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Remote Intelligence Analyst Jobs in Remote, OR (NOW HIRING)

Atos

Head of AI

OR · On-site +1

Position : Head of Artificial Intelligence Role Summary The Head of Artificial Intelligence ... Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ...

Atos

Head of AI

OR · On-site +1

Position : Head of Artificial Intelligence Role Summary The Head of Artificial Intelligence ... Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ...

Atos

PROJECT MANAGER

OR · Remote

Remote Employment Type: Full-Time Travel: As required by client (typically 10-20%) Eligibility ... Our AI & Analytics practice is at the forefront of this mission, delivering innovative solutions ...

Atos

PROJECT MANAGER

OR · On-site +1

Remote Employment Type: Full-Time Travel: As required by client (typically 10-20%) Eligibility ... Our AI & Analytics practice is at the forefront of this mission, delivering innovative solutions ...

BOK Financial

Retail Promotions Strategist

OR · On-site +1

$85K - $110K/yr

... PRVL, Remote, Richardson -RCHRD, Rio Rancho -RIOR, Salt Lake City, UT, San Antonio -SANAN, Sand ... This role integrates product management, growth marketing, competitive analysis, and data-driven ...

AGFA

Information Security Leader

OR · On-site +1

Location: * Remote: US / Canada What You'll Do: * Scaled and resilient security operations ... Oversee threat intelligence, vulnerability management, and incident response with a focus on ...

Agfa

Information Security Leader

OR · Remote

Location: * Remote: US / Canada What You'll Do: * Scaled and resilient security operations ... Oversee threat intelligence, vulnerability management, and incident response with a focus on ...

Veeco Instruments, Inc.

Sr. Field Service Engineer

OR · On-site +1

... drive artificial intelligence, augmented and virtual reality, gaming and so much more, our ... This role is remote-based in the Boise, Idaho metropolitan area, with frequent, hands-on engagement ...

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Remote Intelligence Analyst information

See Remote, OR salary details

$41K

$100K

$154.3K

How much do remote intelligence analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for remote intelligence analyst in Remote, OR is $99,960.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $120,400.00 per year, depending on experience, location, and employer.

What Does a Remote Intelligence Analyst Do?

As a remote intelligence analyst, your primary responsibilities are to provide analysis of intelligence information and report on your findings, all while you work from home. You review information or data and offer a comprehensive understanding that gets turned into strategies. Your duties require you to research subjects, identify risks, and create detailed reports. You can find remote intelligence analyst jobs in the government, military, private businesses, non-governmental organizations, and think tanks. Many intelligence analyst positions involve international subjects and specialize in specific areas such as cybersecurity, technology, engineering, and regions of the world.

What are the key skills and qualifications needed to thrive as a Remote Intelligence Analyst, and why are they important?

To thrive as a Remote Intelligence Analyst, you need strong analytical abilities, critical thinking, and a background in intelligence studies or a related field. Familiarity with data analysis tools, intelligence databases, and secure communication platforms is typically required, and certifications such as Security+ or Certified Intelligence Analyst may be beneficial. Exceptional written communication, attention to detail, and discretion are key soft skills for synthesizing information and collaborating securely with teams. These skills are vital for producing accurate, actionable intelligence while maintaining security and effectiveness in a remote setting.

How do Remote Intelligence Analysts typically collaborate with team members and stakeholders despite working off-site?

Remote Intelligence Analysts frequently use secure communication platforms, such as encrypted messaging, video conferences, and shared digital workspaces, to collaborate with colleagues and share findings. They often attend regular virtual meetings to discuss ongoing cases, coordinate research efforts, and provide updates to both internal teams and external partners. Maintaining clear and timely communication is essential, as remote analysts must ensure their insights are effectively integrated into decision-making processes even when not physically present.

What is a Remote Intelligence Analyst?

A Remote Intelligence Analyst is a professional who gathers, evaluates, and interprets information from various sources to support decision-making, typically for organizations focused on security, defense, or business intelligence. They work from a remote location, using digital tools to analyze data, produce reports, and provide actionable insights. This role often involves monitoring trends, assessing threats, and collaborating with teams virtually to inform strategy or operations. Remote Intelligence Analysts must have strong analytical skills, attention to detail, and proficiency with specialized software. Their work is crucial for organizations that require timely and accurate intelligence while allowing flexibility in work location.

What is the difference between Remote Intelligence Analyst vs Remote Data Analyst?

AspectRemote Intelligence AnalystRemote Data Analyst
Required CredentialsBachelor's in Intelligence, Security, or related field; often security clearanceBachelor's in Data Science, Statistics, or related field; certifications like CAP or Microsoft Certified
Work EnvironmentGovernment agencies, defense, intelligence firmsCorporations, consulting firms, tech companies
Employer & Industry UsagePrimarily government and defense sectorsBusiness, finance, healthcare, tech industries
Common Search & ComparisonYesNo

Remote Intelligence Analysts focus on security, national defense, and intelligence gathering, often requiring security clearances. Remote Data Analysts analyze large datasets to inform business decisions across various industries. While both roles involve data analysis skills, their work environments and industry applications differ significantly.

