Data Manager Visa Sponsorship Jobs in Washington
Washington state is a strong market for data manager roles, with major employers like Microsoft, Amazon, Boeing, and Providence Health concentrating hiring across Seattle, Redmond, and Bellevue. The state's dense tech sector and growing healthcare and aerospace industries generate consistent demand for data managers, making it one of the more active states for visa sponsorship in this field.
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Date: Jul 29, 2026
Location: Bellevue, WA, US, 98004
Company: PACCAR
PACCAR is a Fortune 500 company recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and also provides customized financial services, information technology and truck parts related to its principal business.
We’re investing in sustainability for the long haul. We are a purpose-led, values-driven company that believes the work we do today makes a difference tomorrow. Whether you are starting out your career or continuing to build upon one, PACCAR provides opportunities for both! Join a community of professionals that is helping build the best in industry products and services that keep our communities running!
Requisition Summary
This position is located at PACCAR’s global headquarters in downtown Bellevue, Washington, and provides an exciting opportunity to support the strategic direction of PACCAR by developing and applying analytical models that identify and quantify risk in PACCAR’s global portfolio of financial products.
As a Data Analyst within the Portfolio Risk and Analysis Group, you will provide analytically sound risk models that inform credit decisions by PACCAR’s finance organizations in Europe, North America, Latin America, and Australia, as well as senior management and company executives. You will utilize your education and work experience to drive new projects and improvements to existing processes. Company executives and analytic partners will rely on you for timely, trustworthy, and relevant business insights gained through best practices in data science and advanced analytic techniques.
Success in this role will hinge on your curiosity, ability to work well in ambiguity, a passion for learning, and adept communication skills.
Job Functions / Responsibilities
- Manage and document the full lifecycle of analytic projects from problem statement through solution performance monitoring.
- Employ appropriate AI/ML algorithms in creation and deployment of models that support initiatives for risk analysis and automated credit decisioning.
- Leverage emerging technologies to continuously increase the value of PACCAR’s data assets
- Expand and enhance the department’s BI capabilities by developing automated deployment pipelines, and data processing applications using on-premise and cloud-based tools.
- Maintain strong working relationships with IT departments and regional credit offices to facilitate adoption of digital transformation initiatives.
- Confidently present improvement ideas and technical solutions, that enhance business impact and reduce programmatic risk, to senior managers and executives.
- Develop and implement process improvements leveraging AI to enhance data analysis and modeling capabilities, increasing the speed, accuracy, and efficiency of our work.
- Support organizational objectives as an integral member of an effective cross-functional credit and risk analytics team.
Required Experience/Skills/Competencies:
- Bachelor’s degree in Computer Science, MIS, Business Analytics, Statistics or related field
- 5+ years of applicable job experience.
- Demonstrated experience leading data projects from inception to deployment. Including building relationship with stakeholders and targeting strategic outcomes.
- Must be a highly motivated self-directed learner with a creative mind, insatiable curiosity, and meticulous attention to detail.
- Strong statistical foundation combined with proficiency in machine learning algorithms including logistic regression, chi-squared testing, ROC curves, ensemble methods, and automated machine learning platforms to drive data-driven insights and model performance optimization.
- Advanced proficiency with SQL and Snowflake querying and use of relational database platforms such as SQL Server, Oracle, MySQL, etc.
- Proficiency in data-centric programming languages such as Python or R.
- Experience deploying models to production and supporting model monitoring.
- Experience with machine learning models (e.g., gradient boosting, random forests, XGBoost/LightGBM).
- Experience with the AWS suite, specifically Amazon S3, AWS Lambda, and Apache Airflow.
- Excellent general business acumen, with the ability to clearly and concisely communicate complex topics.
- Hands-on data modeling experience and proficiency with data visualizations.
Preferred Experience/Skills/Competencies:
- MBA or Master’s degree in Computer Science, MIS, or related field.
- Professional certifications such as PMP, FRM, or related industry certifications from AWS, Google Analytics, etc.
- Experience with large language models (LLMs), retrieval-augmented generation (RAG), or autonomous agent frameworks to develop and deploy machine learning models and AI agents that automate data analysis workflows and drive actionable insights from complex datasets.
- Experience with version control (Git) and collaborative analytics workflows.
- Strong understanding of commercial financial principles.
Benefits
As a U.S. PACCAR employee, you have a full range of benefit options including:
- 401k with up to a 5% company match
- Fully funded pension plan that provides monthly benefits after retirement
- Comprehensive paid time off- minimum of 10 paid vacation days (additional days are provided with additional seniority/years of service), 12 paid holidays, and sick time
- Tuition reimbursement for continued education
- Medical, dental, and vision plans for you and your family
- Flexible spending accounts (FSA) and health savings account (HSA)
- Paid short-and long-term disability programs
- Life and accidental death and dismemberment insurance
- EAP services including wellness plans, estate planning, financial counseling and more
- This position is also eligible for a holiday gift.
Additional Job Information
PACCAR is an E-Verify and Equal Opportunity Employer/Protected Veteran/Disability. At PACCAR, we value talent and promote growth and development. We carefully consider numerous compensation factors including your education, training, or experience. The salary range for the Associate Data Scientist position is $90,400 - $141,800 annually. Additionally, this role is eligible for the full range of benefit options listed above.
Nearest Major Market: Seattle
Nearest Secondary Market: Bellevue
Job Segment: Data Analyst, Machinist, Computer Science, ERP, Data Modeler, Data, Manufacturing, Technology
Data Manager Job Roles in Washington
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Search Data Manager Jobs in WashingtonData Manager Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for data managers in Washington?
Microsoft, Amazon, Boeing, Tableau (a Salesforce company), Expedia Group, and Providence Health are among the Washington employers with documented histories of sponsoring work visas for data-related roles. Large tech and healthcare organizations in the Seattle metro tend to have established immigration programs, which generally makes them more willing and equipped to sponsor data manager positions than smaller firms.
Which visa types are most common for data manager roles in Washington?
The H-1B visa is the most common visa category for data manager roles in Washington, as the position typically requires a bachelor's degree or higher in a field like computer science, information systems, or statistics, meeting the specialty occupation standard. Candidates with extraordinary ability may qualify for the O-1A. Australians working in this field may also have access to the E-3 visa, which has no lottery and is easier to obtain than the H-1B visa.
Which cities in Washington have the most data manager sponsorship jobs?
Seattle and its surrounding suburbs, including Redmond, Bellevue, and Kirkland, account for the overwhelming majority of data manager sponsorship opportunities in Washington. This concentration reflects the presence of major tech employers headquartered or operating in the region. Spokane sees some activity driven by healthcare systems and regional universities, but the Seattle metro is by far the primary market for sponsored data manager roles.
How to find data manager visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international candidates and filters job listings by visa sponsorship availability, making it straightforward to search for data manager roles in Washington without wading through positions that won't support work authorization. You can filter by state, role type, and visa category to surface employers actively hiring for sponsored data manager positions across Seattle, Bellevue, and other Washington markets.
Are there any Washington-specific factors that affect data manager visa sponsorship?
Washington's high concentration of large tech employers means many companies already have immigration counsel in place, which generally streamlines the sponsorship process compared to states with fewer established tech firms. The Department of Labor's prevailing wage requirements apply to all sponsored roles, and Washington's tech-heavy labor market typically places data manager positions at higher wage tiers, which employers must meet when filing a Labor Condition Application for H-1B sponsorship.
What is the prevailing wage for sponsored data manager jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.