Financial Systems and Data Manager

The Financial Systems and Data Manager at Significance plays a critical role in supporting financial operations by overseeing various systems such as Oracle EPM, ECWM, and DAI. This position is responsible for providing analyses, customer support, and ensuring compliance throughout the billing and collections process while leveraging modern tools like machine learning and robotic process automation.

To be considered for the Financial Systems and Data Manager role at Significance, applicants typically need a bachelor's degree in Management Information Systems or a related field, along with at least 5 years of experience in Department of Defense systems. An active Secret security clearance and certifications like CISA or CISM are also preferred.

Applying for the Financial Systems and Data Manager position at Significance means joining a renowned consulting firm dedicated to employee well-being. You'll be part of a team that values innovation and teamwork, and you'll be contributing to meaningful projects that have a direct impact on national security and government efficiency.

At Significance, the work environment is collaborative, supportive, and most importantly, fun! As a Financial Systems and Data Manager, you will be part of a diverse team that celebrates successes together and promotes a culture of respect and innovation within the financial consulting space.

As a Financial Systems and Data Manager at Significance, you will handle various projects related to financial analytics, optimization of billing processes, and the implementation of collaborative tools like Advana to ensure high-quality data management and support for budget execution processes.

Yes, prior experience with the Defense Agencies Initiative (DAI) accounting system is essential for candidates applying for the Financial Systems and Data Manager role at Significance, as it ensures familiarity with the systems and processes you will be managing.

Significance offers a comprehensive benefits package to its Financial Systems and Data Manager employees, which includes competitive salaries based on local benchmarks, health benefits, retirement plans, and opportunities for professional development in a workplace recognized as both inclusive and innovative.

When asked about your experience with Oracle EPM in an interview, highlight specific projects where you've used the platform to improve financial reporting or analytics. Discuss how Oracle EPM's capabilities allow for streamlined data integration and increased accuracy in budget management.

In your response, emphasize the importance of regular data audits, implementing best practices for data entry, and using analytics tools to identify trends. You can talk about your approach to continuous improvement and how you plan to utilize tools like Advana to monitor and enhance data quality.

To answer this, detail your hands-on experience with DAI, focusing on how you've navigated its functionalities in previous roles. Mention specific tasks you've undertaken and how you have contributed to improved budget execution and financial oversight through DAI.

Discuss your understanding of RPA and its applications within financial systems. Focus on identifying repetitive tasks that could be automated to save time and reduce human error, showcasing your problem-solving and analytical skills.

Address this by mentioning methodologies you use during upgrades, such as establishing a clear communication plan, user training, and pilot testing. Stress the importance of stakeholder involvement and feedback to maintain system integrity and user satisfaction.

In your response, highlight your familiarity with relevant regulations such as the Federal Acquisition Regulation (FAR) and the significance of administrative controls in financial reporting. Provide examples of how you have ensured compliance in prior roles.

Talk about specific tools you've leveraged, like Tableau or Power BI, and how they contribute to hands-on analysis and reporting in your work. Share your experiences where these tools have enhanced decision-making processes.

Provide a concrete example, detailing the project scope, your role, and how machine learning models improved forecasting accuracy or efficiency in financial operations.

Describe your systematic approach towards billing and collection, emphasizing routine audits, timely follow-ups, and leveraging technology to streamline these processes while ensuring accountability.

Emphasize your belief in open communication, recognition of individual contributions, and the importance of team collaboration. Share any experiences from leading teams that created a supportive and productive culture.