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Data Strategy Manager Jobs in Portland, OR (NOW HIRING)

Data Protection, Manager

Portland, OR ยท On-site

$150K - $178K/yr

As a Data Protection Manager, you'll lead the delivery of data protection and data governance ... Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

Analyze claims and cost savings data to drive insights for reporting and product improvement ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

Showing results 41-60

Data Strategy Manager information

See Portland, OR salary details

$32.9K

$103K

$182.4K

How much do data strategy manager jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data strategy manager in Portland, OR is $103,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $133,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data strategy manager?

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 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 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 the most commonly searched types of Data Strategy jobs in Portland, OR?

The most popular types of Data Strategy jobs in Portland, OR are:

What cities near Portland, OR are hiring for Data Strategy Manager jobs?

Cities near Portland, OR with the most Data Strategy Manager job openings:

Infographic showing various Data Strategy Manager job openings in Portland, OR as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $103,023 per year, or $49.5 per hour.

Senior Product Manager | Remote (Portland-based) | Competitive Salary + Benefits | Tech

Portland, OR โ€ข Remote

$134K - $177K/yr

Full-time

Posted 17 days ago


Key responsibilities

  • Set and own a multi-year roadmap for AI-driven products, including optimization, prediction, automation, and generative intelligence.

  • Lead, coach, and grow a team of AI product managers while ensuring strong execution and alignment with technical teams.

  • Drive product design and development of AI components such as models, forecasting engines, and insight-generation systems to ensure scalability, reliability, and user trust.


Job description

Senior Product Manager | Remote (Portland-based) | Competitive Salary + Benefits | Tech


The Company

A high-growth technology organization operates at the intersection of advanced software, data, and digital commerce. This ambitious team is building sophisticated tools that help modern businesses scale more efficiently, combining automation with strategic human insight. With a strong emphasis on learning, accountability, and thoughtful execution, the organization values people who thrive in fast-moving environments and take ownership of meaningful outcomes.


The Role

They are looking for a Senior Product Manager to lead the evolution of their AI capabilities and define how intelligence is embedded across the platform. This role owns the vision for AI-powered systems including optimization engines, generative experiences, predictive forecasting, agent-based workflows, and automated decision-making.

This is a senior, hands-on leadership position for someone who has delivered AI and machine learning products at scale and is comfortable operating at the crossroads of strategy, system design, and execution. The role partners closely with engineering, data science, and executive leadership while guiding a team of AI-focused product managers.


The Responsibilities

  • Set and own a multi-year roadmap for AI-driven products, spanning optimization, prediction, automation, and generative intelligence.
  • Identify emerging technologies and methodologies and translate them into high-impact product initiatives.
  • Define how AI enhances user outcomes across all product surfaces.
  • Lead, coach, and grow a team of AI product managers, encouraging high standards, experimentation, and fast learning cycles.
  • Work deeply with machine learning, data, platform, go-to-market, and customer teams to ensure strong execution.
  • Align senior stakeholders on priorities, tradeoffs, and long-term direction.
  • Partner with technical leaders to shape data strategy, model training approaches, evaluation metrics, and experimentation frameworks.
  • Guide best practices for model deployment, monitoring, governance, explainability, and responsible use.
  • Ensure models continuously improve through feedback loops and structured testing.
  • Drive product design for AI components such as optimization models, forecasting engines, creative intelligence, agent frameworks, and insight-generation systems.
  • Ensure AI systems are scalable, reliable, interpretable, and aligned with real customer needs.
  • Clearly articulate AI strategy, outcomes, and tradeoffs to technical teams, executives, and customer-facing groups.
  • Act as the senior product voice for AI initiatives across the organization.
  • Translate complex technical concepts into compelling business value narratives.
  • Ensure AI features are intuitive, configurable, and trusted by users.
  • Partner with design to create transparent interfaces that explain AI-driven decisions and give users appropriate control.
  • Drive measurable adoption and business impact across customer segments.


The Requirements


  • 8–12+ years of product management experience, with deep exposure to AI- or ML-powered products.
  • Proven track record of delivering and scaling machine learning systems in production environments.
  • Strong technical fluency across model training, evaluation, experimentation, and deployment concepts.
  • Experience leading product managers and influencing senior cross-functional stakeholders.
  • Excellent communication skills with the ability to simplify complexity and align diverse audiences.
  • Highly analytical mindset with comfort in metrics, experimentation, and data-driven decision-making.
  • Background in fast-paced SaaS, advertising technology, retail media, or similar environments.


Preferred experience

  • Experience with advertising platforms, bidding systems, forecasting models, or performance optimization.
  • Hands-on exposure to generative AI, LLMs, or agent-based systems in real-world applications.
  • Mandarin language skills to support cross-regional collaboration.


Apply Now

This is an opportunity to shape the intelligence layer of a platform used at massive scale and to influence how AI delivers real, everyday value for customers. If they are excited by complex systems, big ownership, and building practical AI products that matter, they are encouraged to apply and help define what’s next.


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