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Semantic Jobs in Portland, OR (NOW HIRING)

Nike

Lead Technical Product Manager

Beaverton, OR · On-site

$173K - $200K/yr

Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers ...

Varsity Tutors

HTML Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of HTML5 semantic elements, document structure, forms and input types, tables, lists, multimedia embedding, accessibility attributes, meta tags, and integration with CSS and JavaScript.

Onto

Senior Business Intelligence Analyst

Hillsboro, OR · On-site

$104K - $156K/yr

Build highquality dashboards, semantic models, and datasets using Microsoft Power BI . * Leverage Microsoft Fabric capabilities-including Lakehouse, Dataflows Gen2, Pipelines, Semantic Models, and ...

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers ...

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All JobsSemantic JobsSemantic Jobs in Portland, OR

Semantic information

See Portland, OR salary details

$58.9K

$125.9K

$184K

How much do semantic jobs pay per year?

As of Aug 15, 2026, the average yearly pay for semantic in Portland, OR is $125,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a semantic job?

A Semantic job typically involves working with meaning and context in language, data, or technology. It may include roles in natural language processing (NLP), knowledge representation, search engine optimization (SEO), or semantic web technologies. Professionals in this field develop algorithms, ontologies, and models to improve understanding and classification of information. These jobs are common in AI, data science, and digital marketing industries.

What is the difference between Semantic vs Data Analyst?

AspectSemanticData Analyst
Required CredentialsBackground in linguistics, computer science, or related fields; knowledge of semantic web technologiesDegree in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, often in tech or AI companies, working on language understandingBusiness or research settings, analyzing data to inform decisions
Industry UsageUsed in AI, NLP, and semantic web projectsUsed across finance, marketing, healthcare, and other sectors
Common Search/ComparisonSemantic vs Data Analyst

Semantic professionals focus on understanding and structuring meaning in language and data, often working with AI and NLP technologies. Data Analysts interpret data sets to generate insights for business decisions. While both roles involve data, Semantic roles emphasize language and knowledge representation, whereas Data Analysts focus on statistical analysis and reporting.

What are the key challenges faced by semantic engineers when implementing knowledge graphs in large organizations?

Semantic Engineers often encounter challenges related to integrating disparate data sources, ensuring data quality, and aligning ontologies across departments. In large organizations, there can be legacy systems and inconsistent data formats, making it difficult to create a unified semantic model. Additionally, Semantic Engineers must collaborate closely with data architects, subject matter experts, and software developers to ensure the knowledge graph accurately reflects the organization's information needs and remains scalable as requirements evolve.

What are the key skills and qualifications needed to thrive as a semantic analyst, and why are they important?

To thrive as a Semantic Analyst, you need expertise in linguistics, natural language processing (NLP), data analysis, and a relevant degree such as linguistics, computer science, or information science. Familiarity with tools like Python, NLP libraries (e.g., NLTK, spaCy), and semantic annotation systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex language data and collaborate with technical teams. These competencies are vital to accurately extract, structure, and apply meaning from language data, driving insights and solutions in various industries.

What are popular job titles related to Semantic jobs in Portland, OR?

For Semantic jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Semantic jobs in Portland, OR look for?

The top searched job categories for Semantic jobs in Portland, OR are:

Semantic jobs near you
Infographic showing various Semantic job openings in Portland, OR as of August 2026, with employment types broken down into 84% Full Time, 9% Part Time, and 7% Contract. Highlights an 72% Physical, 7% Hybrid, and 21% Remote job distribution, with an average salary of $125,854 per year, or $60.5 per hour.

Lead Technical Product Manager

Nike

Beaverton, OR • On-site

$173K - $200K/yr

Full-time

Posted 23 days ago

Nike rating

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers

Job description

LEAD, TECHNICAL PRODUCT MANAGER - NIKE
[Beaverton, OR - USA]
WHO YOU'LL WORK WITH
Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.
WHO WE ARE LOOKING FOR
We're looking for a Lead Technical Product Manager to own the BI and analytics product strategy within Nike's CP&I organization. This role serves as the insights product leader for CP&I's primary capability areas - Merchandising, Apparel Product Creation, and Footwear Product Creation - ensuring a single semantic layer drives consistent metrics and KPIs across workflow and operations in every modality and surface area.
The candidate will be the accountable product owner for curating the governed metric catalog, prioritizing the metric roadmap against FY plan commitments, and surfacing metric gaps before they block business decisions. We're seeking someone who is fluent in the metrics and data that drive decisions for every persona in their domain, and who can partner deeply with capability product managers, business users, and analytics engineering peers to deliver one consistent semantic data model and metrics catalog.
The ideal candidate brings strong product leadership, technical fluency across modern analytics platforms, and the ability to translate complex business workflows into clear product requirements. Success in this role requires exceptional stakeholder management, a data-driven mindset, and the ability to coordinate delivery across concurrent tool rollouts and enterprise consumers.
  • Bachelor's degree or equivalent combination of education, experience, or training
  • 5+ years of experience in product management, analytics product ownership, or business intelligence, with demonstrated expertise in metrics governance and semantic layer strategy
  • Proven experience curating metric catalogs, defining KPIs, and driving analytics delivery across multiple tools and modalities (e.g., Tableau, Databricks, Web applications)
  • Strong partnership skills with cross-functional stakeholders including product managers, engineering teams, and business users across complex, matrixed organizations
  • Experience assessing data impact, sequencing analytics rollouts, and aligning metric roadmaps to named business outcomes and capability delivery timelines

Preferred qualifications:
  • Experience with Databricks Lakehouse, Databricks Metrics Views, Databricks Unity Catalog or similar governed data catalog platforms
  • Familiarity with retail consumer product creation and merchandising workflows
  • Experience influencing product strategy and driving alignment across multiple stakeholders in a technical analytics or data product environment

WHAT YOU'LL WORK ON
You'll shape how Nike's CP&I organization measures, decides, and delivers - owning the product vision and roadmap for a governed metric catalog and semantic layer that brings consistency to analytics across Merchandising, Design, and Development. This is strategic, cross-functional product leadership at the intersection of business outcomes and enterprise data platforms.
  • Own metric catalog curation and governance - disposition metrics across Tableau, Smartsheet, Airtable, and Excel, and activate a governed catalog through Unity Catalog with explicit keep, adapt, and deprecate decisions
  • Drive metric prioritization and roadmap ownership, sequencing which metrics matter most against FY plan commitments, release cycles, and capability delivery outcomes in partnership with capability product managers and business stakeholders
  • Identify metric gaps for emerging strategies before they block decisions, and co-author new metric definitions with the business as the entry point for analytics engineering work
  • Assess input data impact for new or changed capability data - determining whether requirements extend existing Product Data Foundation entities or require new attributes, and surfacing dependencies across enterprise KPIs and data domains
  • Define analytics delivery modality strategy - deciding where each metric is served from (Tableau, Databricks, Web applications), what actions it drives, and eliminating bespoke, inconsistent calculations
  • Coordinate cross-tool sequencing and timing for metric and modality changes across concurrent tool rollouts and business-process shifts with downstream consumers
  • Partner with data and analytics engineering and capability product managers to deliver prioritized metric roadmaps tied to named business outcomes

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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