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Data Governance Manager Jobs in Spring, TX (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Houston, TX · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... data governance and data security policies, and collaborating with business stakeholders to ...

Solomon Page

Manager Data Engineering

Houston, TX · On-site

$80/hr

In this role, you will oversee data pipelines, cloud data platforms, governance, analytics ... Lead end-to-end data management across ingestion, transformation, integration, quality, governance ...

AA2IT

SAP Data Analyst

Katy, TX · On-site

... Governance) • TMS (Transportation Management System) • CMIR (Customer-Material Info Record) • ADET Rules (Accelerator Data Enrichment Tool) • Transportation/Logistics (all modes): 1-2 years ...

IS3 Solutions

Senior Enterprise Data Architect

Houston, TX · On-site

$64.25 - $86/hr

Responsibilities : • Define and maintain the enterprise data architecture strategy including data models, integration frameworks, governance standards, and data lifecycle management in support of ...

Pwc

Data Strategy-Manager

Houston, TX · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data ...

Novocure

Data Architect

Houston, TX · On-site

$54 - $69.50/hr

Lead architecture decisions related to data governance, quality, metadata management, and master data management * Partner with business and technology leaders to identify opportunities to improve ...

Novocure Inc

Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Lead architecture decisions related to data governance, quality, metadata management, and master data management * Partner with business and technology leaders to identify opportunities to improve ...

INEOS Belgium

Data Management Lead

Houston, TX · On-site

$130 - $180/hr

The position is accountable for defining the operating model for data management, establishing data governance and quality standards, partnering with IT on secure and scalable platform access, and ...

Ineos

Data Management Lead

Houston, TX · On-site

The position is accountable for defining the operating model for data management, establishing data governance and quality standards, partnering with IT on secure and scalable platform access, and ...

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All JobsData Governance JobsData Governance Manager JobsData Governance Manager Jobs in Spring, TX

Data Governance Manager information

See Spring, TX salary details

$18

$46

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How much do data governance manager jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data governance manager in Spring, TX is $46.37, according to ZipRecruiter salary data. Most workers in this role earn between $34.38 and $56.78 per hour, depending on experience, location, and employer.

What is a data governance manager?

Data Governance Managers are professionals responsible for developing, implementing, and maintaining an organization's data governance policies and strategies. They ensure data quality, integrity, security, and compliance with relevant regulations. Their work involves collaborating with various departments to establish data standards, oversee data lifecycle management, and address data-related issues. By doing so, they help organizations maximize the value of their data while minimizing risks.

What are some common challenges faced by data governance managers when implementing new policies across an organization?

Data Governance Managers often encounter challenges such as resistance to change from stakeholders, varying data practices across departments, and the need to balance data accessibility with compliance requirements. Building consensus and securing buy-in from leadership and end-users is essential, as is ensuring that policies are clearly communicated and aligned with business goals. Addressing these challenges typically involves strong collaboration, continuous education efforts, and the development of practical, user-friendly governance frameworks.

What are the key skills and qualifications needed to thrive as a data governance manager, and why are they important?

To thrive as a Data Governance Manager, you need expertise in data management frameworks, data quality assurance, and regulatory compliance, typically supported by a degree in information management or a related field. Familiarity with data governance tools such as Collibra or Informatica, and certifications like CDMP (Certified Data Management Professional), are often required. Strong leadership, communication, and stakeholder management skills distinguish top performers in this role. These competencies ensure that organizational data is accurate, secure, and effectively leveraged for business value and regulatory adherence.

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

AspectData Governance ManagerData Analyst
Required CredentialsBachelor's degree in Information Management, Data Science, or related fields; certifications like CDMP or DAMA-DMBOKBachelor's degree in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentOversees data policies, compliance, and data quality; collaborates with IT and managementAnalyzes data sets, creates reports, and provides insights; works with business teams and IT
Employer & Industry UsageCommon in finance, healthcare, and large enterprises focusing on data complianceWidely used across industries for business insights and decision-making

The Data Governance Manager focuses on establishing data policies, ensuring compliance, and managing data quality, while the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong data skills but serve different functions within organizations.

Is data governance a good career?

Data Governance Managers oversee policies and standards for managing data quality, security, and compliance within organizations. The role requires strong analytical skills, knowledge of data management tools, and often certifications like CDMP or DAMA-DMBOK. It is a growing field with increasing demand due to the importance of data privacy and regulatory requirements.

What are popular job titles related to Data Governance Manager jobs in Spring, TX?

For Data Governance Manager jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Data Governance Manager jobs in Spring, TX look for?

The top searched job categories for Data Governance Manager jobs in Spring, TX are:

What cities near Spring, TX are hiring for Data Governance Manager jobs?

