VP - Data Governance & Strategy
- Compensation
- Not disclosed
- Location
- Dallas, United States
- Work setup
- Hybrid
- Seniority
- C level
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Deep expertise in enterprise data governance, data quality, metadata management, data stewardship, and data catalog platforms.
- Strong understanding of data privacy regulations (GDPR, CCPA), data security frameworks, and regulatory compliance requirements.
- Experience defining and operationalizing governance operating models, data ownership frameworks, and enterprise data policies at scale.
- Proven ability to build and sustain data quality programs, observability practices, and data lineage frameworks in complex organizations.
- Familiarity with modern data governance tooling, data catalogs, metadata management, and cloud-native data platforms.
Full description
The Opportunity
The VP of Data Governance & Strategy is a senior leadership role within Ookla’s Chief Data & Analytics Office responsible for defining and operationalizing the enterprise data governance strategy, policies, standards, and data ownership frameworks that enable trusted, high-quality, secure, and compliant data across Ookla. This role reports directly to the CDAO.
This leader will establish the governance vision, operating model, and cross-functional practices that ensure Ookla’s data is discoverable, well-defined, properly owned, and fit for purpose. Working across product, engineering, analytics, legal, compliance, and business teams, the role will drive a culture of data accountability, data literacy, and responsible data use aligned to enterprise strategy and regulatory expectations.
This position operates in a hybrid work environment and includes approximately 25% travel to support stakeholder engagement, governance program delivery, data quality initiatives, and team collaboration.
Key Responsibilities
- Define and lead Ookla’s enterprise data governance strategy, operating model, policies, standards, and multi-year roadmap.
- Establish and operationalize data ownership, data stewardship, and accountability frameworks across all data domains.
- Oversee enterprise data quality programs, including data quality rules, monitoring, observability, lineage, and remediation.
- Lead data security and privacy governance, ensuring compliance with regulatory requirements and enterprise data protection standards.
- Build and run the enterprise data catalog, metadata management practices, and data discovery capabilities.
- Drive data literacy, data enablement, and change management programs to build a data-fluent, governance-aware organization.
- Partner with legal, compliance, engineering, product, analytics, and CDAO leadership to embed governance into data platforms, pipelines, and workflows.
- Build, mentor, and develop a high-performing data governance, quality, security, and enablement organization.
Job Qualifications
Required Knowledge, Skills and Attributes
- Deep expertise in enterprise data governance, data quality, metadata management, data stewardship, and data catalog platforms.
- Strong understanding of data privacy regulations (GDPR, CCPA), data security frameworks, and regulatory compliance requirements.
- Experience defining and operationalizing governance operating models, data ownership frameworks, and enterprise data policies at scale.
- Proven ability to build and sustain data quality programs, observability practices, and data lineage frameworks in complex organizations.