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Ai Risk Manager Jobs in Oregon (NOW HIRING)

Astera Labs

OR

Lead and manage global AI, Storage, and Networking hardware design programs, ensuring on-time ... Drive program governance, risk management, and execution excellence across all phases of product ...

phData

Program Manager, Data & AI

OR · On-site +1

... risk across multi-geo teams. * Partner closely with technical delivery leads, architects, and ... Managers and consultants, and contributing to the evolution of AI-augmented delivery practices.

Atos

Head of AI

OR · On-site +1

Ensure high-quality delivery across AI engagements, with strong governance, risk management, and stakeholder communication. * Standardize delivery methodology for AI programs (discovery, prototyping ...

Atos

Head of AI

OR · On-site +1

Ensure high-quality delivery across AI engagements, with strong governance, risk management, and stakeholder communication. * Standardize delivery methodology for AI programs (discovery, prototyping ...

Standard, The

Privacy Compliance Consultant

OR · Remote

... AI risk. * Translate complex regulatory requirements into actionable business practices and ... Prior experience reviewing, and reporting on the efficiency and effectiveness of risk management ...

Cisco

Marketing AI Solutions Product Manager

OR · Remote

$153.80K/yr

Lead AI initiatives from discovery through pilot, launch, and scale ... Ensure structured execution with clear milestones, risk management, and success criteria.

The Hartford

AVP Applied AI, Small Business

OR · On-site +1

Ensure evaluation results inform prioritization, release decisions, and risk management at the ... Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk ...

Foundever

Contribute to AI governance frameworks (ethical AI, data usage, vendor selection, risk management) * Provide executive-level reporting and recommendations Team & ecosystem leadership * Build and lead ...

Argenx

OR

... management, audit, or related roles within the life sciences sector. * Proven experience designing and executing risk assessment frameworks, ideally leveraging AI, machine learning, and advanced ...

EnerSys

VP Enterprise AI Enablement

Portland, OR · On-site

$275K - $315K/yr

Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management in partnership with Legal, Cybersecurity, IT Architecture, HR, and Compliance. Own AI investment ...

phData

Senior Program Manager, Data & AI

OR · On-site +1

$115.90K - $116.40K/yr

Own or co-own engagement financials (budget, burn, margins, forecasting), early risk/variance ... Program/delivery management: Deep experience with multi-workstream initiatives (ideally data ...

Kalshi

OR

$160K - $220K/yr

... tech, AI, culture and more. We believe prediction markets have the potential to be the largest ... Partner cross-functionally with other teams to drive continuous improvement in risk management ...

International Justice Mission

OR

The Risk subfunction is designing a risk management framework andsettingenterprise risk strategy ... including use case proposals for AI for Risk; * Key metric and dashboard design; and

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Ai Risk Manager information

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

What are popular job titles related to Ai Risk Manager jobs in Oregon? For Ai Risk Manager jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in Oregon look for? The top searched job categories for Ai Risk Manager jobs in Oregon are:
What cities in Oregon are hiring for Ai Risk Manager jobs? Cities in Oregon with the most Ai Risk Manager job openings:
Ai Risk Manager jobs near you
Principal AI Infrastructure & Hardware Program Management

Principal AI Infrastructure & Hardware Program Management

Astera Labs

Other

Posted 10 days ago

Job description

About the Role

We are seeking a highly experienced and results-driven leader to drive our global AI, Storage, and Networking hardware design programs. This role will be responsible for end-to-end program leadership across complex, multi-disciplinary initiatives, ensuring successful delivery of cutting-edge products in a fast-paced, innovation-driven environment.

You will work closely with executive leadership, Tier-1 customers, and cross-functional global teams to deliver next-generation infrastructure solutions, including advanced AI platforms.

Key ResponsibilitiesProgram Leadership & Execution
  • Lead and manage global AI, Storage, and Networking hardware design programs, ensuring on-time delivery, scope control, and budget adherence
  • Drive program governance, risk management, and execution excellence across all phases of product development
  • Provide regular program updates, risk assessments, and financial reporting to executive leadership through structured reviews (e.g., Leadership Program Reviews)
Product Innovation & Delivery
  • Oversee the successful launch of complex hardware platforms, including AI GPU-based systems
  • Manage high-priority, resource-constrained programs while maintaining quality and schedule commitments
  • Enable innovation in next-generation AI infrastructure and high-performance computing platforms
UALink Switch Tray Development (Rack-Scale AI Systems)
  • Lead end-to-end program management for UALink / PCIe Gen6 switch tray development supporting rack-scale AI platforms and GPU clusters
  • Coordinate design, validation, and manufacturing readiness of switch trays across EVT, DVT, and PVT phases
  • Drive integration of switch silicon, retimer cards, cabling, and system-level connectivity within full rack-scale architectures
  • Collaborate with ODMs and partners to align on design specifications, cost models, and development schedules
  • Manage technical trade-offs across performance, signal integrity, power delivery, thermals, and scalability for high-density GPU deployments
Customer & Partnership Management
  • Partner with Tier-1 customers to deliver Joint Design Manufacturing (JDM) programs
  • Ensure alignment with customer-specific requirements in design, supply chain, and quality
  • Build strong customer relationships and act as a trusted advisor throughout the product lifecycle
Global Cross-Functional Leadership
  • Lead globally distributed teams across engineering (HW/SW), supply chain, manufacturing, and quality organizations
  • Coordinate teams across multiple regions (e.g., North America and Asia) to drive seamless execution
  • Guide programs through EVT, DVT, and PPVT phases, ensuring technical validation across electrical, thermal, power, signal integrity, and mechanical domains
Qualifications
  • 12+ years of experience in hardware program management, preferably in AI, servers, storage, or networking
  • Proven track record of delivering complex global hardware programs from concept to production
  • Experience leading cross-functional teams across multiple geographies
  • Strong background in product development lifecycle (EVT, DVT, PPVT)
  • Experience working with Tier-1 customers and JDM models
  • Demonstrated ability to manage program financials, timelines, and risks at scale
  • Excellent communication skills with experience presenting to senior executives
Preferred Qualifications
  • Experience with AI GPU platforms or high-performance computing infrastructure
  • Familiarity with AMD, NVIDIA, or similar AI hardware ecosystems
  • Experience with PCIe Gen6, CXL, or UALink-based connectivity architectures
  • Exposure to industry forums such as OCP (Open Compute Project)
  • MBA or advanced technical degree

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