Data Governance Manager

Crescent Energy Management•Houston, TX

1d•Hybrid

About The Position

The Data Governance Manager is responsible for establishing, operationalizing, and continuously improving the organization's enterprise data governance and application data management capabilities. This role will lead the development of governance processes, data stewardship practices, data quality initiatives, and master data programs that ensure trusted, consistent, and business-aligned data across the enterprise. This position serves as the bridge between business and technology teams, partnering closely with Operations, Engineering, Land, Finance, Regulatory, HSE, and IT to define and govern critical data assets. The Manager will be responsible for implementing governance frameworks, maintaining enterprise data standards, overseeing data quality management, and ensuring the integrity of master and reference data domains including wells, facilities, assets, vendors, customers, employees, and financial hierarchies. With deep understanding of upstream oil and gas data domains and enterprise data management practices, this role will play a critical part in accelerating the company's journey toward becoming a data-driven, technology-enabled enterprise. This position aligns closely with the enterprise data strategy and governance objectives established by the Director of Data & Analytics.

Requirements

Bachelor's degree in Information Systems, Computer Science, Business, Engineering, Data Management, or a related field.
7+ years of experience in data governance, master data management, data quality, or enterprise data management.
3+ years of leadership experience managing governance programs, MDM initiatives, or data management teams.
Experience implementing enterprise data governance frameworks and stewardship programs.
Proven success leading cross-functional enterprise data initiatives.
Experience supporting cloud-based data platforms, preferably Snowflake or comparable environments.
Deep understanding of data governance frameworks, stewardship models, metadata management, and master data management principles.
Strong knowledge of oil and gas data domains including wells, facilities, production, land, reserves, finance, and HSE.
Experience with data catalog, lineage, metadata, and data quality tools.
Strong understanding of data modeling, business process management, and enterprise architecture concepts.
Ability to balance governance rigor with practical business outcomes.
Excellent stakeholder management and facilitation skills.
Strong communication and organizational change management capabilities.
Ability to influence business and technical leaders at all levels of the organization.
Strategic thinker with a pragmatic, business-aligned execution style.

Nice To Haves

Master's degree is a strong plus.
Relevant certifications such as CDMP, PPDM or equivalent are preferred.
Industry experience in upstream oil and gas is strongly preferred.

Responsibilities

Lead the enterprise Master Data Management strategy and execution across key business domains including wells, assets, facilities, production, land, finance, vendors, and employees.
Establish and maintain master data models, hierarchies, business definitions, ownership structures, and governance processes.
Partner with business stakeholders to define and maintain authoritative systems of record and systems of reference.
Develop and manage data matching, survivorship, deduplication, and record stewardship processes.
Define and enforce standards for master and reference data creation, maintenance, and retirement.
Support enterprise initiatives involving acquisitions, divestitures, and system integrations by ensuring consistent master data management practices.
Drive the creation of a trusted "single source of truth" for critical enterprise data domains.
Develop and operationalize an enterprise data governance framework including policies, standards, controls, stewardship models, and governance councils.
Facilitate governance committees and working groups to drive alignment across business units.
Define roles and responsibilities for data owners, stewards, custodians, and consumers.
Establish governance workflows for data issue resolution, policy enforcement, and exception management.
Create and maintain enterprise data standards, business glossaries, and metadata management processes.
Drive adoption of governance practices across both business and technology teams.
Promote data accountability and stewardship as core organizational capabilities.
Define and manage enterprise data quality strategies, metrics, scorecards, and continuous improvement initiatives.
Establish data quality monitoring processes for completeness, accuracy, consistency, validity, timeliness, and uniqueness.
Partner with Data Engineering, Analytics and Digital Enablement, and business teams to identify and remediate data quality issues.
Implement root-cause analysis processes to reduce recurring data issues.
Develop reporting and dashboards that provide visibility into data quality trends and governance effectiveness.
Establish data quality KPIs and governance performance measures.
Lead the implementation and ongoing management of enterprise metadata, business glossary, and data catalog capabilities.
Maintain data lineage documentation across critical business processes and systems.
Partner with architecture and engineering teams to ensure metadata standards are embedded into the data platform.
Support information lifecycle management activities including classification, retention, archival, and disposition processes.
Partner directly with business leaders and subject matter experts to define critical data elements, business rules, and governance priorities.
Build and lead a network of business data stewards across the organization.
Facilitate data governance training and awareness programs.
Support enterprise reporting, analytics, regulatory reporting, and operational decision-making through improved data quality and governance.
Ensure governance processes support regulatory, financial, operational, and audit requirements.
Partner with Cybersecurity, Compliance, and Internal Audit teams to support data-related controls and risk management activities.
Assist in establishing data classification, privacy, and information protection standards.
Support audit activities involving data controls, data lineage, and governance processes.
Monitor adherence to governance policies and standards across the enterprise.
Lead and develop a team of data governance analysts, MDM specialists, and data stewards.
Foster a culture of accountability, collaboration, continuous improvement, and data ownership.
Establish clear goals, performance expectations, and development plans for team members.
Drive organizational adoption of governance and data management best practices.