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Data Integrity Manager Jobs in Oregon (NOW HIRING)

Senior Data Analyst

OR · Remote

$85K - $108K/yr

Maintain Data Integrity - Implement validation, monitoring, and reconciliation frameworks to ensure ... Cloud cost management experience, ideally in an AWS environment * Familiarity with AI/ML ...

OR

$114K - $137K/yr

Lead projects from inception to production, taking accountability for data integrity and the ... Experience managing business-critical production pipelines with a focus on uptime, data quality ...

$17 - $22.75/hr

Quality Assurance and Data Integrity * Provide the Contract Manager with a list of completed cases. * Submit periodic reports to the Oncology Data Lead using VA-approved trackers documenting case ...

Collaborate with department managers and staff to review documentation supporting charge capture ... Develop and maintain current database of industry-wide data to be used in benchmarking exercises ...

Data Engineer

$114K - $137K/yr

... data integrity, reporting accuracy, and automation reliability. This role requires hands-on ... Manage and administer Azure resources including Logic Apps, Data Factory, storage accounts ...

Senior Healthcare Data Engineer

$105K - $143K/yr

Our Data Management and Strategy Practice provides end-to-end data management services to clients ... Conduct data quality analysis, investigate and resolve issues to ensure data integrity and accuracy.

Industrial Data Engineer

Sisters, OR · On-site

$114K - $137K/yr

... and management industries. The Industrial Data Engineer will design, build, and maintain data ... data integrity, security, availability, and performance. • Develop and maintain software ...

OR · Hybrid

... Data Science and Healthcare Insurance Payment Integrity experience with diverse skills to help us ... manage stakeholder expectations. Highly Desired Skills * Databricks Ecosystem: Deep expertise in ...

Data Center Project Manager

Portland, OR · On-site

$125K - $130K/yr

Position Summary The Project Manager is responsible for managing the complete life cycle of highly ... Works to make sure proper operating procedures maintain the integrity and availability at the data ...

Quality Assurance and Data Integrity * Provide the Contract Manager with a list of completed cases. * Submit periodic reports to the Oncology Data Lead using VA-approved trackers documenting case ...

OR · On-site

Incident Management: Lead and drive incident response and management for platform-related ... If a project is delayed, they explain why in terms of risk and data integrity rather than just "the ...

Sr. Data Steward

OR · On-site +1

$75K - $100K/yr

Maintain master and reference data in the Master Data Management (MDM) and ERP systems ... Demonstrated ability to articulate, persuade, and communicate the value of data integrity and ...

OR · On-site

$86K - $107K/yr

Collaborate with cross-functional teams including digital marketing, CRM, lifecycle, and sales. Ensure data integrity and consistency across Salesforce, Pardot, and integrated platforms. Utilize data ...

Data Engineer - AI

$105K - $125K/yr

This includes but is not limited to managing data implementations, data integrations, data ... integrity. * Complete individual productivity tracking. * Complete task assignments using ...

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Showing results 1-20

Data Integrity Manager information

See Oregon salary details

$32.8K

$102.7K

$181.9K

How much do data integrity manager jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data integrity 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.

What are some common challenges faced by Data Integrity Managers, and how can they be addressed?

Data Integrity Managers often encounter challenges such as ensuring data accuracy across multiple systems, managing data governance policies, and addressing data quality issues that arise from manual entry or system migrations. These challenges can be addressed by implementing robust data validation processes, fostering a culture of accountability among team members, and working closely with IT and business stakeholders to establish clear data standards. Regular audits and ongoing training can also help maintain high data integrity standards and minimize errors.

What are the 4 pillars of data integrity?

The four pillars of data integrity are accuracy, consistency, completeness, and validity. For a Data Integrity Manager, ensuring these principles are maintained involves implementing proper data governance, validation protocols, and regular audits to prevent errors and unauthorized modifications.

What is the difference between Data Integrity Manager vs Data Quality Analyst?

