Remote Data Governance Lead & Platform Quality

LawnStarter; Bogotá; A distancia; COP 248.369.000 - 397.390.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible PTO

Descripción de la vacante

LawnStarter is seeking a hands-on Data Governance leader who will own the roadmap, quality, and security of our data assets. You’ll shape how product, marketing, ops, and finance rely on trusted data, lead a growing governance function, and enable self-serve analytics across the company.

You’ll drive lightdash adoption, ensure data contracts, and oversee event tracking governance while collaborating with engineering and analytics to scale a trusted data platform.

Formación

• Governance is your craft and you love building trustworthy data systems.
• You write SQL, debug data pipelines, and configure permissions personally.
• You combine product thinking with data discipline to drive business outcomes.
• Automation-first mindset: build monitors and automate checks to scale.

Responsabilidades

• Own the data governance roadmap and prioritize work across product, marketing, ops, and finance.
• Lead data quality, freshness monitoring, and upstream/downstream data contracts.
• Extend and protect the semantic layer and data lineage across pipelines and dashboards.
• Administer Lightdash, structure workspaces, and enable self-serve data responsibly.
• Define and enforce event tracking standards (Segment) and data security practices.

Conocimientos

Governance

SQL

Leadership

AI-native

Automation

Data quality

Herramientas

Redshift

dbt

Airflow

Lightdash

Segment

Brain

Descripción del empleo

LawnStarter is seeking a hands-on Data Governance leader who will own the roadmap, quality, and security of our data assets. You’ll shape how product, marketing, ops, and finance rely on trusted data, lead a growing governance function, and enable self-serve analytics across the company.

You’ll drive lightdash adoption, ensure data contracts, and oversee event tracking governance while collaborating with engineering and analytics to scale a trusted data platform.