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3 дня назад

Data Governance Lead (Data Governance)

170 000 - 253 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Governance Lead (Data Governance): Implementing and maturing enterprise data governance across business applications, analytics, AI use cases, data platforms, and enterprise processes with an accent on stewardship, metadata, lineage, and data quality. Focus on leading distributed stewardship communities, influencing cross-functional stakeholders without formal authority, and translating governance strategy into measurable operational improvements.

Location: Morrisville, North Carolina, United States; hybrid work with in-office and/or in-person expectations

Salary: USD 170,000–253,000 annual on-target earnings, including base salary and potential commission.

Company

hirify.global provides intelligent data infrastructure, unified storage, integrated data services, and cloud solutions supporting enterprise workloads, AI, and multicloud environments.

What you will do

  • Implement and continuously improve practical enterprise data governance processes for operations, analytics, reporting, AI readiness, and business applications.
  • Partner with application owners, analytics teams, data engineers, and business leaders to embed governance into platforms, integrations, reporting, and decision-making.
  • Guide, coach, train, and mentor a geographically distributed community of data owners and stewards.
  • Build stakeholder alignment, resolve competing priorities, and lead cross-functional outcomes through influence rather than formal authority.
  • Develop governance communications, learning materials, policies, standards, business glossaries, metadata, lineage, controls, and approval workflows.
  • Define data quality rules and measures, lead root-cause analysis and remediation, and advise teams on scalable governance solutions.

Requirements

  • 10–15 years of progressive experience in data governance, data management, analytics enablement, enterprise applications, business transformation, or a related field.
  • Experience influencing diverse stakeholders, facilitating alignment, resolving conflict, and leading cross-functional initiatives without formal authority.
  • Experience coaching and mentoring geographically distributed stewardship communities and creating playbooks, learning materials, and repeatable forums.
  • Working knowledge of data stewardship models, data quality, business glossaries, metadata, lineage, controls, policies, standards, and issue management.
  • Experience supporting governed data for reporting, analytics, operational decision-making, and enterprise business applications.
  • Bachelor’s degree in business, information systems, data management, computer science, engineering, or a related field; experience with Oracle Cloud ERP, Salesforce, SAP CRM, Snowflake, or metadata management platforms is strongly desired.

Nice to have

  • Advanced degree.
  • Certifications in data governance, analytics, metadata management, cloud data platforms, change leadership, or enterprise applications.
  • Experience in a product-centric technology infrastructure sector or another complex global environment.

Culture & Benefits

  • Hybrid working environment focused on collaboration and connection.
  • Health insurance, life insurance, retirement or pension plans, paid time off, and leave options, subject to regional policies.
  • Employee stock purchase plan and/or restricted stock units may be included.
  • Inclusive workplace that values initiative, impact, ownership, flexibility, and work-life balance.

Hiring process

  • Applications are reviewed through the company website.
  • Some hiring stages may use AI-assisted tools for candidate matching and initial evaluation, with final decisions supported by human review.
  • Candidates may request an alternative selection process without electronic automated employment evaluation.

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