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Ai Data Analytics Jobs in Oregon (NOW HIRING)

Identify opportunities to expand phData services, including AI and analytics offerings, within ... Background in AI, data, and analytics projects, with familiarity across modern data stacks such as ...

Enterprise Architects provide technical leadership across analysis, design, facilitation, and execution , supporting the evolution of enterprise Data, Analytics, and AI capabilities and the ...

Enterprise Architects provide technical leadership across analysis, design, facilitation, and execution , supporting the evolution of enterprise Data, Analytics, and AI capabilities and the ...

Senior AI / Data Science Engineer

Hillsboro, OR ยท On-site

$115K - $156K/yr

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a ... Analyze large-scale manufacturing datasets to identify yield detractors, process excursions, root ...

Senior Product Manager, AI & Data

OR ยท On-site +1

$126K - $166K/yr

Shape and deliver data and AI platforms/products that solve real business problems, partnering with architects, engineers, analysts, and change leaders. * Turn business goals into clear requirements ...

$63.75 - $82/hr

Our services include AI Implementation, Application Modernization, Data & Analytics, Product Engineering, AI-Accelerated Delivery, and Embedded Engineering Teams. We deliver agentic workflows in 8-12 ...

Director, Revenue Strategy, Data & Analytics

OR ยท On-site +1

$180K - $205K/yr

AI-Enabled GTM Execution: Intentionally identify, pilot, and scale AI tooling to automate analytics ... Strong SQL and data modeling skills, with hands-on experience in BI/analytics tools (e.g., Tableau ...

Senior Program Manager, AI & Data

OR ยท On-site +1

$115K - $116K/yr

Deep experience with multi-workstream initiatives (ideally data platforms, analytics, cloud, AI/ML) and strong command of Agile/iterative delivery. * Commercial & financial ownership: Experience ...

Senior Data Analyst

OR ยท On-site +1

$85K - $108K/yr

Leverage AI & Next-Generation Analytics - Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and ...

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Ai Data Analytics information

See Oregon salary details

$25

$57

$99

How much do ai data analytics jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ai data analytics in Oregon is $57.88, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $65.58 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

What job categories do people searching Ai Data Analytics jobs in Oregon look for?

The top searched job categories for Ai Data Analytics jobs in Oregon are:

What cities in Oregon are hiring for Ai Data Analytics jobs?

Cities in Oregon with the most Ai Data Analytics job openings:

Infographic showing various Ai Data Analytics job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,397 per year, or $57.9 per hour.

Sr. Director, Data & Analytics

KEEN Footwear

Portland, OR โ€ข On-site

Full-time

Re-posted 14 days ago


Job description

Job Summary

The Senior Director, Data & Analytics is a strategic enterprise leader responsible for shaping KEEN'sย data, analytics, SAP S/4HANA transformation, and AI-enabled operating model. This role is accountableย for building the data foundation that enables trusted insight, intelligent decision-making, and scalableย automation across the business.

This position goes beyond traditional analytics leadership. It connects business strategy, enterpriseย systems, and data architecture to create measurable advantage across merchandising, DTC, wholesale,ย supply chain, finance, and global operations. The Senior Director will partner closely with business andย technology leaders to translate KEEN's transformation priorities into scalable data capabilities, modernย analytics, AI readiness, and actionable decision support.

Success in this role requires deep SAP S/4HANA and data leadership experience, strong businessย acumen, and the ability to build the data foundation needed for an AI-enabled enterprise.

Essential Functions

Description

  • Lead data and analytics readiness for the SAP S/4HANA program, ensuring master data, KPI definitions, reporting needs, and enterprise data structuresย support future-state business processes.
  • Define and communicate a compelling enterprise data & AI vision that supports KEEN's commercial strategy, growth ambitions, and long-rangeย planning.
  • Lead enterprise data architecture and platform direction, ensuring scalability, governance, reliability, and future AI enablement.
  • Develop and lead KEEN's AI data readiness strategy, enabling predictive insights, automation, personalization, and intelligent decision support.
  • Identify and prioritize high-impact analytics and AI opportunities across merchandising, DTC, wholesale, supply chain, and finance to deliverย measurable business outcomes.
  • Establish enterprise data governance standards, KPI harmonization, and decision rights to improve trust, consistency, and usability of information.
  • Build and develop a high-performing team of Data Architects, Data Engineers, and Technical Data Analysts; strengthen the broader analystย community through education and capability building.
  • Serve as a trusted advisor to executive leadership and communicate progress through business impact metrics, adoption, and value delivered.

