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Remote Conflicts Analyst Jobs in Washington, DC (NOW HIRING)

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Remote Conflicts Analyst information

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$37.4K

$86.4K

$140.4K

How much do remote conflicts analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote conflicts analyst in Washington, DC is $86,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $101,900.00 per year, depending on experience, location, and employer.

What is a remote conflicts analyst?

A Remote Conflicts Analyst is responsible for identifying and resolving potential conflicts of interest within a law firm or corporate setting. They review client and case information, analyze conflict reports, and ensure compliance with ethical and legal standards. Working remotely, they use specialized software to conduct conflict checks and communicate findings to attorneys or compliance teams. This role requires attention to detail, confidentiality, and knowledge of legal ethics and professional responsibility rules.

What skills and qualifications are needed to thrive as a remote conflicts analyst?

To thrive as a Remote Conflicts Analyst, you need strong analytical skills, attention to detail, and experience with conflict of interest reviews, typically supported by a background in law, compliance, or a related field. Familiarity with conflicts management databases, legal research tools, and document management systems such as Intapp or Elite is highly valuable. Excellent written and verbal communication, critical thinking, and the ability to manage sensitive information discreetly are standout soft skills. These skills are crucial for accurately identifying and resolving conflicts, ensuring regulatory compliance, and supporting organizational integrity in remote environments.

What are common challenges faced by remote conflicts analysts, and how is support provided to overcome them?

Remote Conflicts Analysts often face the challenge of interpreting complex information from multiple sources while working independently from a virtual setting. Coordination with attorneys and various internal teams across time zones can also require flexibility and strong communication skills. Most organizations provide thorough onboarding, ongoing access to training resources, and collaborative tools such as shared databases and secure messaging platforms to ensure analysts remain supported and connected. Regular team meetings and clear escalation procedures further help address complex issues and maintain high-quality conflict resolution. This supportive infrastructure allows Remote Conflicts Analysts to perform their role effectively and feel part of a cohesive team, even when working from different locations.

What are the most commonly searched types of Conflicts Analyst jobs in Washington, DC?

The most popular types of Conflicts Analyst jobs in Washington, DC are:

What are popular job titles related to Remote Conflicts Analyst jobs in Washington, DC?

For Remote Conflicts Analyst jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Conflicts Analyst jobs in Washington, DC look for?

The top searched job categories for Remote Conflicts Analyst jobs in Washington, DC are:

Remote Conflicts Analyst jobs near you
Infographic showing various Remote Conflicts Analyst job openings in Washington, DC as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 17% Hybrid, and 83% Remote job distribution, with an average salary of $86,387 per year, or $41.5 per hour.

AI, Data Platforms & Responsible AI Governance Lead - R-07B

Axyde Analytics

Washington, DC • On-site, Remote

Full-time

Posted 13 days ago

Job description

AI, Data Platforms & Responsible AI Governance Lead - R-07B
Requisition: R-07B
Opportunity: 26-0015 / 1131PL26R0058
Location Anchor: Washington, DC 20001
Work mode: Fully remote / U.S.-based
Travel: Europe/Eurasia as assigned
Engagement: Contingent expert
Role purpose
Lead feasibility and project-scoping analysis for public-sector AI, data platforms, analytics, and responsible-AI governance within Europe/Eurasia digital-infrastructure opportunities. Translate policy goals and incomplete data environments into implementable use cases, architectures, governance controls, procurement requirements, budgets, schedules, and measurable outcomes.
Representative assignment problems
•Assess data availability, quality, ownership, interoperability, privacy, residency, security, institutional capacity, and public acceptance.
•Define AI/data-platform alternatives across cloud, data-center, edge, and connectivity environments.
•Evaluate model purpose, training and inference data, human oversight, explainability, bias, safety, cybersecurity, vendor lock-in, lifecycle cost, and operating capacity.
•Develop phased roadmaps, pilots, TOR/SOW requirements, budgets, schedules, acceptance tests, and responsible-AI controls.
•Support digital-government, critical-infrastructure, service-delivery, urban/municipal, geospatial, or cross-border data use cases when assigned.
Responsibilities
•Own AI/data analysis modules and integrate them with cybersecurity, data-center, connectivity, finance, regulatory, and regional work.
•Produce evidence-traceable inputs for Preliminary Assessments, Project Reports, TORs, independent budgets, schedules, and the cumulative Final Report.
•Distinguish proven use cases from speculative vendor claims and document limitations, dependencies, and recovery paths.
•Define data/model governance, monitoring, incident, human-approval, and independent-review requirements.
•Participate in remote analysis, stakeholder discovery, quality review, and international travel when assigned.
•Protect sensitive information and disclose actual, potential, or apparent conflicts.
Minimum evidence-based qualifications
•10+ years of relevant data-platform, AI/ML, analytics, digital-government, or technology-governance experience, with dated named projects; the résumé must separately show the duration of direct AI work.
•Direct responsibility for AI/data feasibility, architecture, governance, deployment roadmap, procurement/TOR/SOW, or implementation decisions-not only software development or tool use.
•Evidence addressing data quality, privacy, interoperability, model risk, cybersecurity, human oversight, adoption, and measurable outcomes.
•Public-sector, regulated-infrastructure, international-development, or Europe/Eurasia experience strongly preferred.
•U.S. citizen or lawful permanent resident; Axyde will request written confirmation but not identity documents during recruiting.
•Strong written English, independent technical judgment, contingent availability, and international-travel ability.
Evidence to submit
•Current résumé with month/year dates and exact project responsibilities.
•Short project list naming client, country, period, data/AI use case, architecture or governance product, and outcome.
•One nonproprietary example of an AI/data options analysis, roadmap, governance framework, procurement package, or TOR.
•Current city/state, hourly-rate expectation, availability, travel status, and employment/country/customer/conflict restrictions.
Application questions
1. Identify three relevant data/AI projects and state the years of direct AI work separately from general IT tenure.
2. Describe one public-sector or regulated-infrastructure use case and the decision product you led.
3. Explain how you addressed data quality, privacy/residency, cybersecurity, bias/model risk, human oversight, and vendor lock-in.
4. Describe one roadmap, procurement package, TOR/SOW, pilot design, or acceptance framework you produced.
5. Identify Europe/Eurasia countries/languages and international-development experience.
6. Are you a U.S. citizen or lawful permanent resident? Answer only yes/no/category; do not upload identity documents.
7. Confirm availability, travel ability, conflicts/restrictions, employer approvals, and rate expectation.
Contingent-opportunity notice
This posting supports a competitive federal proposal. It is not an offer or guarantee of employment, subcontract, hours, travel, award, or assignment. Selection is conditioned on written résumé authorization, evidence review, eligibility, availability, conflict review, rate agreement, proposal strategy, award, and customer direction. Do not submit passports, Social Security numbers, immigration documents, classified/export-controlled information, or customer-proprietary material.

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