Head of Data Governance & Enterprise Context Eng

What you'll do

• Own the enterprise governance operating model, including policies, domain ownership, stewardship, classification, access, retention, and data quality.
• Set strategy and architecture for catalog, metadata, lineage, and machine-consumable enterprise context platforms.
• Drive adoption of data contracts, automated classification, policy-as-code, and continuous AI-readiness controls across the organization.

What they ask for

• 15+ years in data engineering, data platforms, or data management, focused on strategy, architecture, governance, and platform buildout.
• 8+ years leading data engineering teams, including senior and principal architects.
• Demonstrated experience scaling an enterprise data catalog or metadata platform and owning an end-to-end governance model that withstands audit or regulatory scrutiny.
• Technical depth across SQL, modern lakehouse platforms, transformation tooling, APIs, and data platform DevOps; experience building machine-consumable semantic context.

Nice to have

• Experience applying LLMs to governance, SaaS data at scale, or responsible AI frameworks.
• DAMA-DMBOK grounding, CDMP, CIPP or CIPT certification, or open-source contributions.

Pay

$238,500 - $311,375 USD base salary; $214,650 - $280,238 USD base salary; $197,955 - $258,441 USD base salary

Tools

DataHub, Unity Catalog, SQL, Snowflake, Databricks, BigQuery, dbt, MCP servers

AI focus

Builds trusted context and continuous AI-readiness controls for data consumed by models and agents; may apply LLMs to governance tasks such as metadata generation, classification, entity resolution, and quality triage.