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# Consultant - Financial Management (FM) Transformation - Defense & Security - Campus 2026

- **Company:** Guidehouse Inc.
- **Location:** McLean, VA, United States
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Information Systems, Data Visualization, Design of User Interfaces, Python (Programming Language), Scrum Methodology, Power BI, Standard Sql, Tableau (Software), Snowflake, Appian, Data Analytics, Low-code, Powerapps, Servicenow, Databricks
- **Published:** June 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d71880e807504ea2

## About the Role

Do you have experience in Schedule management?, Do you have a Master's degree?, * Must be able to obtain and maintain a Public Trust, Secret, or higher level of federal/government security clearance.

 * US Citizenship is required for security clearance
 * Completing a Bachelor's degree in business, finance, accounting, information systems, engineering, business analytics or a related field between fall 2025 and summer 2026 from an accredited college or university
 * Strong organizational and communication skills
 * Interest in growing a career in Government/Federal/Defense and National Security consulting
 * Ability to synthesize information quickly and learn new skills, view problems, apply a variety of analytical solutions, and participate in client-facing discussions and meetings
 * Ability to work in teams to produce high-impact work products, reports, and other deliverables in a fast-paced environment
 * Willingness to utilize project management best practices within an organization to produce high quality deliverables in a timely manner

What Would Be Nice To Have:

 * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance; or higher-level clearance
 * Master's degree preferably in Business Analytics
 * Certifications in Agile, Scrum, or project management (e.g., PMP, CSM, SAFe) and/or strong understanding of these concepts, or interest in obtaining these certifications
 * Experience analyzing data with Python, R, or SQL
 * Ability to develop insightful visualizations using Tableau, PowerBI or Qlick
 * Experience with change management or organizational design, especially in financial environments
 * Desire and ability to quickly develop overall technical skillset related to analytics and automation to apply and tailor to the specific needs of clients and the mission of their organizations

## Description

* Identifying and implementing process improvements over financial reporting tools and templates in coordination with team leads and using technology to improve financial reporting
 * Supporting transformative initiatives by collaborating with team members to partner with senior stakeholders to modernize financial processes through innovative solutions
 * Assessing existing business processes and procedures to identify pain points and areas for improvement. This includes coordination with process stakeholders to complete current-state assessments, review of relevant documentation to gain a thorough understanding, and evaluation and recommendation of future-state solutions
 * Assisting in creation of project plans to support the execution of end-to-end development efforts and ensuring that realistic timelines are set, communicated, and followed through barring any significant holdups
 * Communicating project task updates to senior-level executive clients on a regular basis and confirming shared understanding
 * Collaborating with senior team members to embed financial management standards into the design and development of solutions, ensuring alignment with federal financial policies, audit readiness, and operational integrity
 * Coordinating with other direct team members and/or building necessary skills to develop financial automation, data analytics, data visualization, and/or artificial intelligence (AI) capabilities for financial management use cases. This may include: building financial metrics and supporting dashboards utilizing data visualization software (i.e., Tableau, Power BI, etc.); building low-code applications and user interfaces (using PowerApps, Power Platforms, Appian, ServiceNow, etc); building AI models to process and analyze high volumes of structured and unstructured financial data (using Databricks, Snowflake, Palantir, Python, etc).


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