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Mis Executive Jobs in Springfield, VA (NOW HIRING)

Senior Program Manager

Falls Church, VA

$123K - $124K/yr

In this high-impact role, you will bridge the gap between executive strategy and hands-on execution ... Degree: Bachelor's degree in computer science, Management Information Systems (MIS), Human ...

Senior Program Manager

Falls Church, VA · On-site

$123K - $124K/yr

In this high-impact role, you will bridge the gap between executive strategy and hands-on execution ... Degree: Bachelor's degree in computer science, Management Information Systems (MIS), Human ...

Senior Program Manager

Falls Church, VA · On-site

$123K - $124K/yr

In this high-impact role, you will bridge the gap between executive strategy and hands-on execution ... Degree: Bachelor's degree in computer science, Management Information Systems (MIS), Human ...

Network Engineer

Washington, DC · On-site

$104K - $166K/yr

Build and orchestrate secure Video Teleconferencing (VTC) for senior executive leadership, managing end-to-end call architecture, QoS, encryption synchronization, and real-time troubleshooting

Build and orchestrate secure Video Teleconferencing (VTC) for senior executive leadership, managing end-to-end call architecture, QoS, encryption synchronization, and real-time troubleshooting

Build and orchestrate secure Video Teleconferencing (VTC) for senior executive leadership, managing end-to-end call architecture, QoS, encryption synchronization, and real-time troubleshooting

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Showing results 1-20

Mis Executive information

See Springfield, VA salary details

$27.7K

$97.7K

$192.2K

How much do mis executive jobs pay per year?

As of Jul 29, 2026, the average yearly pay for mis executive in Springfield, VA is $97,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $125,900.00 per year, depending on experience, location, and employer.

What are MIS Executives?

MIS Executives, or Management Information System Executives, are professionals responsible for managing and analyzing data to support decision-making in an organization. They collect, process, and maintain data using various software tools, create reports, and ensure data accuracy. MIS Executives often work closely with management teams to provide insights and help optimize business processes. Their role is crucial in transforming raw data into actionable information for effective business operations.

What are the key skills and qualifications needed to thrive as an MIS Executive, and why are they important?

To thrive as an MIS Executive, you need strong analytical skills, proficiency in data management, and a bachelor's degree in information technology, computer science, or a related field. Familiarity with database management systems, advanced MS Excel, and reporting tools like SAP or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for this position. These skills are essential for ensuring accurate data analysis, efficient reporting, and informed decision-making within an organization.

What is the difference between Mis Executive vs Data Analyst?

AspectMis ExecutiveData Analyst
Required CredentialsDiploma or Bachelor's in Business, IT, or related fieldsBachelor's or Master's in Statistics, Computer Science, or related fields
Work EnvironmentOffice setting, handling data entry, report generation, and administrative tasksOffice or remote, analyzing data, creating reports, and interpreting trends
Employer & Industry UsageBusinesses, IT firms, and corporate officesFinance, marketing, healthcare, and tech industries

The Mis Executive primarily focuses on data management, report preparation, and administrative support within organizations. In contrast, Data Analysts analyze complex data sets to derive insights and support decision-making. While both roles involve working with data, Mis Executives tend to handle more administrative and operational tasks, whereas Data Analysts focus on data interpretation and analysis.

What are some common challenges faced by an MIS Executive, and how can they be overcome?

MIS Executives often encounter challenges such as managing large volumes of data, ensuring data accuracy, and delivering timely reports to various departments. Coordinating with different teams to gather consistent and complete information can sometimes be difficult due to varying data formats or reporting standards. To overcome these challenges, it's helpful to develop strong communication skills, establish clear data protocols, and stay updated on the latest data management tools. Proactively collaborating with IT and business teams can streamline processes and improve overall data quality.

What is MIS executive salary?

The salary of an MIS Executive typically ranges from $30,000 to $60,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced professionals with skills in data analysis and reporting tools can earn higher salaries.

What do MIS executives do?

MIS executives are responsible for managing and analyzing an organization's management information systems to support business operations and decision-making. They oversee data collection, system implementation, and maintenance, often using tools like ERP and database management software. Strong analytical skills and knowledge of IT infrastructure are essential for this role.

What jobs pay $500,000 a year in the US?

For a Management Information Systems (MIS) Executive, high-paying roles such as Chief Information Officer (CIO), Chief Technology Officer (CTO), or senior IT executives can reach or exceed $500,000 annually, especially in large corporations. These positions typically require extensive experience, advanced technical skills, leadership abilities, and often involve overseeing enterprise technology strategies and cybersecurity. Compensation may include base salary, bonuses, stock options, and other incentives.

Are MIS jobs in high demand?

