The Opportunity:  

On our team, you’ll build and maintain actionable and automated Tableau dashboards, alerts, data models, data queries, and other data solutions for internal and client-facing business leaders. We partner with teams across the organization on initiatives that drive strategy, improve enterprise reporting capabilities, and accelerate our adoption of modern data and AI technologies. Our solutions evolve continuously to meet emerging business priorities, with growing emphasis on AI-assisted development, Databricks-based data engineering, and scalable analytics platforms.

This is a highly visible technical lead role. You will set the technical direction for enterprise data products, guide the day-to-day work of analysts and engineers, and partner with senior leaders on decisions related to contracts, staffing, risk mitigation, and more. You will remain hands-on with a focus on designing models, building in Databricks, and owning complex delivery, while coaching others and raising the quality bar across the team. You’ll have an opportunity to make a measurable and meaningful impact on the success of our company by building innovative, AI-enabled data solutions that leaders rely on daily.

In this role, you will develop partnerships with business leaders to understand, document, prioritize, and solve company-wide reporting requirements. Equipped with communication, technical leadership, project management, data modeling, and data visualization expertise, you will collaborate with and guide data scientists and data engineers to transform disparate data sources into meaningful insights. You will set standards for how we use Databricks and other advanced analytics tools to refine pipelines, automate workflows, and enhance the performance and reliability of enterprise data products. You’ll also own existing dashboards and reporting assets and will be updating, troubleshooting, and enhancing them as business needs evolve.

We are a growing team transforming Booz Allen—we are paving the way for enterprise reporting while infusing more advanced analytics, AI innovation, Databricks-driven automation, and modern data engineering practices into internal business operations. This is a highly collaborative role that requires critical thinking, creative problem-solving, sound judgment under ambiguity, and a can-do attitude when faced with complex analytical challenges. Due to the nature of work performed within this facility, U.S. citizenship is required.

What You’ll Work On

• Serve as the technical lead for enterprise dashboards, data models, and Databricks workflows, and set design patterns, quality standards, and review practices for the team.
• Remain hands-on, own complex dashboards and data models, and update, troubleshoot, and enhance them as needs change.
• Use Databricks and related tools to refine pipelines, automate workflows, and build notebooks that feed enterprise data products, and guide others in doing the same.
• Mentor and provide day-to-day technical directions to analysts and engineers, including work review, coaching, and helping prioritize delivery.
• Partner with leaders to document, prioritize, and deliver company-wide reporting needs, and translate executive asks into a sequenced technical plan.
• Collaborate with data scientists and engineers to turn disparate sources into actionable, production-grade insights.
• Drive adoption of AI-assisted development and modern analytics practices across the team’s delivery model.

Join us. The world can’t wait.  

You Have

• 5+ years of experience with reporting or BI tools, including building dashboards in Power BI or Tableau
• 5+ years of experience with data modeling and building workflows in Databricks or Alteryx
• Experience with Databricks, including building notebooks that support production dashboards and data products
• Experience serving as a technical lead on reporting, BI, or data-engineering delivery
• Ability to work independently, lead through influence, and collaborate with cross-functional teams
• Ability to ensure data accuracy and quality, and to raise those standards across a team
• Ability to adapt to changing needs, manage competing priorities, and explain technical concepts to non-technical stakeholders
• Knowledge of AI tooling and experience applying AI-assisted methods to analytics or data engineering work
• Bachelor’s degree

Nice If You Have

• Experience defining Databricks or enterprise-analytics patterns, such as notebooks, jobs, environments, access, and reliability practices
• Experience presenting to senior stakeholders and influencing without formal authority
• Possession of excellent analytical and problem-solving skills
• Master’s degree in a related field

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.

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.