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Data Governance Program Manager Jobs in California

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 ...

East West Bank

Data Governance

Pasadena, CA

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 ...

East West Bank

Data Governance

Pasadena, CA · On-site

Experience supporting enterprise governance programs using governance and metadata management tools such as Microsoft Purview, Collibra, Alation, or Informatica Data Governance/Data Quality.

cathaybank

Data Governance Officer

El Monte, CA · On-site

$100K - $107K/yr

Manage documentation as well as remediation of key data issues. * Execute a reliable Second Line of ... Enterprise Data Governance Program * Assist data domains in measuring their compliance to ...

cathaybank

Data Governance Officer

El Monte, CA · On-site

$100K - $107K/yr

Manage documentation as well as remediation of key data issues. * Execute a reliable Second Line of ... Enterprise Data Governance Program * Assist data domains in measuring their compliance to ...

Cathay Bank

Data Governance Officer

El Monte, CA · On-site

$100K - $107K/yr

Manage documentation as well as remediation of key data issues. * Execute a reliable Second Line of ... Program * Assist data domains in measuring their compliance to Enterprise Data Policy and its ...

LinkedIn

Sr. Data Governance Analyst

San Francisco, CA · On-site

... programs, preferably within HR, People Analytics, or workforce-related domains * Strong understanding of modern Data Governance principles including stewardship, ownership, metadata management ...

LinkedIn

Sr. Data Governance Analyst

Carpinteria, CA · On-site

... programs, preferably within HR, People Analytics, or workforce-related domains * Strong understanding of modern Data Governance principles including stewardship, ownership, metadata management ...

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All JobsData Governance Program Manager JobsData Governance Program Manager Jobs in California

Data Governance Program Manager information

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How much do data governance program manager jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for data governance program manager in California is $54.06, according to ZipRecruiter salary data. Most workers in this role earn between $40.10 and $66.20 per hour, depending on experience, location, and employer.

What is a Data Governance Program Manager?

A Data Governance Program Manager is responsible for developing and overseeing policies, procedures, and standards that ensure the effective management, quality, security, and compliance of an organization’s data assets. They coordinate efforts across departments to implement data governance frameworks, enforce data policies, and monitor adherence to regulatory requirements. Their role often involves leading teams, managing projects, and ensuring that data is used ethically and efficiently throughout the organization.

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

A Data Governance Program Manager needs a solid background in data management, business analysis, and project management, often supported by a degree in information systems or a related field. Familiarity with data governance frameworks, metadata management tools, data privacy regulations, and certifications like CDMP or DAMA are typically required. Strong leadership, stakeholder management, and communication skills help ensure effective collaboration across departments. These skills are essential to establish data standards, ensure data quality, and drive organizational compliance and value from data assets.

What are the most common challenges faced by Data Governance Program Managers when implementing new data policies across an organization?

One of the most common challenges Data Governance Program Managers face is ensuring consistent adoption of new data policies across various departments, which often have different priorities and levels of data literacy. Gaining buy-in from stakeholders and securing executive support is crucial, as is communicating the value of data governance clearly. Additionally, managing change and overcoming resistance, while aligning data practices with regulatory compliance and business needs, requires strong collaboration and negotiation skills. Regular training sessions and clear documentation can help streamline the process.
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Data Governance Program Manager jobs near you
Infographic showing various Data Governance Program Manager job openings in California as of June 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $112,447 per year, or $54.1 per hour.
Data Governance

Data Governance

East West Bank

Pasadena, CA • On-site

$115K/yr

Full-time

Posted 29 days ago

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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