1

Data Organization Jobs in Oregon (NOW HIRING)

The role is also responsible for building and developing a high-performing global organization ... Key Responsibilities Data Operations & Quality Lead and develop a high-performing global data ...

Microsoft Excel Tutor

Eugene, OR · Remote

$18 - $40/hr

Skilled at teaching formula construction, data organization, and analytical dashboard creation in Excel. Guides students through building complex formulas, creating and customizing pivot tables ...

Microsoft Excel Tutor

OR · Remote

$18 - $40/hr

Skilled at teaching formula construction, data organization, and analytical dashboard creation in Excel. Guides students through building complex formulas, creating and customizing pivot tables ...

Microsoft Excel Tutor

Portland, OR · Remote

$18 - $40/hr

Skilled at teaching formula construction, data organization, and analytical dashboard creation in Excel. Guides students through building complex formulas, creating and customizing pivot tables ...

... the organization. This role will partner closely with business stakeholders to transform complex data into meaningful insights, build scalable reporting solutions, and ensure the accuracy and ...

Principal Data Steward

Salem, OR · On-site

$100 - $125/hr

Ability to communicate, train, and consult a variety of individuals and organizations in data governance, data management, and data quality best practices * Experience employing data governance ...

Data Architect

Salem, OR

$64 - $82.50/hr

May evaluate new data sources for adherence to the organization's quality standards and ease of integration. Requires a bachelor's degree in area of specialty and at least 6 years or equivalent ...

DATA ARCHITECT

Salem, OR

$64 - $82.50/hr

May Evaluate New Data Sources For Adherence To The Organization's Quality Standards And Ease Of Integration. * Requires A Bachelor's Degree In Area Of Specialty And At Least 6 Years Or Equivalent ...

Senior Administrator - Snowflake & SQL

Odell, OR · On-site

$51 - $70.25/hr

As Montefiore has built paths to deliver lifesaving health outcomes to underserved communities, we are looking to the future of being a data driven organization and tech-enabled care delivery to ...

Principal Data Steward

Salem, OR · On-site

$7.5K - $11K/mo

Ability to communicate, train, and consult a variety of individuals and organizations in data governance, data management, and data quality best practices * Experience employing data governance ...

next page

Showing results 1-20

Data Organization information

What is a data organization?

A Data Organization job involves structuring, managing, and maintaining data to ensure its accuracy, accessibility, and usability. Professionals in this role work with databases, metadata, and data governance practices to optimize information flow and retrieval. They may also clean, categorize, and integrate data from various sources to support business operations and decision-making. Strong analytical skills, attention to detail, and proficiency with data management tools are essential for success in this role.

What are some typical responsibilities I can expect in a data organization position?

In a Data Organization role, you will typically be responsible for structuring, maintaining, and ensuring the accuracy and integrity of large datasets. This often includes tasks such as data cleansing, standardizing formats, updating records, and organizing information to support business analysis or reporting needs. You may also work closely with cross-functional teams, providing data support, troubleshooting data issues, and helping to implement data governance policies. These responsibilities are essential to keep organizational data reliable and easily accessible for those who need it.

What are the key skills and qualifications needed to thrive in a data organization position, and why are they important?

To thrive in a Data Organization role, you need strong analytical skills, attention to detail, and experience with data management practices, typically supported by a degree in information science, computer science, or a related field. Familiarity with database software such as SQL, data visualization tools, and proficiency in Excel or data management platforms are commonly required, while certifications like Certified Data Management Professional (CDMP) can be advantageous. Excellent organizational, problem-solving, and communication skills help facilitate effective collaboration across teams and ensure data quality. These skills are crucial for maintaining accurate, accessible, and secure data, directly impacting business decision-making and operational efficiency.

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

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

Infographic showing various Data Organization job openings in Oregon as of September 2026, with employment types broken down into 73% Full Time, 9% Part Time, and 18% Contract. Highlights an 100% In-person job distribution.

VP, Data Operations & Governance (f/m/x)

On-site

Full-time

Posted 7 days ago


Job description

CEPRES is the leading and fastest growing digital investment platform for private capital markets, an institutional asset class which became very relevant in global investment portfolios of sovereign wealth fund, insurances, pension plans and others. This global institutional client base benefit from our award-winning investment solutions for their investment activities while we connect via the CEPRES platform thousands of professionals to the largest private investment network worldwide. CEPRES GmbH / Corp is headquartered in Munich and New York, with additional offices in Denver, Heidelberg, and several locations in middle east.

