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Data Strategy Jobs in Oregon (NOW HIRING)

e.l.f. Beauty

Product Manager, Marketing Technology

OR · On-site +1

$80K - $130K/yr

You will own the customer data strategy end-to-end and serve as the internal authority on how each data point is defined, collected, mapped, and activated downstream. This role requires someone who ...

e.l.f. Beauty

Product Manager, Marketing Technology

OR · On-site +1

$153K/yr

You will own the customer data strategy end-to-end and serve as the internal authority on how each data point is defined, collected, mapped, and activated downstream. This role requires someone who ...

AVITRU

Sr Data Strategist

OR · On-site +1

$121K - $156K/yr

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the ...

ConnectWise

IT Enterprise Data Architect

OR · On-site +1

Leads data architecture activities related to mergers and acquisitions, including data mapping, integration strategy, and enterprise data alignment. * Partners closely with Data Engineering and ...

The Motley Fool

Senior Business Intelligence Engineer

OR · On-site +1

$51 - $66.25/hr

Our Business Intelligence (BI) team plays a critical role in designing, building, and maintaining the data infrastructure that powers strategic decision-making across the entire organization. We ...

NetBrain

Director, Revenue Strategy, Data & Analytics

OR · On-site +1

$180K - $205K/yr

What We Need The Director, Revenue Strategy, Data & Analytics is the business's "brain trust" - equal parts strategist and data scientist. This role owns the annual operating plan (AOP), forecasting ...

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Showing results 21-40

All JobsData Strategy JobsData Strategy Jobs in Oregon

Data Strategy information

See Oregon salary details

$24.4K

$113.5K

$211K

How much do data strategy jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data strategy in Oregon is $113,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,784.00 and $144,624.00 per year, depending on experience, location, and employer.

What is a data strategy?

A Data Strategy job focuses on defining and implementing an organization's approach to data management, governance, and utilization. Professionals in this role ensure that data is aligned with business goals, enabling better decision-making and competitive advantage. They work on data policies, frameworks, and analytics strategies while collaborating with stakeholders across IT, business, and data teams. The role often involves assessing data quality, strategic planning for data infrastructure, and identifying opportunities for data-driven innovation.

What are the key skills and qualifications needed to thrive in data strategy?

To thrive in Data Strategy, you need strong analytical skills, business acumen, experience with data governance, and typically a degree in data science, analytics, or a related field. Familiarity with tools such as SQL, BI platforms (like Tableau or Power BI), and data management systems, along with certifications such as CDMP or DAMA, are often required. Excellent communication, stakeholder management, and problem-solving skills set top professionals apart in this domain. These abilities are vital for bridging technical and business teams to drive actionable strategies and maximize data-driven value for organizations.

What are some typical projects or initiatives a data strategy professional works on?

Data Strategy professionals often lead projects related to developing enterprise data roadmaps, improving data quality standards, implementing data governance frameworks, and aligning analytics initiatives with business objectives. They may be involved in launching new data platforms, advising on data privacy compliance, or collaborating on cross-functional teams to ensure data is effectively leveraged for decision-making. The role usually requires partnering with IT, analytics, and business units to coordinate efforts and ensure alignment with organizational priorities.

What does a data strategist do?

A data strategist develops and implements data management and analytics strategies to help organizations make informed decisions. They analyze data, establish data governance policies, and collaborate with teams to align data initiatives with business goals, often using tools like SQL, data visualization software, and analytics platforms.

What does a data strategy do?

A data strategy defines how an organization manages, uses, and governs its data to support business goals. A data strategist develops plans for data collection, storage, quality, security, and analytics, often utilizing tools like data warehouses and governance frameworks. This role ensures data is reliable, accessible, and aligned with organizational priorities.

What are the most commonly searched types of Data Strategy jobs in Oregon?

The most popular types of Data Strategy jobs in Oregon are:

What are popular job titles related to Data Strategy jobs in Oregon?

For Data Strategy jobs in Oregon, the most frequently searched job titles are:

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

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

What cities in Oregon are hiring for Data Strategy jobs?

Cities in Oregon with the most Data Strategy job openings:

Data Strategy jobs near you
Infographic showing various Data Strategy job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,542 per year, or $54.6 per hour.

Product Manager, Marketing Technology

e.l.f. Beauty

OR • On-site, Remote

$80K - $130K/yr

Full-time

Re-posted 2 days ago

Job description

About the Company
 
e.l.f. Beauty's purpose is to make the world a better place for every eye, lip, and face. 
 
Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, e.l.f. Hair, Well People, Naturium and rhode.
 
In our Fiscal year 26, we had net sales of $1.6 Billion and our business performance has been nothing short of extraordinary with 7 consecutive years of net sales growth. This consistent, category-leading growth is a testament to the strength of our team, strategy, and portfolio of brands. 
 
Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last seven fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. 
 
Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us

About the Role

e.l.f. Beauty is looking for a Product Manager, Marketing Technology to own the strategy, roadmap, and execution of our marketing technology ecosystem. This is a technical, data-forward product role embedded within the Digital team — sitting at the intersection of customer data, platform architecture, and activation.

You will be the product manager for our engagement platform, Customer Data Platform (CDP), AI-driven personalization, and the integrations that depend on customer data. The core mission of this role is to unlock the full value of our customer data: making it clean, accessible, well-mapped, and actionable across paid media, owned messaging, personalization, and commerce. You will own the customer data strategy end-to-end and serve as the internal authority on how each data point is defined, collected, mapped, and activated downstream.

This role requires someone who is equally comfortable in a technical architecture conversation as they are presenting a product roadmap to senior stakeholders. You will partner closely with Product, Commerce, Data, Integrated Marketing, and Engineering to deliver scalable, reliable, and future-ready platforms that drive measurable business outcomes.

What You'll Own:
  • Customer Data Platform (CDP): Full product ownership of the CDP — from data ingestion and identity resolution through audience segmentation, profile unification, and downstream activation.
  • Engagement Platform: Own the product roadmap for our customer engagement and lifecycle messaging platform (e.g., email, SMS, push), ensuring it is powered by accurate and real-time customer data.
  • AI Agents: Partner with Engineering and Data to define, build, and deploy AI agents that leverage customer data to unlock key marketing use cases across the organization — including audience activation, personalized messaging, paid media optimization, and lifecycle automation.
  • Integrations & Data Pipelines: Own the integration layer connecting customer data to paid media platforms, ad tech, CRM, commerce, and analytics — ensuring data fidelity, latency, and governance at every connection point.
  • Customer Data Strategy: Define and maintain the company's customer data strategy, including data taxonomy, schema ownership, event instrumentation standards, consent management, and cross-platform identity resolution.
Responsibilities:
Platform & Product Strategy
  • Define and execute a multi-quarter product roadmap across the MarTech stack
  • Own the end-to-end product lifecycle: discovery, requirements, backlog prioritization, delivery, and post-launch iteration
  • Drive build vs. buy decisions with rigorous evaluation of third-party vendors and platform consolidation opportunities
  • Serve as the internal subject matter expert on CDP capabilities, limitations, and the broader MarTech ecosystem
Customer Data Ownership
  • Maintain the master customer data dictionary: own how every data point is defined, collected, stored, mapped, and used across platforms
  • Architect identity resolution and profile management strategies to support a unified customer view across channels and touchpoints
  • Partner with Data team to define event streaming standards, schema governance, and data quality
  • Ensure all customer data integrations are compliant with privacy regulations (GDPR, CCPA, CAN-SPAM) and internal consent policies
Activation & Use Case Delivery
  • Translate marketing and business strategy into specific platform capabilities — enabling personalization, audience activation, lifecycle messaging, and paid media targeting
  • Define audience segmentation models and work with data and engineering teams to operationalize them within the CDP
  • Enable real-time and batch data activation to downstream channels: email, SMS, push, paid social, programmatic display, and onsite personalization
  • Partner with the Integrated Marketing team to ensure data availability and accuracy for campaign execution across all channels
Cross-Functional Collaboration
  • Act as the primary liaison between the Digital team and Engineering, Data, Commerce, Product, and Integrated Marketing stakeholders
  • Translate complex technical concepts clearly for non-technical marketing and business audiences — and vice versa
  • Manage vendor relationships for CDP, engagement, and AI platforms; own contract alignment and technical roadmap negotiations
  • Align platform priorities with the broader digital product strategy and commerce roadmap
Requirements:
  • 3-5 years of product management experience, with a significant focus on marketing technology, customer data platforms, or digital data infrastructure
  • Hands-on, working knowledge of CDP platforms
  • Demonstrated experience owning an engagement or lifecycle marketing platform (e.g., Braze, Salesforce Marketing Cloud, Iterable, or similar)
  • Deep understanding of customer data concepts: identity resolution, event-driven architectures, behavioral data, first-party data strategy, audience segmentation, and real-time profile unification
  • Strong grasp of API integrations, data pipelines, and system architecture — able to work fluently with engineering on technical design
  • Experience defining and managing data schemas, event taxonomies, and data mapping documentation
  • Proven track record of shipping complex, cross-functional platform products in an agile environment
The base salary range for this role is listed above. 
 
Total compensation includes base salary, annual company-based performance bonus, and equity. Under e.l.f.’s annual bonus program, employees are eligible to earn up to 200% of their target bonus when company performance exceeds defined goals. In addition, e.l.f. provides a variety of other benefits to employees, including medical, dental, and vision insurance, a retirement savings plan, gender neutral parental leave, and unlimited paid time off. The amount of total compensation (including base salary) offered will be based on a wide range of factors, including geographic location, experience, specific skills, and qualifications.
 
Compensation components are subject to change at the company’s discretion
 
This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors’ discretion.
 
e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice (www.elfbeauty.com/us-job-applicant-privacy-notice) for how your personal information is used and shared.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.