Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Широкая зона ответственностиПонятная ответственностьАктуальный стекРост команды
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Governance Platform Manager (AI): Building a trustworthy data governance platform across Redshift, dbt, Airflow, Segment, Lightdash, and AI tooling with an accent on data quality, lineage, semantic definitions, tracking standards, and security. Focus on designing automation, preventing upstream changes from breaking downstream systems, governing AI data access, and shaping a scalable roadmap while leading a growing analytics function.
Location: Remote in Brazil
Base salary: $75k–$120k/year
Company
hirify.global operates an on-demand marketplace for lawn care and outdoor services and is expanding into a single platform for home services across three brands.
What you will do
Own the data governance roadmap, prioritizing platform health and business needs across product, marketing, operations, and finance.
Build automated monitoring for source data, pipelines, reports, freshness, anomalies, and upstream schema changes.
Establish lineage and impact analysis from production sources through warehouse models, metrics, dashboards, and ML systems.
Administer and shape the Lightdash migration, including workspace structure, permissions, certification, naming standards, self-service, query performance, and warehouse costs.
Extend the governed semantic layer and maintain one trusted definition per metric.
Govern Segment event tracking, AI data access, data security, PII handling, retention, documentation, ownership, and review processes.
Requirements
Hands-on experience building trustworthy data systems, quality checks, automation, monitoring, and governance standards.
Experience using AI tools such as Claude Code, Copilot, or ChatGPT daily for automation, anomaly triage, quality checks, and documentation.
Experience as a hands-on manager accountable for other people's output, priorities, and time allocation while continuing to write SQL, debug Airflow DAGs, and configure permissions.
Product-minded approach: ability to turn vague stakeholder needs into a prioritized data roadmap and make independent sequencing decisions.
Automation-first quality practice based on monitors rather than manual review.
Ability to enforce standards across engineers and analysts through clear rules, effective tooling, and constructive communication.
Hands-on depth in the warehouse and pipeline layer, plus credible experience keeping a BI tool and tracking plan healthy at company scale.
Experience with some or all of the listed stack is acceptable; complete coverage of every tool is not required.
Culture & Benefits
Fully remote work with async collaboration as the norm.
Flexible PTO focused on results.
Start as the sole dedicated governance owner, then help hire a Lead Analytics Engineer reporting to you as the function grows.
Hands-on ownership in a small senior analytics team supporting the entire company.
Equal employment opportunities and compliance with applicable nondiscrimination laws.
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