AspectData Integrity ManagerData Quality Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMABachelor's in Data Science, IT, or related; certifications like CDMP or Six Sigma
Work EnvironmentOversees data management teams, implements data policies, ensures data accuracy and securityAnalyzes data sets, identifies quality issues, recommends improvements
Employer & Industry UsageUsed in industries with strict data compliance needs like finance, healthcare, and techCommon in analytics, business intelligence, and data-driven sectors

The Data Integrity Manager focuses on maintaining the overall accuracy, security, and consistency of data across systems, often managing teams and policies. In contrast, the Data Quality Analyst primarily analyzes data sets to identify and resolve quality issues. Both roles require similar certifications and are vital in data-centric industries, but their core responsibilities differ in scope and focus.

How much does a data integrity analyst make?

A data integrity analyst typically earns between $60,000 and $90,000 annually, depending on experience, location, and industry. The role often requires strong analytical skills and familiarity with database management tools.

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

To thrive as a Data Integrity Manager, you need expertise in data management, quality assurance, and compliance, often supported by a degree in information systems or related fields. Familiarity with database management systems (DBMS), data governance tools, and certifications like CDMP or DAMA are typically required. Strong attention to detail, analytical thinking, and effective communication help you proactively address data issues and collaborate across departments. These skills ensure accurate, reliable data that supports business decisions and regulatory compliance.

What does a data integrity manager do?

A data integrity manager oversees the accuracy, consistency, and reliability of data within an organization. They develop and implement data quality standards, perform audits, and collaborate with IT and other departments to ensure data is secure and compliant with regulations. Strong analytical skills and knowledge of data management tools are essential for this role.

What are the 4 types of data integrity?

Data Integrity Managers focus on maintaining data accuracy and consistency, which involves four main types: physical integrity (protection against hardware failures), logical integrity (accuracy of data within databases), referential integrity (relationships between data in different tables), and data integrity constraints (rules enforcing data validity). Ensuring these types are upheld is essential for reliable data management and decision-making in organizations.

What are Data Integrity Managers?

Data Integrity Managers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They oversee data governance policies, implement quality control measures, and work closely with IT and business teams to maintain compliance with regulations and standards. Their role is crucial in industries where data accuracy impacts decision-making, regulatory compliance, and operational efficiency.
What cities in Oregon are hiring for Data Integrity Manager jobs? Cities in Oregon with the most Data Integrity Manager job openings:
Infographic showing various Data Integrity Manager job openings in Oregon as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, 1% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $102,710 per year, or $49.4 per hour.
Senior Manager, Product Management - Data Integrations

Senior Manager, Product Management - Data Integrations

Comscore

Portland, OR • On-site, Remote

$134K - $177K/yr

Full-time

Posted 18 hours ago


Job description

Job Title:Senior Manager, Product Management - Data Integrations (Platform)
Location:Hybrid - New York, NY; Reston, VA; Portland, OR (or Remote)
Comscoreis unable to provide employment visa sponsorship for this position, now or in the future. This includes individuals currently on F-1 OPT, CPT, or any other visa status that would require future sponsorship.


About This Role:

Comscoreis buildingthe industry's leading audience measurement platform-where shared foundations (identity, metadata,methodology, and delivery surfaces) are reused across productsin a unified, interconnected measurement platform;and partners can integrate once and scale across workflows.

TheSenior Manager, Product Management - Data Integrations (Platform) is the single-threaded owner for third-party data integrations that power advanced audience onboarding/activation and measurement workflows with key ecosystem partners-such asdata andidentifypartners, agency holding companies, and sell-side distributors. This role is a hands-on technical product leader: you will define integration patterns, data contracts, partner-facing capabilities, and operational standards that allow integrations to be repeatable, observable, and scalable.

This is not a "generalist" role. It is a PlatformPMrole with deep accountability for data integrity, schemas/contracts, delivery reliability, and partner technical execution.

WhatYou'llOwn:

You will own the platform capabilities that let partners reliably:

  • Onboard and register audiences (e.g., segment metadata + IDs/tags) and make them usable downstream.
  • Execute measurement queries (commercial + viewership use cases) andvalidateoutputs against defined schemas and logic.
  • Receive outputs through modern delivery surfaces (e.g., Snowflake-based delivery, data shares/clean rooms/APIs/feeds-depending on partner workflow and governance constraints).
  • Operate within required governance and compliance constraints (e.g., privacy-safe joins/aggregation in clean rooms where needed).

