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Sap Master Data Governance Jobs in Spring, TX (NOW HIRING)

NAVA Software Solutions

Data/AI Lead

Houston, TX · On-site

Knowledge of master data management, document management, and data warehouses * Knowledge of data security policy creation, data security control definitions and data security governance processes

flowcontrol

Financial Analyst

Denver, CO · On-site

... governance across the organization. This role will work closely with Accounting, Finance ... Support master data management processes, including the chart of accounts, vendor/customer ...

flowcontrol

Financial Analyst

Houston, TX · On-site

... governance across the organization. This role will work closely with Accounting, Finance ... Support master data management processes, including the chart of accounts, vendor/customer ...

Ketjen

Head of Applications

Houston, TX · On-site

SAP is the core ERP, supported by master data governance, cloud services, and specialized systems for individual functions. Experience in manufacturing is important, with particular value placed on ...

Ketjen

Head of Applications

Houston, TX · On-site

$217K/yr

SAP is the core ERP, supported by master data governance, cloud services, and specialized systems for individual functions. Experience in manufacturing is important, with particular value placed on ...

Robert Half

MDM Product Owner

Houston, TX · On-site

$60 - $65/hr

Through 2/26/27, extensions likely This senior-level Product Owner position focuses on driving enterprise Master Data Management initiatives that improve data quality, governance, stewardship ...

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How much do sap master data governance jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for sap master data governance in Spring, TX is $48.75, according to ZipRecruiter salary data. Most workers in this role earn between $36.15 and $59.66 per hour, depending on experience, location, and employer.

What is an SAP Master Data Governance?

An SAP Master Data Governance (MDG) job focuses on managing and ensuring data integrity, consistency, and compliance within an organization using SAP MDG solutions. Professionals in this role define data governance policies, oversee data quality, and implement workflows to standardize master data across business units. They collaborate with IT and business teams to maintain accurate and reliable master data, reducing redundancies and errors. Additionally, they support data migration, integration, and regulatory compliance efforts. Effective MDG implementation helps organizations improve decision-making, streamline operations, and enhance overall business efficiency.

What does an SAP Master Data Governance do?

Professionals in SAP Master Data Governance are responsible for managing and maintaining master data quality, monitoring data flows, and resolving data-related issues as they arise. They collaborate closely with business process owners, IT teams, and data stewards to define data standards, validate data entries, and implement governance policies. A typical day may include configuring SAP MDG systems, conducting data audits, supporting data integration projects, and providing user training. This role is vital for ensuring that the organization’s business processes run smoothly by upholding data accuracy and compliance.

What are the key skills and qualifications needed to thrive in SAP Master Data Governance?

To thrive as an SAP Master Data Governance professional, you need expertise in data management, SAP MDG solutions, and a strong understanding of business processes, usually backed by a relevant degree or SAP certification. Familiarity with SAP Master Data Governance modules, data migration tools, and integration technologies such as SAP ECC or S/4HANA is important. Analytical thinking, attention to detail, and strong communication skills help ensure effective collaboration across business and IT teams. These skills and qualities are crucial for maintaining data quality and consistency, supporting business operations, and driving successful data governance initiatives.

Is SAP Master Data Governance in demand?

SAP Master Data Governance is in high demand as organizations seek to improve data quality, consistency, and compliance across enterprise systems. Professionals with skills in SAP MDG, data management, and related tools are increasingly sought after in industries implementing digital transformation initiatives.

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

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

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

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

Sap Master Data Governance jobs near you
Infographic showing various Sap Master Data Governance job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,393 per year, or $48.7 per hour.

Enterprise Data Architect Consultant

CG Infinity

Houston, TX • On-site

Full-time

Posted 26 days ago

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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