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Director Enterprise Risk Management Jobs in Remote, OR

Atos

Head of AI

OR · On-site +1

Direct reports: AI practice leadership team (solution leads, delivery leaders, architects), plus ... Ensure high-quality delivery across AI engagements, with strong governance, risk management, and ...

Atos

Head of AI

OR · On-site +1

Direct reports: AI practice leadership team (solution leads, delivery leaders, architects), plus ... Ensure high-quality delivery across AI engagements, with strong governance, risk management, and ...

Sapiens

Program Director - Customer Architect

OR · On-site +1

Maintains a live program risk register, manages interdependencies across teams, and drives ... Qualifications * 15+ years of experience leading complex enterprise software programs, including at ...

System One

Technical Data Steward

OR · Remote

$60 - $70/hr

Ensure execution of governance workstreams, including: o Metadata management o Enterprise quality ... Plan and lead data cleansing and remediation initiatives 5. Security & Risk Management * Partner ...

EM Key Solutions Inc

AI Engineer

Myrtle Point, OR · Remote

Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps ... Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.Education ...

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps ... Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

EM Key Solutions Inc

AI Engineer

OR · On-site +1

Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps ... Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

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Showing results 21-40

All JobsEnterprise Risk Management JobsDirector Enterprise Risk Management JobsDirector Enterprise Risk Management Jobs in Remote, OR

Director Enterprise Risk Management information

See Remote, OR salary details

$53.9K

$143K

$259.7K

How much do director enterprise risk management jobs pay per year?

As of Aug 7, 2026, the average yearly pay for director enterprise risk management in Remote, OR is $143,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $167,300.00 per year, depending on experience, location, and employer.

How does a director enterprise risk management typically collaborate with other departments to identify and mitigate organizational risks?

A Director of Enterprise Risk Management (ERM) works closely with leaders across departments such as compliance, finance, IT, and operations to proactively identify, assess, and address organizational risks. This often involves facilitating risk workshops, leading cross-functional risk assessments, and ensuring risk mitigation strategies are embedded in business processes. Regular communication and reporting to executive leadership and the board are also key responsibilities, enabling a holistic view of the risk landscape. Effective collaboration helps ensure that risk management is integrated throughout the organization, supporting both strategic objectives and regulatory compliance.

What does a director enterprise risk management do?

A Director of Enterprise Risk Management (ERM) is responsible for identifying, assessing, and mitigating risks that could impact an organization’s ability to achieve its objectives. They develop risk management strategies, policies, and frameworks, and work closely with senior leadership to integrate these practices across departments. The role involves overseeing risk assessments, monitoring compliance with regulations, and ensuring the organization is prepared for potential threats. By proactively managing risks, the director helps safeguard the organization's assets, reputation, and long-term success.

What are the key skills and qualifications needed to thrive as a director enterprise risk management, and why are they important?

To thrive as a Director of Enterprise Risk Management, you need expertise in risk assessment, regulatory compliance, and strategic planning, typically supported by a bachelor's or master's degree in business, finance, or a related field. Familiarity with risk management frameworks (such as COSO or ISO 31000), GRC (governance, risk, and compliance) systems, and relevant certifications like CRM or FRM is highly valued. Exceptional leadership, analytical thinking, and communication skills help you collaborate across departments and influence organizational culture. These abilities are crucial for identifying potential threats, ensuring regulatory compliance, and safeguarding the organization's long-term success.

What is the difference between Director Enterprise Risk Management vs Risk Manager?

AspectDirector Enterprise Risk ManagementRisk Manager
CredentialsTypically requires advanced degrees (MBA, Risk Management certifications)Often requires similar certifications but may have less emphasis on advanced degrees
Work EnvironmentStrategic, leadership-focused, often in senior management teamsOperational, focused on risk assessment and mitigation activities
Employer & Industry UsageUsed in large corporations across various industriesCommon in organizations of all sizes, especially in finance, insurance, and manufacturing
Search & Comparison IntentUnderstanding senior risk leadership rolesOperational risk management responsibilities

The main difference between a Director Enterprise Risk Management and a Risk Manager lies in their scope and seniority. The Director typically oversees enterprise-wide risk strategies and leads teams, while the Risk Manager focuses on specific risk areas and implementation. Both roles require relevant certifications and experience, but the Director position involves more strategic decision-making and leadership responsibilities.

What job categories do people searching Director Enterprise Risk Management jobs in Remote, OR look for? The top searched job categories for Director Enterprise Risk Management jobs in Remote, OR are:
What cities near Remote, OR are hiring for Director Enterprise Risk Management jobs? Cities near Remote, OR with the most Director Enterprise Risk Management job openings:
Director Enterprise Risk Management jobs near you
Infographic showing various Director Enterprise Risk Management job openings in Remote, OR as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $143,043 per year, or $68.8 per hour.

Head of AI

Atos

OR • On-site, Remote

Other

Re-posted 4 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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