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Enterprise Data Governance Jobs (NOW HIRING)

East West Bank

Data Governance

Pasadena, CA · On-site

$115K/yr

This role will drive development of the enterprise data governance program, with accountability for Critical Data Elements (CDEs), data quality, metadata management, data lineage, regulatory ...

Prominence Advisors

Data Governance Lead

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead enterprise Data Governance engagements for healthcare organizations. * Serve as a trusted advisor to executive leadership, business stakeholders, and technical teams. * Facilitate governance ...

Northern Bank

Data Governance Analyst

Woburn, MA · On-site

$75K - $100K/yr

Enterprise Data Management (EDM) operates as a service-oriented function, partnering across business and technology teams to deliver trusted data, consistent reporting, and strong governance ...

Northern Bank

Data Governance Analyst

Woburn, MA · On-site

$75K - $100K/yr

Enterprise Data Management (EDM) operates as a service-oriented function, partnering across business and technology teams to deliver trusted data, consistent reporting, and strong governance ...

janney

  • PTO

Enterprise Data Governance: Building and maturing governance programs, operating models, policies, standards, and stewardship frameworks that balance appropriate controls with business needs. * Data ...

janney

  • PTO

Enterprise Data Governance: Building and maturing governance programs, operating models, policies, standards, and stewardship frameworks that balance appropriate controls with business needs. * Data ...

Quantiphi, Inc.

Senior Data Governance SME

Role Summary We are seeking a visionary Enterprise Data Governance Consultant who is a recognized thought leader in enterprise data management. This is a senior strategic role for an individual who ...

New

Quantiphi, Inc.

Senior Data Governance SME

Role Summary We are seeking a visionary Enterprise Data Governance Consultant who is a recognized thought leader in enterprise data management. This is a senior strategic role for an individual who ...

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Enterprise Data Governance information

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How much do enterprise data governance jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for enterprise 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 enterprise data governance?

Enterprise data governance refers to the set of processes, policies, and standards that organizations implement to ensure the effective management, quality, security, and availability of their data across the enterprise. It involves defining who can take what actions with what data, and under what circumstances, to ensure data integrity and compliance with regulations. Effective data governance helps organizations maximize the value of their data assets while minimizing risks related to data privacy, security, and misuse.

What are the key skills and qualifications needed to thrive as an enterprise data governance professional?

To thrive as an Enterprise Data Governance professional, you need expertise in data management principles, regulatory compliance, and data quality frameworks, often supported by a degree in information management or a related field. Familiarity with data governance tools (such as Collibra or Informatica), metadata management systems, and relevant certifications like CDMP is highly beneficial. Strong analytical thinking, stakeholder communication, and project management skills set top performers apart. These abilities are crucial to ensuring that data is accurate, secure, and effectively utilized to support organizational strategy and compliance.

What are typical challenges faced by professionals working in enterprise data governance roles?

Professionals in Enterprise Data Governance often encounter challenges such as aligning data management practices across diverse business units, ensuring data quality and consistency, and driving compliance with evolving regulatory requirements. Balancing the need for robust data controls with business agility can also be complex, as can fostering a data-driven culture within large organizations. Strong collaboration with IT, legal, compliance, and business teams is essential to address these challenges and implement effective governance frameworks.

What is the difference between Enterprise Data Governance vs Data Analyst?

AspectEnterprise Data GovernanceData Analyst
CredentialsCertifications in data management, data governance, or related fieldsDegree in statistics, data science, or related fields; certifications like Microsoft Excel or Tableau
Work EnvironmentOrganizational, policy-driven, cross-departmentalData-focused, analytical, often project-based
Employer & Industry UsageUsed across industries to establish data policies and standardsUsed in various industries for data analysis and reporting

Enterprise Data Governance focuses on establishing policies, standards, and oversight for data management across an organization, ensuring data quality and compliance. Data Analysts primarily analyze data to generate insights, reports, and support decision-making. While Data Governance sets the framework, Data Analysts operate within it to interpret data and provide actionable insights.

Is enterprise data governance a good career?

Enterprise Data Governance is a growing field that involves managing data quality, compliance, and security within organizations. It requires skills in data management tools, understanding regulatory requirements, and often offers opportunities for advancement and specialization. The role is considered stable and in demand as organizations increasingly prioritize data-driven decision-making.
More about Enterprise Data Governance jobs

What states have the most Enterprise Data Governance jobs?

States with the most job openings for Enterprise Data Governance jobs include:

What job categories do people searching Enterprise Data Governance jobs look for?

The top searched job categories for Enterprise Data Governance jobs are:

Enterprise Data Governance jobs near you
Infographic showing various Enterprise 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,939 per year, or $54.8 per hour.

