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Director Data Quality Data Governance Jobs (NOW HIRING)

Data Governance lead Irving, TX- Onsite Long term Contract We are seeking a proactive and ... Data Quality & Integrity: * Identify data quality improvement opportunities, set KPIs, and ...

This role will work closely with Data Engineering, Data Products, Business Intelligence, Data Governance, and business stakeholders to establish data quality standards, identify issues, implement ...

Data Quality Analyst

Scottsdale, AZ · On-site

$100K - $110K/yr

... Director of Data & Analytics, the Data Quality Analyst will play a pivotal role in securing MTY ... Data Governance & Stewardship * Collaborate with data owners and business teams to define data ...

$100K - $110K/yr

... Director of Data & Analytics, the Data Quality Analyst will play a pivotal role in securing MTY ... Data Governance & Stewardship * Collaborate with data owners and business teams to define data ...

... quality management practices, including critical data elements, quality rules, monitoring, and ... senior governance leadership role. • Direct experience operating within a mature, enterprise ...

Partner with data owners and stewards to ensure accountability for data quality, integrity, and ... direct authority. * Critical Thinking: Exceptional analytical and problem-solving skills, with the ...

The Senior Data Governance Analyst will manage the flow of data for Northwest, ensuring its ... Ensure that data quality guidance and direction is applied throughout the entire data lifecycle ...

The analyst will support metadata management, source system rationalization, data quality ... data governance platform · Maintain and enhance linked-record relationships within the data ...

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How much do director data quality data governance jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for director data quality data governance in the United States is $54.78, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $67.07 per hour, depending on experience, location, and employer.

What is a director data quality data governance?

A Director of Data Quality and Data Governance is a senior leader responsible for overseeing the development, implementation, and management of an organization's data quality and governance strategies. This role ensures that data across the organization is accurate, reliable, secure, and compliant with relevant policies and regulations. The director collaborates with various departments to establish data standards, monitor data quality metrics, and promote data stewardship. Their goal is to enable better business decisions through trusted and well-managed data assets.

What are the key skills and qualifications needed to thrive as a director data quality data governance?

To thrive as a Director of Data Quality and Data Governance, you need deep expertise in data management principles, data quality frameworks, and governance standards, usually supported by a degree in computer science, information systems, or a related field. Familiarity with data governance tools (like Collibra or Informatica), data cataloging systems, and relevant certifications such as CDMP or DAMA are commonly required. Outstanding leadership, communication, and stakeholder management skills help drive cross-functional adoption and ensure effective policy implementation. These competencies are crucial for maintaining high data integrity, regulatory compliance, and enabling data-driven decision-making across the organization.

What are the main challenges a director data quality data governance faces when implementing organization-wide data standards?

A Director of Data Quality and Data Governance often encounters challenges such as overcoming departmental data silos, aligning diverse stakeholder interests, and ensuring consistent adoption of data standards across business units. Building a collaborative culture that values data quality requires effective communication and change management, as different teams may have varying processes and priorities. Additionally, keeping up with evolving regulatory requirements and integrating new technologies can add complexity to maintaining robust data governance frameworks.

What are popular job titles related to Director Data Quality Data Governance jobs?

For Director Data Quality Data Governance jobs, the most frequently searched job titles are:

Infographic showing various Director Data Quality Data Governance job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $113,939 per year, or $54.8 per hour.