Our team is incredibly diverse with over 20 nationalities globally. We value smart and innovative people who also work effectively in a team environment and who are global players. Role Overview The VP, Data Operations & Governance is a senior leadership role responsible for overseeing the end-to-end lifecycle of investment data across the CEPRES Platform.

This role leads global data operations and analyst teams, driving the collection, processing, validation, and delivery of high-quality investment data while continuously improving efficiency, scalability, and accuracy. The VP will focus on optimizing data operations to meet evolving client and business requirements, ensuring processes, workflows, and data delivery capabilities support a high-quality client experience. This includes establishing KPIs and SLAs to maintain consistent quality, productivity, turnaround times, and service performance across global operations.

The role is also responsible for building and developing a high-performing global organization, fostering accountability, operational excellence, and continuous improvement. By leveraging process improvements, automation, and scalable operating models, the VP will drive operational effectiveness while ensuring CEPRES can support increasing client demands and business growth. Working closely with Product, Engineering, Commercial teams, and senior leadership, the VP will act as a key bridge between client needs and data operations, translating client requirements into scalable operational solutions and data delivery enhancements while ensuring the highest standards of quality, accuracy, and service.

Experience with private markets or financial data is strongly preferred. Key Responsibilities Data Operations & Quality Lead and develop a high-performing global data management organization, including data analysts and operations specialists, ensuring the capabilities, processes, and accountability needed to deliver high-quality financial data and operational excellence. Drive operational performance by managing KPIs and SLAs that support client requirements, data quality standards, delivery timelines, and overall service excellence.

Lead the alignment and standardization of operational reporting, KPI definitions, and performance measures across the data organization, ensuring consistent performance tracking and continuous process improvement. Establish scalable processes and tools that ensure accuracy, consistency, completeness, and timeliness across all datasets. Optimize data management processes from end-to-end within the data value flow to increase efficiency and reduce cost.

Create a culture of continuous improvement, using KPIs, and automation to optimize workflows and elevate data quality. Drive adoption of documentation, standardization, and best practices across the data analyst function. Ensure full compliance with data governance, privacy, and security frameworks Build and run KPI driven data flow and quality measurement systems that optimizes productivity serving as a basis for senior management reporting.

Develop capacity and workforce plans aligned with business demand, ensuring the right organizational structure, skills, and resources are in place to support growth. Ensure successful execution of contractual commitments by overseeing service delivery performance, monitoring compliance with agreed SLAs and obligations, and proactively addressing risks to client satisfaction and business outcomes. Technology and AI Drive adoption of emerging technologies, including LLMs and GenAI tools, to improve data quality, automation, and decision-making capabilities.

Partner with tech, product, and business leadership to prioritize data initiatives and ensure timely, high-quality delivery. Establish and enforce data governance, quality, and security standards across all systems and teams. Governance, Quality & Compliance Drive initiatives to measure and improve data quality, consistency, and completeness.

Implement and enforce data governance policies, data access controls, and lineage tracking while ensuring CEPRES' strict data compliance and security regulations. Stakeholder Enablement & Collaboration Serve as a strategic partner to product, engineering, commercial, and executive teams. Provide internal and external stakeholders with the tools, documentation, and training needed to work effectively with data.

Requirements Required: Bachelor's or master's degree in computer science / engineering or equivalent, MBA in finance and related subjects in place 10+ years of related experience in data operations, stewardship or Data Strategy, governance and/or analytics, with 5+ years in a team leadership role. Strong understanding of data pipelines and related technologies and software delivery lifecycle processes. Good grasp on the new LLM technologies and practical application to data products and workflows.

Proven ability to manage custom, client-facing analysis and project delivery in a financial or B2B environment. Solid grasp of data privacy and security standards in terms of data governance Excellent communication and collaboration skills with both technical and commercial stakeholders. Strong project and operational management capabilities, with the ability to prioritize competing demands, manage risks, and drive continuous process improvement.

Preferred: Background in private markets, asset management, venture capital, or investment data. Proven track record of leading data engineering/data science teams at scale, with the ability to translate business strategy into a technical data roadmap and influence senior stakeholders Benefits Career Path in Private Markets Join a fastgrowing company in one of the most dynamic areas of finance. You will learn from an international team, receive regular feedback, and have opportunities to grow your responsibilities over time.

Culture That Drives Ownership We value collaboration, transparency, and an entrepreneurial mindset-people who take initiative, deliver results, and support each other. Commitment to Our People A diverse, inclusive, and international workplace with benefits and support designed to help you thrive. Attractive compensation package that reflects your skills, contributions, and growth potential.

At CEPRES, we're committed to creating an inclusive environment for all. We celebrate diversity and encourage applicants from all backgrounds, experiences, and perspectives to apply.