Data Governance

East West Bank

Pasadena, CA • On-site

$115K/yr

Full-time

Re-posted 15 days ago

East West Bank rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

116th of 171 rated banks

Job description

Introduction
Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates' potential for career advancement.
Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.
Overview
East West Bank is seeking an experienced Data Governance to help develop, operationalize, and mature the bank's enterprise data governance program. This role will drive development of the enterprise data governance program, with accountability for Critical Data Elements (CDEs), data quality, metadata management, data lineage, regulatory compliance, and governance controls supporting enterprise reporting, risk management, analytics, and AI initiatives.
The position is part of the Enterprise AI Strategy & Transformation team, focused on scaling AI use cases, pilots, and proofs of concept into governed, measurable, and enterprise-ready capabilities. This role partners closely with business stakeholders, data owners, technology teams, analytics teams, and risk and compliance functions to implement governance processes, metadata management, data stewardship frameworks, and enterprise controls supporting the bank's broader data and AI strategy.
The ideal candidate is a hands-on governance practitioner with experience in highly regulated industries who can balance policy, process, and operational execution while driving enterprise-wide data maturity initiatives.
Responsibilities
  • Support the implementation and ongoing maturation of the enterprise data governance framework, including policies, standards, procedures, and operating models.
  • Partner with business and technology stakeholders to identify and document Critical Data Elements (CDEs), data ownership and stewardship assignments, business glossaries, data definitions, lineage, and data flows.
  • Facilitate governance working sessions with business and technology teams to align standards, remediation priorities, and governance objectives.
  • Develop and maintain enterprise data dictionary, data cataloging, and lineage documentation using tools such as Microsoft Purview, Collibra, Alation, or Informatica.
  • Drive selection and adoption of modern data governance tools as needed
  • Assist with enterprise data quality management processes, including quality rules, controls, issue remediation, root-cause analysis, scorecards, and KPI reporting.
  • Collaborate with data engineering, analytics, and architecture teams to embed governance controls within enterprise data pipelines and analytical platforms.
  • Support governance activities related to data classification, sensitive data handling, access governance, retention, lifecycle management, and audit requirements.
  • Prepare governance reporting materials and metrics for governance councils, leadership reviews, and regulatory or audit activities.
  • Promote data literacy and governance best practices across the organization.
  • Support governance enablement within Azure-based environments including Azure Data Lake, Azure Databricks, Microsoft Fabric, and Power BI ecosystems.
  • Perform other duties as assigned.

Qualifications
  • Bachelor's degree in Information Systems, Data Management, Computer Science, Business Analytics, or a related discipline.
  • 8+ years of experience in data governance, AI governance, metadata management, data quality, data risk, or related enterprise data roles.
  • Strong understanding of data governance concepts including stewardship, metadata management, lineage, data quality, and business glossaries.
  • Experience supporting enterprise governance programs using tools such as Microsoft Purview, Collibra, Alation, or Informatica.
  • Experience operating or orchestrating enterprise Data Governance Councils, Data Stewardship Committees, or equivalent governance forums
  • Familiarity with modern cloud-based data ecosystems, particularly Azure-centric environments.
  • Hands-on SQL skills to analyze data quality issues, metadata structures and governance controls implemented
  • Understanding of banking regulatory and compliance considerations related to data governance and risk management.
  • Strong analytical, organizational, communication, and stakeholder management skills.
  • Experience leading cross-functional governance initiatives with measurable outcomes and executive visibility.
  • Ability to translate complex AI and data risks into practical business and control decisions.

Required AI & Data Governance Experience
  • Hands-on experience applying governance controls to AI-enabled solutions, including data quality, lineage, ownership, access controls, retention, consent, and auditability.
  • Experience governing AI use cases from intake through production, including risk assessment, approval workflows, monitoring, and issue remediation.
  • Practical experience governing data used in LLM and RAG solutions, including source validation, sensitive data handling, ingestion controls, metadata management, and knowledge-base quality.
  • Strong understanding of AI risk, model risk, data privacy, explainability, human oversight, and responsible AI practices in regulated environments.
  • Ability to translate governance policies into repeatable operational procedures, controls, evidence requirements, metrics, and executive reporting.

AI Fluency & Hands-On LLM Experience
  • Practical experience with major LLM platforms including OpenAI, Anthropic Claude, Microsoft Copilot/Azure OpenAI, Google Gemini, AWS Bedrock, and open-source models such as Llama or Mistral.
  • Familiarity with prompt engineering, embeddings, vector search, RAG, agentic workflows, model evaluation, hallucination mitigation, and human-in-the-loop review.
  • Ability to assess AI solutions for privacy exposure, explainability, monitoring requirements, production readiness, and governance risks.
  • Experience partnering with technology, risk, compliance, legal, and business teams to govern AI responsibly while enabling innovation.

Required Technologies & Tooling
  • Data governance and catalog platforms such as Microsoft Purview, Collibra, Alation, or Informatica.
    Cloud data platforms and lakehouse architectures including Snowflake, Databricks, Azure, AWS, or GCP.
  • Data pipeline and orchestration tools such as dbt, Airflow, Azure Data Factory, AWS Glue, and Kafka.
    AI/ML lifecycle and monitoring tools including MLflow, model registries, evaluation frameworks, observability tools, and LLM monitoring platforms.
  • Security controls including IAM, encryption, DLP, tokenization/masking, secrets management, and audit logging.
    Familiar with Vector databases and AI infrastructure platforms such as Pinecone, Weaviate, FAISS, pgvector, and Azure AI Search.

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.
Compensation
The base pay range for this position is USD $115,000.00/Yr. - USD $175,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

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