Experience with content management systems, taxonomy design, or information architecture ... Experience with data visualization or reporting tools to communicate knowledge health metrics and ...
Experience with content management systems, taxonomy design, or information architecture ... Experience with data visualization or reporting tools to communicate knowledge health metrics and ...
Associate Principal Analyst, Responsible AI Governance
Seattle, WA · On-site
$150 - $200/hr
A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and ... Bachelor's degree or equivalent practical experience. * 7 years of experience in data analytics ...
Associate Principal Analyst, Responsible AI Governance
Seattle, WA · On-site
$150 - $200/hr
A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and ... Bachelor's degree or equivalent practical experience. * 7 years of experience in data analytics ...
... data quality across project reporting; ensure input discipline with team members and maintain taxonomy standards. - Partner with the technical program management team on tooling redesigns to meet ...
... data quality across project reporting; ensure input discipline with team members and maintain taxonomy standards. - Partner with the technical program management team on tooling redesigns to meet ...
... data quality across project reporting; ensure input discipline with team members and maintain taxonomy standards. - Partner with the technical program management team on tooling redesigns to meet ...
... data quality across project reporting; ensure input discipline with team members and maintain taxonomy standards. - Partner with the technical program management team on tooling redesigns to meet ...
... data quality across project reporting; ensure input discipline with team members and maintain taxonomy standards. - Partner with the technical program management team on tooling redesigns to meet ...
... data quality across project reporting; ensure input discipline with team members and maintain taxonomy standards. - Partner with the technical program management team on tooling redesigns to meet ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... data quality, process adherence, and cross-functional handoffs. Develop and maintain a taxonomy of ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... data quality, process adherence, and cross-functional handoffs. Develop and maintain a taxonomy of ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... data quality, process adherence, and cross-functional handoffs. Develop and maintain a taxonomy of ...
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... data quality, process adherence, and cross-functional handoffs. Develop and maintain a taxonomy of ...
Bachelor's degree or equivalent practical experience. * 7 years of experience in data analytics ... A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and ...
Bachelor's degree or equivalent practical experience. * 7 years of experience in data analytics ... A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and ...
... Data & AI organization. You'll build and run our enterprise AI governance framework, setting the ... Build and lead a team of specialists across model validation, guardrails engineering, regulatory ...
... Data & AI organization. You'll build and run our enterprise AI governance framework, setting the ... Build and lead a team of specialists across model validation, guardrails engineering, regulatory ...
Senior SEO & AI Search Lead
Redmond, WA · On-site
Influence product feed, catalog, and taxonomy quality so Microsoft's pages, feeds, and partner ... specialist audiences. * Influence across teams without direct authority, creating clarity in ...
Senior SEO & AI Search Lead
Redmond, WA · On-site
Influence product feed, catalog, and taxonomy quality so Microsoft's pages, feeds, and partner ... specialist audiences. * Influence across teams without direct authority, creating clarity in ...
Data Taxonomy Specialist information
See Bothell, WA salary details
$31.3K - $37.4K
3% of jobs
$37.4K - $43.5K
5% of jobs
$43.5K - $49.6K
9% of jobs
$49.6K - $55.7K
6% of jobs
$56.5K is the 25th percentile. Wages below this are outliers.
$55.7K - $61.8K
6% of jobs
$61.8K - $67.9K
4% of jobs
$67.9K - $74K
2% of jobs
$74K - $80.1K
2% of jobs
$80.1K - $86.2K
0% of jobs
$86.2K - $92.3K
1% of jobs
The median wage is $93.3K / yr.
$92.3K - $98.4K
60% of jobs
$31.3K
$81.5K
$98.4K
How much do data taxonomy specialist jobs pay per year?
As of Sep 7, 2026, the average yearly pay for data taxonomy specialist in Bothell, WA is $81,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $97,300.00 per year, depending on experience, location, and employer.
What is a data taxonomy specialist?
A Data Taxonomy Specialist is a professional responsible for designing, implementing, and managing data classification systems within an organization. They create frameworks that organize and categorize data, making it easier to store, retrieve, and analyze information efficiently. Their work ensures data consistency, improves data governance, and facilitates compliance with data regulations. Data Taxonomy Specialists often collaborate with data scientists, data engineers, and business stakeholders to align taxonomy structures with organizational goals.
What are the key skills and qualifications needed to thrive as a data taxonomy specialist?
To thrive as a Data Taxonomy Specialist, you need a solid background in information science, data management, and taxonomy or ontology frameworks, often supported by a degree in library science, information systems, or a related field. Familiarity with metadata standards, data cataloging tools (such as Collibra or Alation), and taxonomy management software is crucial. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate across teams and ensure consistent data classification. These skills are vital for organizing complex data assets, improving discoverability, and supporting data governance in organizations.
How does a data taxonomy specialist typically collaborate with data engineers and business analysts within an organization?