Cities near Spring, TX with the most Data Governance Manager job openings:

Data Governance Manager jobs near you
Infographic showing various Data Governance Manager job openings in Spring, TX as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $96,441 per year, or $46.4 per hour.

Enterprise Data Architect Consultant

CG Infinity

Houston, TX • On-site

Full-time

Re-posted yesterday

Job description

Enterprise Data Architect Consultant
Position Summary
CG Infinity is seeking a strategic and hands-on Enterprise Data Architect to design, build, and lead the implementation of a scalable, enterprise-wide data Lakehouse. This role will be responsible for developing a modern data architecture from the ground up, integrating multiple systems and business units into a unified data ecosystem that drives analytics, reporting, and business decision-making.
The ideal candidate combines deep technical expertise with strong business acumen, capable of leading discovery efforts, defining priorities, and ensuring data solutions are aligned with organizational goals. This individual will also play a key leadership role in establishing data governance, master data management (MDM), and enterprise data standards.
Key Responsibilities
Enterprise Data Architecture & Strategy
  • Design and implement a scalable, secure, and high-performance enterprise data Lakehouse from inception.
  • Define the end-to-end data architecture, including data ingestion, transformation, storage, integration, and consumption layers.
  • Establish architectural standards, frameworks, and best practices aligned with business and technology strategies.
  • Evaluate and recommend technologies (cloud platforms, ETL/ELT tools, data lakes, Lakehouses) to support long-term scalability.
Cross-Functional Discovery & Requirements Alignment
  • Lead discovery sessions with business and technical stakeholders to identify high-value use cases, priorities, and dependencies.
  • Translate business requirements into technical data models, data flows, and architecture designs.
  • Ensure alignment between data solutions and business objectives, including KPIs, reporting, and analytics needs.
  • Develop and maintain a data roadmap with clearly defined phases, milestones, and deliverables.
Data Lakehouse Development & Delivery
  • Oversee development of integrated data pipelines that connect disparate systems (ERP, CRM, operational systems, third-party platforms).
  • Define and implement data models (conceptual, logical, physical) to support analytics and reporting.
  • Establish data quality frameworks and ensure reliability, consistency, and integrity of enterprise data.
  • Ensure performance optimization and scalability of the data environment.
Data Governance & Master Data Management
  • Develop and implement enterprise data governance policies, standards, and controls.
  • Lead Master Data Management (MDM) initiatives to standardize key business entities across systems.
  • Define data ownership, stewardship, and accountability models across business units.
  • Ensure compliance with regulatory, security, and data privacy requirements.
Leadership & Stakeholder Engagement
  • Act as a trusted advisor to executive leadership, including the CTO and business leaders.
  • Communicate complex technical concepts clearly to non-technical stakeholders.
  • Lead cross-functional teams, including data engineers, analysts, and business users.
  • Drive adoption of data solutions across the organization through change management and stakeholder alignment.

Required Qualifications
  • 8+ years of experience in data architecture, data engineering, or enterprise data management roles.
  • Proven experience building an enterprise data Lakehouse from scratch spanning multiple systems and business units.
  • Strong experience with data modeling, ETL/ELT design, and data integration frameworks.
  • Hands-on experience with cloud data platforms (e.g., Azure, AWS, or GCP).
  • Demonstrated expertise in:
    • Python Development
    • Data Governance frameworks
    • Master Data Management (MDM)
    • Data quality and metadata management
  • Experience leading discovery sessions and requirements gathering workshops with senior stakeholders.
  • Strong understanding of enterprise systems (ERP, CRM, operational apps) and integration patterns.
  • Excellent communication, facilitation, and leadership skills.

Preferred Qualifications
  • Experience in consulting environments or multi-client, multi-business unit organizations.
  • Industry experience in oil & gas or chemical sectors, with an understanding of upstream, midstream, downstream, or refining operations.
  • Familiarity with modern data tools (e.g., Snowflake, Databricks, Azure Synapse, Power BI, Tableau).
  • Experience implementing data lakes, Lakehouse architectures, or hybrid data ecosystems.
  • Knowledge of Agile and iterative delivery methodologies.
  • Relevant certifications (e.g., Azure Data Architect, AWS Data Analytics, DAMA CDMP).

Success Metrics
  • Successful delivery of a fully operational enterprise data Lakehouse aligned with business priorities.
  • Measurable improvement in data accessibility, quality, and reporting capabilities.
  • Adoption of data governance and MDM practices across business units.
  • Delivery of a clear project roadmap with defined milestones, timelines, and outcomes.
  • Positive stakeholder feedback on alignment between business needs and technical solutions.

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