Team Overview: Data Solutions builds trusted, reusable data products and analytics that power Network & Data offerings. We partner with the Chief Data Office to ensure governed, compliant, discoverable data foundations that scale insight and AI.
The Lead Data Governance Specialist defines and drives data governance for the Network Data Solutions domain and acts as the Data Steward for the domain. This role partners with Product and Engineering to operationalize data quality, metadata, and compliance, and serves as the domain liaison to the Chief Data Office in a hub-and-spoke model.
Roles and responsibilities:
- Governance operating model: Define standards, routines, and adoption plans aligned to enterprise governance.
- Chief Data Office liaison: Represent domain needs and drive alignment in a hub-and-spoke model.
- Metadata & documentation: Maintain definitions, classifications, and lineage so data is discoverable and usable.
- Data quality & stewardship: Define measures, enable monitoring, and partner on remediation and prevention.
- Embed governance in delivery: Create repeatable patterns integrated into product and engineering workflows.
- Compliance & risk: Partner with privacy/security to implement controls and support audits/assessments along with Data Use Rights.
- Enablement & reporting: Train teams, influence adoption, and report progress via clear KPIs.
Required qualifications:
- Bachelor's degree (or equivalent experience) in a related field.
- 11+ years of overall industry experience in software development and relevant domains
- 8+ years in data governance/data management, including implementing or operating a governance program.
- Working knowledge of data governance fundamentals (quality, metadata/lineage, stewardship) and how to embed them in delivery.
- Familiarity with modern data platforms and governance/quality tools; comfortable working with data models and queries.
- Strong cross-functional influence and communication skills (Product, Engineering, Analytics, Privacy/Security).
- Experience working with enterprise data offices and hub-and-spoke governance models.
- Knowledge of Data Mesh concepts (data as a product, domain ownership, federated governance).
- Experience with cloud data platforms (e.g., Snowflake) and integrating governance into agile delivery.
