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Data Governance Program Manager Jobs in Phoenix, AZ

ClifyX

Data Governance Product Owner

Phoenix, AZ · On-site

The role involves collaborating with technical teams to define business requirements, managing ... data governance tools like Collibra, Informatica, or other data governance platforms Company

Arizona State Hospital

Job Page

Phoenix, AZ · On-site

$77K - $82K/yr

This role manages a team of data governance professionals and partners with program areas, IT, analytics, compliance, privacy, security, finance, and executive leadership to establish and enforce ...

PNC Bank

Data Manager

Phoenix, AZ · On-site

Data Governance Develop and enforce data governance policies and procedures, focusing on data ... To learn more about these and other programs, including benefits for full time and part-time ...

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

As of Aug 8, 2026, the average hourly pay for data governance program manager in Phoenix, AZ is $54.39, according to ZipRecruiter salary data. Most workers in this role earn between $40.34 and $66.59 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?

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 Phoenix, AZ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,131 per year, or $54.4 per hour.

Analyst / Senior Analyst - Data Governance & Lineage

Tiger Analytics Inc.

Phoenix, AZ • On-site

$87K - $115K/yr

Full-time

Posted 18 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an Analyst / Senior Analyst to support a large-scale enterprise data governance program with one of our leading clients.

Responsibilities:

  • Document data lineage from Tier 1 consumption points through analytical data stores to systems of origin, capturing findings in the client's preferred tooling.
  • Support the design, development, and deployment of ADS components, data pipelines, and data quality controls (DQ rules, variance analysis, anomaly detection, comprehensiveness checks) on GCP.
  • Contribute to data modeling and target-state landscape design, support SME interviews, and work closely with engineering teams and business data office stakeholders day-to-day.
  • Operate as the bridge between engineering, enterprise architecture, and data office stakeholders, and present findings and recommendations directly to senior client leadership.
  • Bridge business and technical requirements by translating insights from the business data office into actionable engineering tasks.

Requirements

  • 2–5 years in data analysis, data engineering, or data governance (financial services preferred)
  • Working knowledge of GCP data services (e.g., BigQuery, Dataflow/Dataproc, Cloud Composer, Cloud Storage, Dataplex) and the ability to build and deploy pipelines and controls.
  • Strong SQL and at least one scripting language (Python preferred).
  • Familiarity with data modeling fundamentals and data lineage concepts, including metadata/lineage tooling.
  • Exposure to data quality rules, controls, or reconciliation processes.
  • Strong documentation and communication skills — able to turn SME conversations into clear, structured artifacts.
  • Comfortable interacting with senior client stakeholders in a professional setting.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.