Please note this job description is not designed to contain a comprehensive listing of activities, duties, orย responsibilities that are required of the employee for this job. Duties responsibilities and activities mayย change at any time with or without cause.

Qualifications

  • Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required.
  • Master's Degree in Technology, Analytics, or Business Leadership focus preferred.
  • Minimum twelve (12) years of progressive experience in data, analytics, or digital transformation leadership.
  • Minimum of five (5) years leading enterprise-scale data or analytics teams.
  • Strong SAP S/4HANA background required, including experienceย supporting enterprise process transformation and data readiness required.
  • Strong retail, consumer goods, footwear, apparel, or omnichannelย commerce experience required.
  • Demonstrated success applying data, analytics, and enterprise systemsย to improve revenue growth, margin, inventory optimization, demandย forecasting, customer engagement, or operational efficiency required.
  • Experience leading AI readiness or advanced analytics initiatives preferred.
  • Experience operating in federated or hub-and-spoke environments preferred.

Any equivalent combination of experience and education which clearly indicates the ability to perform theย essential functions of the position may substitute on a year for year basis.

Knowledge, Skills, and Abilities

Strategic & Industry Expertise

  • Deep understanding of retail / consumer operating models (DTC, wholesale, merchandising, supply chain, planning, inventory lifecycle).
  • Ability to connect analytics, SAP S/4HANA Embedded analytics, and AI initiatives directly to business KPIs and financial outcomes.
  • Strong business acumen with the ability to quickly understand operating nuances and market dynamics.
  • Visionary mindset with the ability to articulate a practical enterprise transformation roadmap.

Technology & Architecture Leadership

  • Strong knowledge of SAP S/4HANA and how ERP design impacts data, reporting, and decision-making.
  • Expertise in enterprise data architecture, cloud data platforms, BI ecosystems, and integration frameworks.
  • Experience building governed semantic layers and standardized KPI frameworks.
  • Strong understanding of AI/ML enablement, data quality frameworks, and responsible AI governance.
  • Ability to build the data foundation required for scalable AI use cases.

Leadership & Organizational Impact

  • Proven ability to influence executives and senior business leaders.
  • Strong change management and communication skills.
  • Experience building and scaling enterprise capability functions and cross-functional teams.
  • Ability to unify technical and business stakeholders around shared goals.
  • Demonstrated ability to balance innovation with operational excellence.

Travel Required:ย Yes, 5% of the time.

Base Salary: $217,600.00 - $229,615.00

The salary range posted for this position represents the anticipated hiring range for this role. Offers are made within this range based on factors such as relevant experience, skills, education, internal equity, and market considerations. This is the hiring range for the position; compensation above the posted maximum is not typically available at the time of offer.

Work Location: Hybrid

This role is based in the Portland, OR area and follows a hybrid work model. Employees are expected to reside within a reasonable commuting distance of our Portland office and generally work on-site four days per week, with flexibility based on business and team needs.

Why Work at KEEN:ย ย Driven by a passion for life outside, KEEN is a values-led, independently owned brand from Portland, Oregon, that's on a mission to create original and versatile products, improve lives, and inspire outside adventure. Founded in 2003, KEEN launched a revolution in the footwear industry with the introduction of the Newport adventure sandal and has donated more than $18 million to non-profit organizations and causes around the world to promote responsible outdoor recreation, including conservation efforts to protect open spaces. KEEN strives to show the world through its products and its actions that a business for good can actually be good for business. By giving back, reducing impact, and activating communities and individuals to protectย the places where we work and play,ย KEEN puts its values in motion and takes action to leave the world a better place.ย ย 

At KEEN, we believe in a more just and equitable future for all people. As a global brand, we acknowledge that our business, buildings, and daily lives exist within the traditional territories of indigenous peoples. We strive for a future that recognizes the knowledge, rights, and resilience of these peoples.

Fuerst Group, KEEN, and Chrome are equal opportunity employers.ย  We value an inclusive and diverse community. Qualified candidates of all backgrounds are encouraged to apply and will be considered without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.