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Data Strategy Manager Jobs in Oregon (NOW HIRING)

e.l.f. Beauty

OR · Hybrid

$153K/yr

You will be the product manager for our engagement platform, Customer Data Platform (CDP), AI ... You will own the customer data strategy end-to-end and serve as the internal authority on how each ...

Feed The Children

Data Architect

Portland, OR · On-site +1

$67.50 - $87/hr

... M teams, and coordinate with Data Governance leadership to align data architecture with Microsoft Purview and governance policies. The ideal candidate combines deep technical expertise with strategic ...

Instacart

Staff Software Engineer, Data Infrastructure

OR · Remote

$114K - $137K/yr

Translate Instacart's data strategy (e.g., monetization, federated access, real-time) into an ... FinOps experience optimizing data platform spend, including managing multi-million dollar ...

Milliman

Strategic Data Partnership Manager

Portland, OR · Remote

... management and regulatory compliance, data analytics and business transformation as well as a range ... strategy, life sciences research, and provider performance solutions. We sit in the middle of that.

Hp

Principal Data Solutions Architect

Corvallis, OR · On-site

$147K - $230K/yr

This role is responsible for partnering across solution delivery organizations to define the PWI press data strategy and APIs that integrate our presses with customer factory management systems ...

Liberty Information Technology Limited

... strategy-including GenAI evaluation frameworks and semantic data layers. You'll also serve as a ... Ability to give effective training and presentations to management and other groups. * Ability to ...

NeuraFlash, Part of Accenture

OR · On-site

$69 - $85.50/hr

As a Data Architect - Salesforce CRM Solutions , you will lead the strategy, design, and execution of complex data architecture and migration initiatives that support Salesforce CRM implementations ...

Aptive

$114K - $137K/yr

... data strategy. * Collaborate with Data Strategists, Data Analysts, and Solutions Developers to ... Support data governance initiatives, including metadata management, auditability, and lineage ...

New

Slalom Consulting

General Information

Portland, OR · On-site

... data-informed, AI-enabled, and built to last. Customer Strategy at Slalom integrates Research ... What You'll Bring • 8+ years of experience in customer experience, strategy, or management ...

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All JobsData Strategy JobsData Strategy Manager JobsData Strategy Manager Jobs in Oregon

Data Strategy Manager information

See Oregon salary details

$32.8K

$102.7K

$181.9K

How much do data strategy manager jobs pay per year?

As of Jul 25, 2026, the average yearly pay for data strategy manager in Oregon is $102,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $132,700.00 per year, depending on experience, location, and employer.

Is strategy a high paying job?

A Data Strategy Manager typically earns a competitive salary that reflects their expertise in data analysis, strategic planning, and leadership. Salaries vary by industry, experience, and location but are generally above average compared to many other roles in data and management fields.

What does a data strategy manager do?

A data strategy manager develops and implements plans to effectively collect, manage, and utilize data within an organization. They align data initiatives with business goals, oversee data governance, and often work with analytics tools and teams to improve decision-making processes.

What are the 5 pillars of data strategy?

For a Data Strategy Manager, the five pillars typically include data governance, data quality, data architecture, data analytics, and data security. These pillars ensure effective data management, compliance, and insights to support business objectives. Developing a comprehensive data strategy involves aligning these pillars with organizational goals and leveraging tools like data warehouses and analytics platforms.

What is the difference between Data Strategy Manager vs Data Analyst?

AspectData Strategy ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related fields; often certifications in data management or analyticsBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentStrategic planning, cross-department collaboration, executive meetingsData collection, analysis, reporting, and visualization
Employer & Industry UsageUsed in corporate, tech, finance sectors focusing on data-driven strategiesCommon across various industries for data reporting and insights

The Data Strategy Manager focuses on developing and implementing data-driven strategies to support business goals, often working with leadership. In contrast, a Data Analyst primarily analyzes data sets to generate reports and insights. While both roles require strong analytical skills, the Manager role emphasizes strategic planning and leadership, whereas the Analyst role centers on data analysis and visualization.

What are some common challenges Data Strategy Managers face when aligning data initiatives with business goals?

Data Strategy Managers often encounter challenges such as bridging the gap between technical teams and business stakeholders, ensuring that data initiatives directly support organizational objectives. They must balance ambitious data-driven projects with limited resources and sometimes unclear priorities from leadership. Additionally, navigating data governance, privacy concerns, and legacy systems can complicate efforts to create unified strategies. Effective communication and stakeholder management are key to overcoming these obstacles and driving business value.

What is the highest paying data job?

The highest paying data job is typically a Chief Data Officer or Data Executive, with salaries often exceeding $150,000 annually, especially in large organizations. Senior roles such as Data Architects or Data Science Directors also command high salaries due to their expertise in data management, analytics, and strategic planning.

What are the key skills and qualifications needed to thrive as a Data Strategy Manager, and why are they important?

To thrive as a Data Strategy Manager, you need expertise in data analytics, business intelligence, and strategic planning, often supported by a degree in data science, business, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), data management systems, and possibly certifications in data governance or analytics is highly valuable. Strong communication, leadership, and stakeholder management skills help bridge technical and business teams while driving data initiatives. These competencies are crucial for aligning data-driven insights with organizational goals and ensuring impactful decision-making.
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 cities in Oregon are hiring for Data Strategy Manager jobs? Cities in Oregon with the most Data Strategy Manager job openings:
Data Strategy Manager jobs near you
Infographic showing various Data Strategy Manager job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,710 per year, or $49.4 per hour.
Product Manager, Marketing Technology

Product Manager, Marketing Technology

e.l.f. Beauty

OR • Hybrid

$153K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

About the Company
 
e.l.f. Beauty, Inc. stands with every eye, lip, face, paw and fin. 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, Well People - clean beauty powered by plants, Naturium - high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode skin - developed by Hailey Rhode Bieber, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it's a daily routine that nourishes your skin barrier over time
 
In our Fiscal year 26, we had net sales of $1.6 Billion and our business performance has been nothing short of extraordinary with 29 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. 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
$80,000 - $130,000 a year
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.
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