WhatYou'llDo:

1) Build and run the Data Integrations product roadmap

  • Define the integration roadmap as durable platform capabilities (not one-off partner projects), including standardized onboarding, data contracts, validation, delivery, and monitoring.
  • Maintain a prioritized backlog with Engineering, grounded in partner value, platform reuse, and clear operational success metrics (SLAs, defect rates, time-to-integrate).

2) Partner-facing technical product leadership

  • Serve as the product owner for technical integration relationships: partner technical discovery, data mapping, delivery design, rollout planning, and ongoing change management.
  • Translate partner workflows into explicit producer-consumer contracts (schemas, definitions, access approvals, versioning expectations).

3) Data stewardship, integrity, and operational readiness

  • Own schemas, definitions, and documentation forintegrationdatasets; ensure data outputs are discoverable, governed, and stable for downstream consumers.
  • Define and enforce data quality metrics, SLAs, observability, and launch readiness gates for integrations.
  • Drive repeatable validation approaches (e.g., end-to-end "round trip" workflows: onboarding modeling query validation delivery verification).

4) Hands-ontechnical skills

  • Be independently capable of using SQL tovalidatepartner data and outputs, investigate issues, and unblock delivery (Snowflake strongly preferred; MySQL/PostgreSQL acceptable withdemonstrateddepth).
  • Partner with Engineering to root-cause issues across ingestion, transformation, query logic, and delivery-then turn learnings into hardened platform features and guardrails.

5) Platform leverage: standardize integration patterns

  • Create reusableintegration"building blocks" (templates/patterns) so the next partner is faster, safer, and cheaper to onboard than the last-avoiding bespoke drift.
  • Ensure integration decisions reinforce unified delivery surfaces (APIs/feeds/data shares/clean rooms), rather than proliferating one-off pipelines.

WhatYou'llNeed:

Product leadership + partner ecosystem

  • 5+ years of Product Management experience, including prior ownership of data-heavy, technical products.
  • Demonstrated experience working directly with external partners in ad tech / media / measurement ecosystems-ideally including agencyholdcosand/or sell-side distributors (or adjacent partners like identity/data providers).

Hands-on technical depth

  • Strong, practical SQL skills with the ability to independently query andvalidatedatasets and outputs; Snowflake experience strongly preferred (or equivalent depth in PostgreSQL/MySQL plus clear Snowflake exposure).
  • Proven capability in data analysis: investigating anomalies,validatingbusiness logic, reconciling outputs to expected schemas, and communicating findings clearly.
  • Experience definingdata contracts(schemas/definitions/versioning), and collaborating with Engineering on data pipelines, APIs, and delivery mechanisms.

Domainexpertise

  • Strong familiarity with advanced advertising workflows and the audience/measurement space (e.g., advanced audiences, activation/measurement loops, outcomes required by agencies and sell-side partners).
  • Comfortoperatingin environments where delivery may require governance controls and privacy-safe approaches (e.g., clean rooms / restricted extraction patterns).

Execution & communication

  • Ability to translate ambiguous partner needs into crisp product definitions, sequencing, and launch plans-while making tradeoffs explicit and protecting platform integrity.
  • Strong stakeholder communication: partner-facing clarity, internal alignment, and executive-ready status/risk communication.


Nice to Have:

  • Direct experience integrating with or supporting workflows for partners in thedata andidentifypartner/ agencyholdco/ major broadcaster ecosystem.
  • Experience with delivery in/through Snowflake (data shares), and/or clean room patterns where outputs are aggregated andprivacy-safe.
  • Familiarity with end-to-end integration validation practices (onboarding query validation Snowflake delivery verification).
  • Experience with data observability/quality tooling and operational readiness practices (monitoring, SLIs/SLOs, incident reduction).

About Comscore

AtComscore, we're pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we're united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you're motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we'd love to hear from you.

Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry's emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com.

EEO Statement: We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, disability status, sexual orientation, gender identity, age, protected veteran status or any other characteristic protected by law.

To comply with federal law, Comscore participates in E-Verify. Successful candidates must pass the E-Verify process after hire.

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