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Permanent Data Governance Jobs (NOW HIRING)

Sonsoft Inc

Senior Data Architect

Torrance, CA

$70.25 - $94/hr

Define Data Architecture standards, best practices and participate in governance activities * Lead ... Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen , Green Card Holder ...

E*Pro, Inc.

Data Steward

Indianapolis, IN · On-site

$60K - $75K/yr

... Permanent Recruiting and Temp-to-Hire. In addition, our industry expertise and knowledge within ... Establish Data Governance principles and ensure effective execution of the same * Work with the ...

IT America Inc

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) Duration: Long-Term ... Implement data governance, security, lineage, and access controls using Unity Catalog. * Develop ...

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Permanent Data Governance information

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How much do permanent data governance jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for permanent 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 the difference between Permanent Data Governance vs Data Analyst?

AspectPermanent Data GovernanceData Analyst
Required CredentialsData management certifications, knowledge of data policiesStatistics, data analysis certifications, SQL skills
Work EnvironmentCorporate, compliance-focused, policy-drivenBusiness units, project-based, reporting-oriented
Employer & Industry UsageOrganizations with data compliance needs, finance, healthcareMarketing, finance, tech companies analyzing data trends

Permanent Data Governance professionals focus on establishing and maintaining data policies, ensuring compliance, and managing data assets across an organization. Data Analysts interpret data to generate insights, support decision-making, and often work on specific projects. While both roles require data knowledge, Permanent Data Governance emphasizes policy and data quality management, whereas Data Analysts concentrate on data analysis and reporting.

Is data governance a good career?

Data governance is a growing field that involves managing data quality, security, and compliance within organizations. It requires skills in data management tools, policies, and regulations, making it a stable and in-demand career choice for those interested in data integrity and organizational oversight.
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Permanent Data Governance jobs near you
Infographic showing various Permanent Data Governance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $113,939 per year, or $54.8 per hour.

AI, Data Platforms & Responsible AI Governance Lead - R-07B

Axyde Analytics

Washington, DC • Remote

Full-time

Posted 8 days ago

Job description

AI, Data Platforms & Responsible AI Governance Lead - R-07B
Requisition: R-07B
Opportunity: 26-0015 / 1131PL26R0058
Location Anchor: Washington, DC 20001
Work mode: Fully remote / U.S.-based
Travel: Europe/Eurasia as assigned
Engagement: Contingent expert
Role purpose
Lead feasibility and project-scoping analysis for public-sector AI, data platforms, analytics, and responsible-AI governance within Europe/Eurasia digital-infrastructure opportunities. Translate policy goals and incomplete data environments into implementable use cases, architectures, governance controls, procurement requirements, budgets, schedules, and measurable outcomes.
Representative assignment problems
• Assess data availability, quality, ownership, interoperability, privacy, residency, security, institutional capacity, and public acceptance.
• Define AI/data-platform alternatives across cloud, data-center, edge, and connectivity environments.
• Evaluate model purpose, training and inference data, human oversight, explainability, bias, safety, cybersecurity, vendor lock-in, lifecycle cost, and operating capacity.
• Develop phased roadmaps, pilots, TOR/SOW requirements, budgets, schedules, acceptance tests, and responsible-AI controls.
• Support digital-government, critical-infrastructure, service-delivery, urban/municipal, geospatial, or cross-border data use cases when assigned.
Responsibilities
• Own AI/data analysis modules and integrate them with cybersecurity, data-center, connectivity, finance, regulatory, and regional work.
• Produce evidence-traceable inputs for Preliminary Assessments, Project Reports, TORs, independent budgets, schedules, and the cumulative Final Report.
• Distinguish proven use cases from speculative vendor claims and document limitations, dependencies, and recovery paths.
• Define data/model governance, monitoring, incident, human-approval, and independent-review requirements.
• Participate in remote analysis, stakeholder discovery, quality review, and international travel when assigned.
• Protect sensitive information and disclose actual, potential, or apparent conflicts.
Minimum evidence-based qualifications
• 10+ years of relevant data-platform, AI/ML, analytics, digital-government, or technology-governance experience, with dated named projects; the résumé must separately show the duration of direct AI work.
• Direct responsibility for AI/data feasibility, architecture, governance, deployment roadmap, procurement/TOR/SOW, or implementation decisions—not only software development or tool use.
• Evidence addressing data quality, privacy, interoperability, model risk, cybersecurity, human oversight, adoption, and measurable outcomes.
• Public-sector, regulated-infrastructure, international-development, or Europe/Eurasia experience strongly preferred.
• U.S. citizen or lawful permanent resident; Axyde will request written confirmation but not identity documents during recruiting.
• Strong written English, independent technical judgment, contingent availability, and international-travel ability.
Evidence to submit
• Current résumé with month/year dates and exact project responsibilities.
• Short project list naming client, country, period, data/AI use case, architecture or governance product, and outcome.
• One nonproprietary example of an AI/data options analysis, roadmap, governance framework, procurement package, or TOR.
• Current city/state, hourly-rate expectation, availability, travel status, and employment/country/customer/conflict restrictions.
Application questions
1. Identify three relevant data/AI projects and state the years of direct AI work separately from general IT tenure.
2. Describe one public-sector or regulated-infrastructure use case and the decision product you led.
3. Explain how you addressed data quality, privacy/residency, cybersecurity, bias/model risk, human oversight, and vendor lock-in.
4. Describe one roadmap, procurement package, TOR/SOW, pilot design, or acceptance framework you produced.
5. Identify Europe/Eurasia countries/languages and international-development experience.
6. Are you a U.S. citizen or lawful permanent resident? Answer only yes/no/category; do not upload identity documents.
7. Confirm availability, travel ability, conflicts/restrictions, employer approvals, and rate expectation.
Contingent-opportunity notice
This posting supports a competitive federal proposal. It is not an offer or guarantee of employment, subcontract, hours, travel, award, or assignment. Selection is conditioned on written résumé authorization, evidence review, eligibility, availability, conflict review, rate agreement, proposal strategy, award, and customer direction. Do not submit passports, Social Security numbers, immigration documents, classified/export-controlled information, or customer-proprietary material.