More about Remote Intelligence Analyst jobs
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What cities near Remote, OR are hiring for Remote Intelligence Analyst jobs? Cities near Remote, OR with the most Remote Intelligence Analyst job openings:
Remote Intelligence Analyst jobs near you

Head of AI

Atos

On-site, Remote

Full-time

Posted 19 days ago

Job description

About Atos Group
Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
Position : Head of Artificial Intelligence
Role Summary
The Head of Artificial Intelligence Practice (North America) leads strategy, growth, delivery excellence, and talent for the AI portfolio across U.S. and Canada. This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI platforms, MLOps), and partners with sales and delivery leaders to expand revenue and customer impact across industries.
Reporting and Scope
  • Reports to: Head of Data & AI - North America
  • Direct reports: AI practice leadership team (solution leads, delivery leaders, architects), plus dotted-line matrix teams
  • Geography: United States and Canada (remote/hybrid depending on location)
  • Travel: Up to 25-40% (client sites, executive briefings, industry events)

Key Responsibilities
• Practice strategy and roadmap
    • Define the North America AI practice strategy aligned to corporate goals and market demand.
    • Build and maintain a 12-24 month capability roadmap across GenAI, Agentic AI, applied ML, AI engineering, MLOps, and AI governance.
    • Identify strategic bets (industries, partnerships, platforms) and prioritize investments for impact and scale.
    • Lead the delivery team for AI across NA including building and managing talent and ensuring ulitization targets for the team

• Portfolio, offerings, and thought leadership
    • Support Head of Advisory and Global Teams with packaged offerings and accelerators (POCs-to-production playbooks, reference architectures, reusable components).
    • Work with Head of Innovation industry-specific solutions (e.g., banking, retail, healthcare, telecom, public sector) with measurable outcomes.
    • Represent the company externally through speaking, publishing, analyst briefings, and customer success stories.

• Go-to-market and revenue growth
    • Own pipeline and bookings targets for AI services in North America; partner with sales, alliances, and marketing.
    • Help Represent the solutioning for strategic pursuits, including executive-level proposal narratives, value cases, and pricing models.
    • Help support the partner ecosystem with hyperscalers and AI platform vendors; drive co-sell motions where applicable.

• Delivery excellence and customer outcomes
    • Ensure high-quality delivery across AI engagements, with strong governance, risk management, and stakeholder communication.
    • Standardize delivery methodology for AI programs (discovery, prototyping, productionization, monitoring, continuous improvement).
    • Drive customer adoption, measurable business value, and referenceability through disciplined success management.

• Talent, org design, and culture
    • Build and scale a high-performing AI team: hiring plans, skills frameworks, career paths, and mentorship.
    • Upskill broader delivery teams through training programs, communities of practice, and internal enablement.
    • Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning.

• Governance, security, and responsible AI
    • Establish responsible AI standards (privacy, security, bias mitigation, explainability, model risk management).
    • Partner with security, legal, and compliance teams to ensure AI solutions meet client and regulatory requirements.
    • Define and monitor AI practice quality standards, including data governance, model lifecycle controls, and audits.

• Financial management and operations
    • Help support the Head of Data and AI P&L: revenue, gross margin, utilization, bench, subcontractor mix, and investment planning.
    • Set operating rhythm: QBRs, forecast accuracy, capacity planning, and delivery health dashboards.
    • Optimize delivery model (onshore/nearshore/offshore) to meet client needs and margin targets.

Required Qualifications
  • 15+ years of experience in technology consulting, product engineering, or enterprise technology leadership, with 8+ years in AI/ML/GenAI leadership.
  • Proven track record building and scaling an AI practice or portfolio with P&L responsibility and measurable revenue growth.
  • Strong understanding of modern AI stack: GenAI (LLMs), Agentic AI, ML, data engineering, AI platforms, MLOps/LLMOps, and cloud services (AWS/Azure/GCP).
  • Demonstrated experience delivering AI solutions end-to-end: discovery to production, monitoring, and continuous improvement.
  • Executive presence with ability to influence EVP-level stakeholders and lead complex deal pursuits.
  • Experience leading multi-disciplinary teams (AI Architects, AI Engineers, data scientists, ML engineers, architects, product managers, delivery leaders).
  • Knowledge of responsible AI, security, and privacy requirements for enterprise AI implementations.

Preferred Qualifications
  • Experience in IT services/consulting organizations operating with global delivery models (onshore/nearshore/offshore).
  • Domain expertise in one or more regulated industries (financial services, healthcare, telecom, government).
  • Partnership experience with hyperscalers and AI platform vendors; co-sell and alliance management success.
  • Hands-on experience with AI solution architecture, including retrieval-augmented generation (RAG), vector databases, and agentic workflows.
  • Advanced degree in Computer Science, Engineering, Data Science, or related field; MBA a plus.

Core Competencies
  • Strategic leadership and business building
  • Consultative selling and executive stakeholder management
  • AI engineering rigor and delivery governance
  • Productization mindset (offerings, accelerators, repeatability)
  • Talent development and organizational design
  • Cross-functional collaboration in matrix environments
  • Strong communication: narrative building, proposals, and presentations

Tools and Technologies (Representative)
  • Cloud: AWS, Microsoft Azure, Google Cloud Platform
  • AI/ML: Agentic AI, Python, PyTorch/TensorFlow, scikit-learn, MLflow (or equivalent), feature stores
  • GenAI: LLM APIs and platforms, prompt engineering, RAG patterns, evaluation frameworks, guardrails
  • Data: SQL, modern data warehouses/lakehouse platforms, streaming where needed
  • MLOps/LLMOps: CI/CD for models, monitoring/observability, model registry, governance tooling

Work Environment
  • Remote or hybrid within North America; may require proximity to major client hubs.
  • Travel expectation up to 25-40% based on client needs and business development cycles.
  • This role may require occasional work outside standard business hours to support executive meetings across time zones.

Equal Opportunity
The organization is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.

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