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Data Governance Jobs in Spring, TX (NOW HIRING)

Role Summary The Data Governance Lead will serve as the on-site program lead and primary client-facing authority for the Supply Chain Data Governance initiative. This role is accountable for ...

Data Governance Lead Location: Houston, TX (4 days a week onsite from Day 1) Job Type: Contract • Proven experience operationalizing Data Governance frameworks, updating runbooks, and integrating ...

Data Governance- Manager

Houston, TX · On-site

$99K - $232K/yr

The Opportunity As part of the Data Governance team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager ...

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Data Governance information

See Spring, TX salary details

$19

$48

$76

How much do data governance jobs pay per hour?

As of May 30, 2026, the average hourly pay for 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 a Data Governance job?

A Data Governance job focuses on managing the availability, integrity, security, and usability of an organization's data. Professionals in this role establish policies, processes, and standards to ensure data quality and compliance with regulations. They collaborate with various teams to define data ownership, improve data practices, and mitigate risks. The goal is to maximize the value of data while ensuring it is secure and reliable for decision-making.

What are the key skills and qualifications needed to thrive in the Data Governance position, and why are they important?

To thrive in Data Governance, you need a strong understanding of data management principles, data quality frameworks, and relevant regulatory requirements, often supported by a degree in information systems or a related field. Familiarity with data governance platforms (such as Collibra or Informatica), data mapping tools, and relevant certifications (like CDMP or DGSP) is highly beneficial. Attention to detail, stakeholder management, and effective communication are standout soft skills for this role. These capabilities ensure organizations can maintain high data quality, comply with regulations, and support informed business decision-making.

What are the typical responsibilities of someone working in Data Governance?

Professionals in Data Governance are responsible for establishing and enforcing data policies, standards, and procedures to ensure data accuracy, consistency, and security across the organization. They work closely with data owners, stewards, and IT teams to define data definitions, resolve data quality issues, and manage data lifecycle processes. Daily tasks often include conducting audits, facilitating data governance meetings, and providing guidance on regulatory compliance. This role is highly collaborative and often serves as the bridge between business and technical stakeholders, ensuring data assets are used responsibly and effectively.
What are the most commonly searched types of Data Governance jobs in Spring, TX? The most popular types of Data Governance jobs in Spring, TX are:
What job categories do people searching Data Governance jobs in Spring, TX look for? The top searched job categories for Data Governance jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Governance jobs? Cities near Spring, TX with the most Data Governance job openings:
Data Governance Lead

Data Governance Lead

Spruce Infotech

Houston, TX • On-site

Contractor

Posted 6 days ago


Job description

Role Summary
The Data Governance Lead will serve as the on-site program lead and primary client-facing authority for the Supply Chain Data Governance initiative. This role is accountable for establishing and operationalizing a federated data governance model, aligning Supply Chain stakeholders with Enterprise/CDO direction, and driving execution against the approved roadmap and milestones.
The role combines strategic governance leadership, stakeholder orchestration, and delivery oversight, ensuring progress across governance design, stewardship activation, KPI definition, and pilot execution-without directly owning tooling configuration or run-state operations.
Key Responsibilities
Program & Governance Leadership
• Lead the Supply Chain federated Data Governance operating model, including decision rights, councils, working groups, stewardship roles, and escalation paths.
  • Stand up and run the Supply Chain Data Governance Council and Working Groups, including agenda design, decision facilitation, and executive readouts.
  • Own the Data Governance Charter, principles, policies, and standards and ensure alignment with Enterprise/CDO/Polaris governance direction.

Stakeholder & Executive Engagement
• Act as the primary interface with senior Supply Chain leadership, Business Data Owners (BDOs), and the CDO/Polaris teams.
  • Drive Business Data Owner sign-offs on scope, standards, critical data elements, and governance decisions.
  • Manage dependencies across Supply Chain, Data Engineering, Platform, and Analytics teams.

Roadmap, Readiness & Delivery Oversight
• Lead the DG readiness assessment and "Get-Green" plan, including phased rollout sequencing and dependency management.
  • Own the pilot sub-domain selection, success criteria, and milestone tracking.
  • Ensure delivery of all monthly milestones, RAID management, and change control in line with the SOW cadence.

Standards, Metrics & Scale-Out
• Oversee definition of Critical Data Elements (CDEs/CDOs), business glossary standards, metadata and lineage blueprints.
  • Lead development of the DG and DQ KPI framework, including baseline definition and adoption measurement.
  • Define the scale-out governance playbook for replication across additional Supply Chain sub-domains.

Advisory & Enablement (Non-Technical)
• Provide governance oversight for AI-ready data pilots (advisory only; no AI or tooling implementation).
  • Guide change management activities, including communications, training approach, and adoption monitoring.

Required Experience & Skills
• 10+ years in Data Governance, Data Management, or Enterprise Data Leadership roles.
  • Proven experience defining and leading federated data governance models in large, complex organizations.
  • Strong understanding of metadata, lineage, stewardship, data quality frameworks, and data product concepts.
  • Executive-level stakeholder management and facilitation skills.
  • Familiarity with frameworks such as DAMA-DMBOK, DCAM, TOGAF.
  • Experience working with governance/catalog platforms (e.g., Purview, Collibra, Atlan, Alation) at a design and operating-model level.