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4 дня назад

Director, Data Governance (SaaS)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Director, Data Governance (SaaS): Establishing the governance function for enterprise data, metrics, and platforms with an accent on data trust, security, and compliance. Focus on building a data quality framework, managing access controls in Snowflake, and ensuring AI-readiness of enterprise data.

Location: Remote (United States)

Company

hirify.global is an AI-first cloud compliance platform that processes billions of API calls and millions of tax returns annually.

What you will do

  • Build and scale the Data Governance function from the ground up, defining the strategic roadmap and operating model.
  • Establish and maintain role-based access governance and data classification across Snowflake and other data platforms.
  • Develop a comprehensive data quality framework including monitoring, alerting, and remediation, specifically for financial reporting data.
  • Implement a data catalog and metadata management capability to improve data discoverability and lineage.
  • Partner with Legal, IT, and Privacy teams to ensure compliance with regulatory requirements, including SOC 2.
  • Collaborate with Data Engineering to ensure governance requirements are built directly into pipelines and semantic models.

Requirements

  • 8+ years of experience in data management, engineering, or analytics, ideally within a large-scale SaaS or tech business.
  • Deep expertise in data access controls, classification, lineage, and metadata management.
  • Experience working with finance organizations and a strong understanding of financial data production and governance.
  • Ability to review SQL code to ensure technical implementation aligns with business intent.
  • Must be based in the United States.
  • Hands-on experience with Snowflake or an equivalent cloud data warehouse.

Nice to have

  • Familiarity with dbt or similar pipeline transformation tooling.
  • Experience with data catalog platforms such as Alation, Collibra, or DataHub.

Culture & Benefits

  • Competitive compensation package including bonuses and paid parental leave.
  • Private medical, life, and disability insurance.
  • Inclusive environment with 8 employee-run resource groups and senior leadership sponsorship.
  • AI-driven culture where AI is embedded in daily workflows, decision-making, and products.

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