Data Analyst, Enterprise Data Governance Team

Phoenix, AZ • On-site

Intel Corporation
Manufacturing • 10K+ employees

Full-time

Medical, Retirement, PTO

Posted 26 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz


Job description

Job Details:
Job Description:
Are you ready to play a pivotal role in transforming Intel's enterprise data ecosystem and enabling data-driven decision-making? As a Data Analyst on the Enterprise Data Governance Team, you will help improve Intel's business performance by applying data analysis, governance operations, process execution, and measurement practices to complex enterprise data challenges.
In addition to domain analytics responsibilities, this role serves as a key execution partner to EDGT. The role supports the operationalization of enterprise data governance decisions, standards, controls, and processes across one or more data domains. The role is expected to engage across multiple enterprise data domains over time to support consistent governance execution, adoption, and maturity.
This position acts as a bridge between business stakeholders, EDGT, domain owners, data stewards, architecture teams, platform teams, and development teams. The role translates governance decisions into executable actions, supports fit-gap and readiness assessments, manages governance work visibility, and helps ensure standards are adopted and sustained across the enterprise.
The role will also support Governance Operations, Platform, and JIRA responsibilities within the proposed EDGT capability-based model. This includes EDGT operations, JIRA/work tracking, tooling roadmap coordination, capacity visibility, operating rhythm support, templates, documentation, and process orchestration. A critical part of this role is the development and ongoing measurement of data governance metrics that help Intel track progress on its enterprise data governance journey during IAO and beyond. The successful candidate will help define, maintain, and improve governance KPIs, scorecards, maturity indicators, adoption measures, and value-realization metrics that show how governance is progressing across domains, where gaps remain, and where leadership attention is needed.
Key responsibilities include:
  • Support execution and adoption of Enterprise-approved data governance standards, guidelines, controls, procedures, and decision frameworks.
  • Support Governance Operations, Platform, and JIRA activities, including work tracking, backlog visibility, status reporting, dependency tracking, capacity views, templates, and operating rhythm support.
  • Develop, maintain, and continuously improve data governance metrics, KPI frameworks, dashboards, scorecards, and maturity measures.
  • Track governance progress during IAO and ongoing enterprise transformation, including adoption of standards, data quality outcomes, stewardship engagement, metadata maturity, issue remediation, and governance value realization.
  • Provide executive-ready reporting and insights that show governance progress, risks, trends, gaps, and recommended actions.
  • Analyze complex datasets to identify trends, risks, gaps, and opportunities that drive business insights and operational improvements.
  • Gather business and technical requirements and translate them into actionable data specifications, governance requirements, and execution plans.
  • Perform fit-gap analyses, readiness assessments, and risk assessments of data systems, processes, and domains to evaluate alignment with EDGT-approved governance standards.
  • Serve as the day-to-day bridge between EDGT, domains, architecture, tooling, stewardship, and execution teams.
  • Partner with domain, architecture, platform, and business teams to translate governance decisions into sustained practices and measurable outcomes.

Qualifications:
Minimum Qualifications
  • Bachelor's degree in a related field such as data science, information systems, supply chain, material science, industrial engineering, business analytics, or a related discipline.
  • 3+ years of relevant experience in data governance, data quality, data processes, business analysis, operations, and technology-enabled process improvement.
  • Experience analyzing complex datasets and translating insights into business recommendations.
  • Experience working across business and technical stakeholders to gather requirements, document processes, clarify ownership, and support execution.
  • Experience developing reports, dashboards, scorecards, metrics, or KPI measurements.
  • Experience with JIRA or similar work-management tools to track work items, owners, status, dependencies, risks, and outcomes.
  • Demonstrated ability to perform fit-gap analysis, readiness assessment, risk identification, or implementation support for data, process, or system changes.
  • Strong analytical, communication, problem-solving, organization, and follow-through skills.

Preferred Qualifications
  • Master's degree in supply chain management, logistics, industrial engineering, information systems, data science, business analytics, or a related field with 2+ years of relevant experience.
  • Proficiency in data analysis tools such as Excel, SQL, Power BI, and Python.
  • Experience with business intelligence, reporting, dashboarding, data visualization, and executive-level performance reporting.
  • Experience developing enterprise KPI frameworks, governance scorecards, maturity models, value-realization reporting, or adoption metrics.
  • Familiarity with data governance, master data management, metadata management, data lineage, data quality, data stewardship, or governance operating models.
  • Knowledge of Intel's Product Life Cycle, supply chain planning, manufacturing execution, product architecture, planning BOM, or dependent planning and execution processes.
  • Familiarity with tools such as Collibra, Informatica, JIRA, Confluence, SAP, LRP, Atlas, or related governance, workflow, and enterprise data platforms.
  • Ability to influence stakeholders, structure ambiguous work, drive execution, and communicate governance progress in a clear, measurable, business-focused way.

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Arizona, Phoenix
Additional Locations:
US, California, Folsom, US, California, Santa Clara, US, Oregon, Hillsboro
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $116,010.00-163,780.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968