Develop and refine analytical approaches to identify patterns, signals, and behavioral indicators that surface emerging risks and early warning signs.
Enable a shift from reactive investigation to proactive risk identification, building on current capabilities to surface early warning signals across risk, ethics, and culture and translates them into clear, actionable insights.
Shape how risk is defined, measured, and applied, advising stakeholders on metrics, methodologies, and analytical priorities.
Partner with internal analytics and data teams to scale data integration and insight generation to create clear, visually compelling outputs for senior leaders and governance forums.
Identify risks earlier and understand the underlying ethics and culture patterns, distinguishing systemic issues from isolated events, driving them across Ethics, Compliance, Risk, and Legal.
Make more informed, forward-looking decisions on investigations, employment matters, enterprise risk, and ethics and compliance program effectiveness.
Connect existing data and signal sources into a cohesive, enterprise-wide view of risk.
Join us. The world can’t wait.
5+ years of experience building or scaling analytics, intelligence, or insight capabilities in complex environments
5+ years of experience working with unstructured data and techniques, such as NLP or large language models
Experience advising stakeholders and shaping analytical approaches to business or risk challenges
Experience with stakeholder engagement and influencing skills across legal, compliance, risk, and business teams
Experience creating clear and compelling visualizations and executive-level briefings
Experience working with sensitive data in regulated or high-trust environments
Ability to structure ambiguous problems and translate analysis into actionable recommendations
Ability to demonstrate the application of statistical and analytical methods
Bachelor’s degree
Experience in legal, compliance, risk, or investigations environments
Experience working across multiple business domains or enterprise functions
Experience defining or working with early risk signals or predictive analytics approaches
Experience leading cross-functional analytics or data initiatives
Knowledge of enterprise data platforms and data architecture concepts
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, 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.
