6 дней назад
Data Governance Platform Manager (AI)
75 000 - 120 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Governance Platform Manager (AI): Building the governance system for a modern analytics platform, covering data quality, lineage, semantic metrics, Segment tracking, Lightdash administration, and AI data readiness with an accent on trustworthy data from source systems through dashboards and machine learning models. Focus on designing automated monitoring, enforcing data contracts, scaling observability, and turning business needs into a prioritized data platform roadmap.
Location: Remote from Mexico, Colombia, Peru, or Uruguay
Base salary: $75,000–$120,000 per year
Company
operates an on-demand marketplace for lawn care and outdoor services and is expanding into a broader home-services platform across , Lawn Love, and Home Gnome.
What you will do
- Own the data governance roadmap across product, marketing, operations, and finance.
- Build automated monitoring for data quality, freshness, anomalies, lineage, and source-data changes.
- Administer the Lightdash migration, including workspace structure, permissions, certification, naming standards, self-service enablement, query performance, and warehouse cost control.
- Extend the governed semantic layer and maintain one authoritative definition for each metric.
- Manage Segment event-tracking governance, including event standards, property dictionaries, ownership, lifecycle reviews, and drift detection.
- Improve AI data readiness, privacy, access controls, PII handling, retention, and data-contract workflows.
Requirements
- Hands-on experience with data warehouses and pipelines, including SQL, Redshift, dbt, and Airflow or comparable technologies.
- Experience keeping a BI platform and tracking plan healthy at company scale.
- Ability to lead while continuing to build, debug pipelines, write checks, and configure permissions personally.
- Strong product thinking, roadmap ownership, prioritization, stakeholder management, and data-governance judgment.
- Automation-first approach to monitoring, anomaly detection, documentation, and recurring quality checks.
- Comfort using AI tools to build automation and govern data consumed by AI agents.
Nice to have
- Experience with Lightdash, Tableau, Metabase, Segment, Fivetran, or AI-powered analytics observability tools.
- Experience establishing data contracts and integrating impact analysis into engineering change reviews.
Culture & Benefits
- Fully remote work with asynchronous collaboration and a focus on deep, independent work.
- Flexible paid time off.
- Start as the first dedicated data-governance hire, with the opportunity to hire and lead a Lead Analytics Engineer as the function grows.
- Hands-on ownership of a platform that is still being built rather than maintaining a finished governance system.
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