Management Information Systems (MIS) jobs are in high demand due to the increasing reliance on data management, cybersecurity, and technology integration in organizations. Professionals with skills in database management, systems analysis, and certifications like Cisco or Microsoft are particularly sought after across various industries.
What are the most commonly searched types of Mis jobs in Springfield, VA? The most popular types of Mis jobs in Springfield, VA are:
What are popular job titles related to Mis Executive jobs in Springfield, VA? For Mis Executive jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Mis Executive jobs in Springfield, VA look for? The top searched job categories for Mis Executive jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Mis Executive jobs? Cities near Springfield, VA with the most Mis Executive job openings:
Infographic showing various Mis Executive job openings in Springfield, VA as of July 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 100% In-person job distribution, with an average salary of $97,718 per year, or $47 per hour.

Performance/Data Analyst III with Security Clearance

AITHERAS, LLC

Washington, DC • On-site

Other

Re-posted 8 days ago


Job description

Performance/Data Analyst III
Standardized Job Description Title: Performance/Data Analyst III
Location: Washington, DC / DOJ Facilities / JMD OCIO / NCC
Clearance or Background Needs: U.S. Citizen; active Secret clearance minimum; Top Secret/SCI eligibility strongly preferred
Experience Band: 6–10+ years
Openings: 3 FTEs Summary The Performance/Data Analyst III serves as a senior data science and analytics professional supporting DOJ JMD/OCIO and HSTF. This role leads advanced analytics, machine learning modeling, network analysis, ETL development, Tableau dashboard enhancement, MIS data governance, and executive-level reporting. The analyst supports operational targeting, performance tracking, resource allocation, investigative prioritization, audit readiness, and interagency data integration. Key Responsibilities
Lead advanced analytics, statistical modeling, machine learning, and network analysis for HSTF operational and strategic use cases.
Integrate, clean, and merge data from DOJ MIS, FBI, DEA, HSI, ATF, IRS-CI, USAO, and other partner systems.
Develop and maintain ETL pipelines for recurring ingestion and transformation of interagency datasets.
Build predictive models for investigative prioritization, case success probability, resource allocation, and operational impact.
Maintain, enhance, and potentially migrate automated Tableau dashboards.
Produce executive, operational, congressional, and interagency performance reports.
Conduct quarterly MIS data quality audits and develop audit dashboards with remediation recommendations.
Document schemas, data dictionaries, business rules, transformation logic, and analytical methodologies.
Identify automation opportunities, workflow optimizations, and reporting improvements.
Support transition-in and transition-out activities, preserving institutional knowledge and continuity of operations.
Required Qualifications
Bachelor’s degree in Data Science, Computer Science, Statistics, Analytics, Mathematics, Information Systems, or related field.
6+ years of applied data science, advanced analytics, BI, or performance measurement experience.
Active Secret clearance; ability to obtain or maintain Top Secret/SCI eligibility where required.
U.S. citizenship by birth or naturalization.
Expert-level SQL skills for extraction, transformation, analysis, and optimization.
Strong Python and/or R experience for statistical modeling, data processing, and automation.
Tableau dashboard development and performance reporting experience.
Experience with machine learning, predictive modeling, statistical analysis, or network analysis.
Experience integrating complex, multi-source, structured datasets.
Experience with law enforcement, intelligence, investigations, asset forfeiture, financial crimes, or federal operational data.
Strong understanding of data governance, quality assurance, privacy, and secure handling of sensitive information.
Ability to communicate complex analytical findings to executives, operational teams, and non-technical stakeholders.
Preferred / Nice-to-Have Qualifications
Active Top Secret, TS/SCI, or SCI eligibility.
Prior DOJ, DHS, FBI, DEA, ATF, HSI, IRS-CI, USAO, or federal law enforcement analytics experience.
Experience with criminal network analysis, link analysis, target prioritization, or financial flow analysis.
Experience with audit readiness, reconciliation, financial management reporting, or asset forfeiture programs.
Experience designing enterprise dashboards for executive and operational audiences.
Familiarity with NIST, FISMA, CUI, PII, DOJ privacy/security policies, and federal data standards.
Experience with Tableau Server, Power BI, SAS, Alteryx, Palantir, i2 Analyst’s Notebook, Neo4j, ArcGIS, or cloud analytics platforms.
Master’s degree in Data Science, Statistics, Computer Science, Public Policy Analytics, Criminal Justice Analytics, or related field.
Tools / Technologies / Systems Python, R, SQL, Tableau, Excel, DOJ MIS, ETL pipelines, predictive models, machine learning libraries, statistical analysis tools, dashboards, data dictionaries, data governance tools, Tableau Server, Power BI, SAS, Alteryx, network analysis tools, law enforcement datasets, financial reporting systems Certifications Security+, CISSP, Tableau Certified Data Analyst, Tableau Certified Consultant, Microsoft Power BI Data Analyst, Certified Analytics Professional, AWS Certified Data Analytics, Google Professional Data Engineer, SAS Advanced Programmer, CISA, CDMP, PMP, ITIL Foundation KPIs / Performance Outcomes
Reliable integration of DOJ and interagency datasets into MIS analytics workflows.
Accurate and timely quarterly, ad hoc, congressional, and executive reports.
Improved investigative targeting and prioritization through predictive and network analytics.
Measurable reduction in data quality defects, reporting delays, and manual reporting effort.
Complete and reusable documentation of data lineage, business rules, dashboards, and model logic.