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Remote Root Cause Analysis Jobs in Virginia (NOW HIRING)

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

... root cause analysis, and AI-enabled analytics. * Ensure data sharing, API integration, and data access models are secure, governed, auditable, and aligned with privacy, cybersecurity, and compliance ...

Ecolab

Industry Technical Consultant

Boydton, VA · Remote

$135K - $203K/yr

Lead problem solving efforts by utilizing various root cause analysis methodologies to resolve ... This position is remote and will primarily support customers in North America with the potential ...

Ecolab Inc.

Industry Technical Consultant

Boydton, VA · Remote

$135K - $203K/yr

Lead problem solving efforts by utilizing various root cause analysis methodologies to resolve ... This position is remote and will primarily support customers in North America with the potential ...

Lateral Insights LLC

Automation Engineer SDET

Great Falls, VA · Remote

$46.50 - $61.50/hr

Remote in United States ? East Coast preferred) Visa Sponsorship: Not available Job Summary We are ... Document test results, log defects, and perform root-cause analysis * Participate in code reviews ...

Steampunk

Azure Cloud Architect

Mclean, VA · On-site +1

$130K - $215K/yr

Perform root cause analysis on complex business processes and technical components. * Ensuring that systems are safe and secure against cybersecurity threats * Identifying technical problems ...

Steampunk

DevSecOps Architect

Mclean, VA · Remote

$150K - $190K/yr

Performing root cause analysis on complex business processes and technical components. * Ensuring that systems are safe and secure against cybersecurity threats * Identifying technical problems ...

Steampunk

DevSecOps Architect

Mclean, VA · Remote

$150K - $190K/yr

Performing root cause analysis on complex business processes and technical components. * Ensuring that systems are safe and secure against cybersecurity threats * Identifying technical problems ...

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All JobsRemote Root Cause Analysis JobsRemote Root Cause Analysis Jobs in Virginia

Remote Root Cause Analysis information

What are the key skills and qualifications needed to thrive as a Remote Root Cause Analysis Specialist, and why are they important?

To excel as a Remote Root Cause Analysis Specialist, you need strong analytical thinking, problem-solving abilities, and a background in the relevant technical field, often supported by certifications like Six Sigma or ITIL. Familiarity with diagnostic tools, data analysis software, and incident management systems is typically required. Exceptional communication, attention to detail, and the ability to collaborate effectively across remote teams are vital soft skills. These competencies are crucial for accurately identifying underlying issues, implementing effective solutions, and minimizing business disruptions in a distributed work environment.

What is the difference between Remote Root Cause Analysis vs Remote Quality Analyst?

AspectRemote Root Cause AnalysisRemote Quality Analyst
CredentialsAnalytical skills, problem-solving certifications, industry-specific knowledgeQuality assurance certifications, analytical skills, industry standards
Work EnvironmentData analysis, investigation, cross-department collaborationTesting, process evaluation, report documentation
Industry UsageManufacturing, IT, healthcare, engineeringSoftware, manufacturing, customer service, healthcare
Search & Comparison IntentUnderstanding problem-solving roles, analytical positionsQuality assurance roles, process improvement

Remote Root Cause Analysis focuses on identifying underlying issues in processes or systems through investigation and data analysis, often requiring technical and analytical skills. Remote Quality Analysts primarily evaluate products or services to ensure quality standards are met, emphasizing testing and process evaluation. While both roles involve analysis, Root Cause Analysis is more investigative, whereas Quality Analysts focus on quality assurance and compliance.

What are some typical challenges faced when conducting remote root cause analysis, and how can they be addressed?

A common challenge in remote root cause analysis is the lack of immediate physical access to affected equipment or environments, which can make it harder to gather firsthand data. This often requires reliance on digital tools, detailed documentation, and effective communication with on-site personnel. Building strong collaboration skills and leveraging technologies like video conferencing, remote monitoring, and shared documentation platforms can help overcome these obstacles. Proactive communication and standardized reporting also ensure all team members are aligned throughout the investigation process.

What is remote root cause analysis?

Remote root cause analysis is a problem-solving method used to identify the underlying causes of issues or failures in systems, processes, or products, conducted from a remote location rather than on-site. This approach typically utilizes digital tools, such as video conferencing, remote monitoring software, and data analysis platforms, to investigate problems, gather evidence, and collaborate with stakeholders. Remote root cause analysis allows organizations to resolve issues efficiently without the need for physical presence, saving time and resources while maintaining accuracy in problem identification.
What are the most commonly searched types of Root Cause Analysis jobs in Virginia? The most popular types of Root Cause Analysis jobs in Virginia are:
What are popular job titles related to Remote Root Cause Analysis jobs in Virginia? For Remote Root Cause Analysis jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Root Cause Analysis jobs in Virginia look for? The top searched job categories for Remote Root Cause Analysis jobs in Virginia are:
What cities in Virginia are hiring for Remote Root Cause Analysis jobs? Cities in Virginia with the most Remote Root Cause Analysis job openings:
Remote Root Cause Analysis jobs near you
Infographic showing various Remote Root Cause Analysis job openings in Virginia as of June 2026, with employment types broken down into 83% Full Time, 10% Part Time, and 7% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution.
Manager, Data Analytics - Remote

Manager, Data Analytics - Remote

ICF

Reston, VA • Remote

Full-time

Posted 7 days ago

Job description

This role is contingent upon a contract award.

