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

WinMax Systems Corporation

Systems Analyst

Tualatin, OR · On-site

$35 - $37/hr

... Management software and related processes within the Legal Operations team. The position is ... data, systems, and operations knowledge in conjunction with contract analyses, report development ...

WinMax Systems Corporation

Systems Analyst

Tualatin, OR · On-site

$35 - $37/hr

... Management software and related processes within the Legal Operations team. The position is ... data, systems, and operations knowledge in conjunction with contract analyses, report development ...

OCHIN

MANAGER, EPIC SYSTEMS

Portland, OR · On-site

Position Overview The Manager, Data Systems (Epic) supports the mission of OCHIN by providing strategic leadership, direction, and oversight of the Epic technical platform. This role leads the Epic ...

RXinsider LTD.

Data Architect (Data Platform)

Portland, OR · On-site

$150 - $190/hr

As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data systems that support clinical, operational, and ...

CareOregon

Director, Provider Data Management

Portland, OR · On-site

$155.43 - $189.97/hr

Ensure provider data systems are optimized to enable strategic network management, including accurate and timely claims processing and directory presentation.Effectively use business intelligence and ...

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All JobsData Systems JobsData Systems Manager JobsData Systems Manager Jobs in Portland, OR

Data Systems Manager information

See Portland, OR salary details

$48.8K

$118.8K

$208.9K

How much do data systems manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data systems manager in Portland, OR is $118,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,800.00 and $144,200.00 per year, depending on experience, location, and employer.

What is a data systems manager?

Data Systems Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data management systems. They ensure that data storage, retrieval, and security processes run smoothly, supporting business operations and decision-making. Typically, they manage teams of IT specialists, coordinate with other departments, and stay updated with evolving technologies. Their role is critical for ensuring the accuracy, accessibility, and security of organizational data.

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

AspectData Systems ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like Cisco, Microsoft, or cloud certificationsBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel, Tableau, or SQL
Work EnvironmentIT departments, data management teams, enterprise environmentsBusiness units, marketing, finance, data visualization teams
Employer & Industry UsageTech companies, large corporations, government agenciesMarketing firms, finance companies, consulting agencies

The Data Systems Manager oversees data infrastructure, ensuring systems run efficiently, while the Data Analyst interprets data to provide insights. Both roles require technical skills, but the manager focuses on system management, whereas the analyst emphasizes data analysis and reporting.

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

To excel as a Data Systems Manager, you need expertise in database management, data architecture, and systems integration, often supported by a degree in information technology or computer science. Familiarity with SQL, cloud platforms (such as AWS or Azure), and certifications like Certified Data Management Professional (CDMP) are highly valuable. Strong leadership, problem-solving abilities, and effective communication distinguish top performers in this role. These competencies ensure that data systems are secure, efficient, and aligned with organizational goals, enabling informed decision-making.

What are some common challenges faced by data systems managers when integrating new technologies into existing data infrastructure?

Data Systems Managers often encounter challenges such as ensuring compatibility between legacy systems and new technologies, minimizing downtime during migration, and maintaining data integrity throughout the integration process. They also need to coordinate closely with IT, security, and business teams to align technology upgrades with organizational goals and compliance requirements. Effective change management and thorough testing are crucial to address these challenges and ensure a smooth transition.
What cities near Portland, OR are hiring for Data Systems Manager jobs? Cities near Portland, OR with the most Data Systems Manager job openings:
Data Systems Manager jobs near you
Infographic showing various Data Systems Manager job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,772 per year, or $57.1 per hour.

AI Systems Builder

Trend Capital Holdings, Inc.

Vancouver, WA • On-site

$85K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago

Job description

ABOUT THIS JOB

We’re looking for a highly driven, AI-native operator who doesn’t just use AI tools but actively tracks, tests, and applies the latest advancements to solve real-world business problems.


This role is for someone who lives on the frontier of AI. You’re constantly experimenting with new tools, models, and workflows, and you know how to translate that knowledge into practical systems that drive measurable results.


You’ll take ownership of building and scaling AI-powered processes across marketing, operations, and internal workflows from idea to implementation to optimization. This is not a passive role, as we’re searching for someone competitive, proactive, and obsessed with staying ahead of the curve.


RESPONSIBILITIES

  • Continuously discover, evaluate, and implement cutting-edge AI tools and workflows across the business.

  • Design and build end-to-end automation systems using LLMs, AI agents, and low/no-code platforms (Claude, Zapier, Make, etc.).

  • Rapidly prototype and deploy AI-driven solutions to solve real operational and marketing challenges.

  • Build systems that pull, analyze, and act on data, generating reports, insights, and actionable outputs.

  • Identify inefficiencies and bottlenecks, then design AI-powered solutions to eliminate them.

  • Collaborate with internal teams to turn ideas into scalable, automated systems.

  • Monitor performance of automations and continuously iterate for speed, accuracy, and impact.

  • Stay relentlessly up to date on new AI releases, tools, and frameworks.

  • Conduct marketing research and competitive analysis across SMS and email channels; support campaign setup (links, channels) and reporting initiatives.


REQUIRED KNOWLEDGE & SKILLS

  • Demonstrated experience using AI to solve real-world problems end-to-end (not just prompting, actual implementation and results).

  • Strong understanding of how LLMs work in practice (prompting, context windows, embeddings, limitations, hallucinations, etc.).

  • Basic coding ability (Python, JavaScript, or similar) or strong technical aptitude to quickly pick it up.

  • Familiarity with APIs, data flow, and system design (how tools connect, pass data, and execute reliably).

  • Experience building or working with AI agents, multi-step workflows, and tool integrations.

  • Ability to design and implement automations using platforms like Zapier, Make, or similar including complex, multi-step logic.

  • Comfortable working with structured and unstructured data, including transforming, routing, and analyzing it within workflows.

  • Experience working with or integrating tools like OpenAI, Claude, or other LLM providers.

  • Proven track record of rapidly learning and implementing newly released AI tools and frameworks.

  • Strong problem-solving ability, can break down ambiguous problems and build practical, working solutions.

  • Highly intelligent, resourceful, and self-directed.

  • Competitive mindset with a focus on leveraging technology to gain an edge.


Our company offers great benefits: full healthcare package (medical, dental, vision, life), 401k with a company match, flexible schedule, catered lunch, coffee, tea and snacks, competitive pay, and much more! Anyone who joins our team will have great potential for career and personal growth.