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Data Governance and Compliance Specialist

Posted 2 days agoViewed

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💎 Seniority level: Senior, 8+ years

📍 Location: USA

💸 Salary: 137000.0 - 172000.0 USD per year

🔍 Industry: Crypto and Web3

🏢 Company: Gemini👥 501-1000💰 $1,000,000 Secondary Market over 2 years ago🫂 Last layoff almost 2 years agoCryptocurrencyWeb3Financial ServicesFinanceFinTech

⏳ Experience: 8+ years

🪄 Skills: BlockchainComplianceRisk ManagementData modelingData management

Requirements:
  • 8+ years of experience in data governance, data management, compliance, or related fields.
  • Familiarity with regulatory requirements and industry standards relevant to cryptocurrency, fintech, or financial services.
  • Experience in supporting risk assessments, internal audits, or GRC initiatives is a plus.
  • Understanding of data architecture, data modeling, and governance tools.
  • Knowledge of data privacy regulations like GDPR and CCPA.
  • Familiarity with blockchain technology and its implications for data management.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills for translating technical concepts into actionable insights.
  • Proven ability to collaborate across teams and manage multiple priorities.
Responsibilities:
  • Drive the creation and execution of data governance frameworks, policies, and processes aligned with Gemini’s business goals and regulatory requirements.
  • Maintain and update the organization’s business glossary and data dictionary.
  • Lead the development of data quality standards and validation processes.
  • Collaborate with the GRC team on compliance strategies.
  • Contribute to audits and reports to validate compliance with data privacy regulations.
  • Support risk assessments to identify and mitigate data-related issues.
  • Collaborate with audit teams for data-related audits.
  • Participate in cross-functional risk mitigation projects.
  • Work with Data, Security, and Product teams to incorporate data governance into processes.
  • Ensure compliance requirements are integrated into new product features.
  • Help develop training programs on data governance.
  • Promote a culture of data stewardship.
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