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How much do cybersecurity project manager jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for cybersecurity project manager in Spokane, WA is $60.04, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $72.93 per hour, depending on experience, location, and employer.

What is a cybersecurity project manager?

A Cybersecurity Project Manager is a professional responsible for planning, executing, and overseeing cybersecurity projects within an organization. They coordinate cross-functional teams to ensure security initiatives are completed on time, within budget, and meet the organization's security requirements. Their duties often include risk management, resource allocation, scheduling, and communication with stakeholders. Cybersecurity Project Managers play a crucial role in protecting a company's data, networks, and systems from cyber threats by ensuring security projects are delivered effectively.

What are the key skills and qualifications needed to thrive as a cybersecurity project manager?

To excel as a Cybersecurity Project Manager, you need a solid understanding of cybersecurity principles, project management methodologies, and a relevant bachelor's degree, often complemented by certifications like PMP or CISSP. Familiarity with project management tools (such as JIRA or MS Project), risk assessment platforms, and security frameworks (like NIST or ISO 27001) is typically required. Outstanding communication, leadership, and problem-solving skills help drive cross-functional teams and manage stakeholder expectations. These competencies ensure projects are delivered securely, on time, and within scope, protecting organizational assets from cyber threats.

What are some typical challenges a cybersecurity project manager faces when coordinating cross-functional teams?

Cybersecurity Project Managers often work with diverse teams, including IT, compliance, and business stakeholders. One common challenge is ensuring clear communication between technical and non-technical members, as misunderstandings can delay project timelines. Balancing security requirements with business objectives, managing shifting priorities, and addressing resource constraints are also frequent hurdles. Developing strong collaboration skills and maintaining a proactive approach to risk management are key to overcoming these challenges and successfully delivering cybersecurity projects.

What is the difference between Cybersecurity Project Manager vs Cybersecurity Analyst?

AspectCybersecurity Project ManagerCybersecurity Analyst
CertificationsCAP, PMP, CISSPCISSP, CEH, Security+
Work EnvironmentProject teams, management, client coordinationSecurity monitoring, incident response, vulnerability assessment
Employer & Industry UsageIT firms, corporations, government agenciesSecurity operations centers, IT departments, consulting firms

The main difference is that a Cybersecurity Project Manager oversees security projects, coordinating teams and resources, while a Cybersecurity Analyst focuses on analyzing security threats, monitoring systems, and responding to incidents. Both roles require relevant certifications and are vital in protecting organizational assets, but they serve different functions within cybersecurity teams.

What are popular job titles related to Cybersecurity Project Manager jobs in Spokane, WA?

For Cybersecurity Project Manager jobs in Spokane, WA, the most frequently searched job titles are:

What job categories do people searching Cybersecurity Project Manager jobs in Spokane, WA look for?

The top searched job categories for Cybersecurity Project Manager jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Cybersecurity Project Manager jobs?

Cities near Spokane, WA with the most Cybersecurity Project Manager job openings:

Cybersecurity Project Manager jobs near you

DIA Maching Lrng Eng

Ford Motor Company

Spokane Valley, WA • On-site

Full-time

Medical, Dental, Life, PTO

Re-posted yesterday

Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers

Job description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making.

Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.

We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges.

This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.

  • Bachelor's degree in computer science, mathematics, statistics, operations research, or related field 

  • Experience with the complete software lifecycle

  • 1+ years of experience with delivering and maintaining production software products

  • Strong technical writing and oral communication skills

  • Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps

  • Experience in productionizing generative AI to solve critical business problems

  • Preferred Qualifications

  • Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)

    • OR Master's degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science 

    • OR bachelor's degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience

  • Experience with cloud-based deployments and best practices

  • Demonstrated contributions and expertise in one or more of the following AI domains:

    • Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale, including development and deployment of LLM-driven AI agents capable of autonomous task execution and tool integration)

    • Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction)

    • Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain)

    • Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
 
Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is remote unless you are within 50 miles of Dearborn, MI, then you will be required on-site 4x a week.
 
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance is NOT provided for this specific role*
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-Remote
#LI-DS2 
 
SG7-SG8

  • Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)

  • Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends

  • Apply AI and Machine Learning technology to solve complex, real-world problems

  • Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely

  • Fulfill problem formulation and ML technique consulting requests in a timely manner

  • Communicate and present analytical models to business customers and executive management

  • Work collaboratively with different business partners and be able to present results in a clear and concise manner

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