Head of Data Governance & Platform Trust - Remote

LawnStarter

México

A distancia

MXN 1.366.000 - 2.185.000

Jornada completa

Hace 7 días
Sé de los primeros/as/es en solicitar esta vacante
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Fully remote
Flexible PTO

Descripción de la vacante

LawnStarter is expanding its analytics team and seeking a hands-on Data Governance Lead to own data quality, lineage, and security across the data stack. You will shape the roadmap with product, marketing, ops, and finance to ensure trustworthy data, while guiding the migration to Lightdash and maintaining centralized governance.

You’ll build end-to-end governance, enable self-serve analytics, and establish durable standards for metrics, events, and data access in a remote-friendly environment.

Formación

  • Governance is your craft and you love building trustworthy data systems.
  • You own data quality, lineage, and security end-to-end.
  • You can translate business needs into prioritized data work.

Responsabilidades

  • Own the data governance roadmap and prioritize platform investments.
  • Build and enforce data quality checks and lineage across pipelines.
  • Manage Lightdash migration and governance structure for self-serve analytics.
  • Define and govern the semantic layer for critical metrics.
  • Oversee event tracking governance and data security/privacy practices.
  • Lead AI data readiness and ensure safe access for AI tools.

Conocimientos

Data governance
SQL
dbt
Airflow
Lightdash
Segment
Data quality
Data lineage

Herramientas

Redshift
Lightdash
Tableau
Metabase

Descripción del empleo

LawnStarter is expanding its analytics team and seeking a hands-on Data Governance Lead to own data quality, lineage, and security across the data stack. You will shape the roadmap with product, marketing, ops, and finance to ensure trustworthy data, while guiding the migration to Lightdash and maintaining centralized governance.

You’ll build end-to-end governance, enable self-serve analytics, and establish durable standards for metrics, events, and data access in a remote-friendly environment.

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