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will support the design, implementation, and sustainment of data policy, standards, governance processes, portfolio management practices, data architecture, data quality controls, analytics products, dashboards, and secure data access models.

The ideal candidate has demonstrated experience leading enterprise data initiatives in regulated environments, with strong technical credibility across data governance, data architecture, data engineering, analytics, data quality, metadata management, and responsible AI-enabled analytics. This role requires the ability to translate business, operational, and mission needs into governed, secure, and usable data capabilities that support decision-making, performance management, and continuous improvement.

Job Location: This position is remote within the United States.

Please note that ICF monitors employee work locations, restricts access from foreign locations and IP addresses, and prohibits the use of personal VPN connections.

What You'll Be Doing
  • Lead enterprise data, analytics, governance, and AI-enabled capability delivery across a complex federal technology environment.
  • Develop and implement data governance policies, standards, operating procedures, approval workflows, and accountability models.
  • Establish and maintain data portfolio management practices, including prioritization, project intake, resource planning, risk tracking, milestone reporting, and performance measurement.
  • Lead the design and implementation of scalable data architecture, including data pipelines, data lakes, data warehouses, data marts, data catalogs, metadata repositories, and data lineage capabilities.
  • Define and enforce data quality standards, validation rules, data dictionaries, scorecards, issue management workflows, and continuous monitoring processes.
  • Guide development of analytics products, dashboards, reports, and visualization tools that provide operational insight and support executive decision-making.
  • Support advanced analytics capabilities, including statistical analysis, predictive modeling, trend analysis, root cause analysis, and AI-enabled analytics.
  • Ensure data sharing, API integration, and data access models are secure, governed, auditable, and aligned with privacy, cybersecurity, and compliance requirements.
  • Partner with cybersecurity, engineering, product, and program management teams to align data platforms, applications, integrations, and analytics capabilities with enterprise standards.
  • Establish reusable templates, frameworks, data models, ETL/ELT patterns, documentation repositories, and project management toolkits for data initiatives.
  • Support training, documentation, and knowledge transfer to improve user adoption and long-term sustainment of data tools, dashboards, and data management practices.
  • Monitor data quality, data usage, access patterns, and analytics adoption to identify risks, improvement opportunities, and operational blind spots.
What You Must Have
  • U.S. Citizenship required due to federal contract requirements.
  • Must be able to obtain and maintain a Federal Public Trust clearance.
  • Bachelor's Degree
  • 10+ years of experience leading enterprise data, analytics, data governance, data engineering, data architecture, or AI-enabled analytics initiatives.
  • One active data, cloud, analytics, AI/ML, or data governance certification, such as CDMP, DAMA, AWS/Azure/GCP data certification, Microsoft Power BI certification, Databricks, Snowflake, or equivalent
What we would like you to have:
  • 8+ years of experience designing, implementing, or managing enterprise data platforms, data pipelines, data warehouses, data lakes, data marts, data catalogs, or metadata management capabilities.
  • 5+ years of experience establishing data governance policies, standards, stewardship models, data quality frameworks, data dictionaries, lineage practices, or data management operating models.
  • 5+ years of experience delivering analytics products, dashboards, reporting capabilities, data visualizations, or executive decision-support tools.
  • 5+ years of experience working in federal, public sector, healthcare, life sciences, or other regulated environments with formal privacy, security, or compliance requirements.
  • 3+ years of experience supporting AI-enabled analytics, predictive modeling, machine learning workflows, anomaly detection, or advanced analytics use cases.
  • 3+ years of experience with data integration methods, including APIs, ETL/ELT pipelines, data orchestration, batch processing, real-time ingestion, or change data capture.
  • 3+ years of experience using data visualization, analytics, or business intelligence tools such as Power BI, Tableau, QuickSight, Looker, Palantir Foundry, or similar platforms.
  • 3+ years of experience with cloud data services on AWS, Microsoft Azure, Google Cloud Platform, or similar cloud environments.
  • Experience supporting HHS, NIH, FDA, CMS, CDC, or other health-focused federal environments.
  • Experience building or supporting Chief Data Office functions, enterprise data governance programs, or data portfolio management organizations.
  • Experience with data privacy, data protection, data classification, DLP, encryption, RBAC, ABAC, just-in-time access, or audit logging requirements.
  • Experience aligning data capabilities with NIST, FISMA, HIPAA, FedRAMP, GDPR, or other security and compliance frameworks.
  • Experience developing data catalogs, metadata management approaches, lineage models, data quality scorecards, data issue repositories, and data stewardship workflows.
  • Experience implementing AI governance, responsible AI practices, model monitoring, explainability, human-in-the-loop review, or secure AI-enabled analytics.
  • Experience with SQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse, Dataverse, or similar data platforms and tools.
  • Additional cloud, data, analytics, AI/ML, cybersecurity, Agile, ITIL, DAMA, CDMP, or project management certification.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$98,614.00 - $167,644.00Nationwide Remote Office (US99)

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