A Data Taxonomy Specialist plays a central role in bridging the gap between technical teams and business units. They work closely with data engineers to ensure that data classifications, hierarchies, and naming conventions are consistently implemented across databases and systems. At the same time, they collaborate with business analysts to understand reporting needs and user requirements, helping to design taxonomies that make data easier to locate and interpret. This collaboration ensures both data accuracy and usability, directly supporting data governance and strategic business initiatives.
What is the difference between Data Taxonomy Specialist vs Data Analyst?
| Aspect | Data Taxonomy Specialist | Data Analyst |
|---|---|---|
| Primary Focus | Developing and managing data classification systems and taxonomies | Analyzing data to generate insights and reports |
| Skills & Certifications | Knowledge of data management, taxonomy tools, metadata standards | Statistical analysis, data visualization, SQL, Excel |
| Work Environment | Data governance teams, information management departments | Business units, analytics teams, reporting departments |
| Industry Usage | Used in data management, data governance, and information architecture | Used across industries for decision-making and reporting |
The Data Taxonomy Specialist focuses on creating and maintaining data classification systems, ensuring data is organized and accessible. In contrast, a Data Analyst interprets data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.
How to become a data taxonomy specialist?
To become a data taxonomy specialist, develop expertise in data management, classification, and metadata standards, often through a degree in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and industry standards like Dublin Core or ISO can be beneficial, along with certifications such as Certified Data Management Professional (CDMP).
What are popular job titles related to Data Taxonomy Specialist jobs in Bothell, WA?
For Data Taxonomy Specialist jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Data Taxonomy Specialist jobs?
Cities near Bothell, WA with the most Data Taxonomy Specialist job openings:
Meta rating
7.8
Based on 45 frontline employees who took The Breakroom Quiz
139th of 247 rated software companies
Job description
Meta is seeking a Knowledge Intelligence Specialist who believes the future of HR knowledge belongs in everyone's hands. This role supports our People Operations Knowledge Intelligence Program, helping evolve how company knowledge is discovered, shared, and used by moving to AI-powered systems that put intelligent, personalized knowledge directly in the hands of every employee. You'll support the implementation of a knowledge management framework across HR domains — one designed not just to organize information, but to deliver smart insights that empower people to make proactive decisions about their work, their teams, and their careers.
Knowledge Intelligence Specialist Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Knowledge Intelligence Specialist Responsibilities:
- Assess opportunities from stakeholders to ensure alignment with Knowledge Intelligence Program goals and business priorities
- Lead complex, multi-team initiatives spanning AI integration, system implementations, and organizational change to build and test new knowledge solutions
- Coordinate and lead project meetings — kick-offs, status updates, and retrospectives — and provide regular updates, escalating issues as needed
- Monitor and report on program status and progress, raise awareness of roadblocks, and action tactical activities
- Identify and mitigate project risks, develop contingency plans, and define success metrics for AI-powered knowledge projects using data and business outcomes
- Create and implement AI-driven systems for knowledge discovery and recommendation, uncovering key insights across HR domains
- Inform how we build smart content systems to automate content creation, tagging, and optimization
- Conduct strategic knowledge assessments using predictive analytics to identify information gaps and anticipate organizational needs
- Collaborate with cross-functional partners to build AI-powered content personalization, dynamic knowledge delivery, and new knowledge experiences
- Participate in testing AI solutions for HR knowledge and employee self-service
- Influence forward-looking knowledge management by applying trend analysis, emerging technologies, and innovation to align our strategy with long-term organizational goals
- Support change management for AI adoption and tooling initiatives across HR teams
- Participate in workshops, meetings, and trainings to promote, maintain, and improve knowledge management across the organization
Minimum Qualifications:
- Currently has, or is in the process of obtaining a Bachelor's degree in a directly related field, or equivalent practical experience. Degree must be completed prior to joining Meta
- 4+ years of experience in strategic program management, HR technology, knowledge management, or organizational development
- Proven track record of successfully managing content and/or knowledge management projects from concept to launch
- Demonstrated experience with AI-powered content management systems or intelligent automation platforms
- Hands-on experience applying AI to knowledge retrieval and employee self-service
- Experience defining success metrics and evaluating ROI for AI-powered initiatives using data-driven approaches
- Experience in scenario planning, trend analysis, and future-focused program design
- Experience communicating complex AI concepts in writing and presentations to both technical and non-technical stakeholders with the ability to translate complex AI concepts for diverse audiences and drive organizational change
- Experience collaborating with diverse teams in fast-paced, ambiguous environments while executing independently as priorities evolve
Preferred Qualifications:
- Certification in knowledge management
- Knowledge of responsible AI implementation in HR contexts
- Experience with content management systems, taxonomy design, or information architecture
- Background in change management frameworks or certifications
- Experience with data visualization or reporting tools to communicate knowledge health metrics and program outcomes to leadership
- Experience working with international partners across different time zones and cultures
- Experience in a Big Tech environment
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$99,000/year to $144,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$99,000/year to $144,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
About Meta
Sourced by ZipRecruiter
Industry
Internet and it, media and telecom and software development
Company size
10,000+ Employees
Headquarters location
Menlo Park, CA, US