AI-Driven Data Governance Expert

1 day ago

Vijayawada, Andhra Pradesh, India beBeeDataGovernance Full time ₹ 12,95,000 - ₹ 19,97,000

About Our Company:

As a leading technology provider, we deliver comprehensive event marketing and management platforms for professionals.

Our culture fosters intrapreneurship – encouraging employees to think and act like entrepreneurs. We value diverse perspectives.

Job Opportunity:

We seek a Data Governance Professional with AI expertise to manage and optimize our organization's data assets.

Key Responsibilities:

  • Understand enterprise data flow and integrations, leveraging AI tools to optimize data operations.
  • Develop comprehensive process documentation for AI-enhanced data management activities.
  • Build and monitor compliance reports to ensure adherence to data governance standards.
  • Collaborate with data stewards to identify and resolve data quality issues.
  • Manage data migration projects for acquired organizations, ensuring data integrity and consistency.
  • Conduct regular data quality assessments and audits to identify anomalies and areas for improvement.
  • Implement data stewardship practices to enhance data accuracy, reliability, and accessibility.
  • Establish data governance frameworks incorporating AI methodologies to support organizational data policies.
  • Manage metadata for proper documentation and data lifecycle management.

Requirements:

  • 2-5 years of experience in data governance with functional knowledge of data cataloging tools.
  • Proficiency in data analysis using SQL, Excel, and AI tools to derive actionable insights.
  • Strong knowledge of data governance frameworks and best practices, including data compliance.
  • Familiarity with data quality assessment, auditing processes, and AI techniques for maintaining high data standards.
  • Excellent analytical and problem-solving abilities, including AI-driven data analysis.
  • Strong communication and collaboration skills to effectively work with stakeholders and cross-functional teams.
  • Knowledge of regulatory requirements related to data management and protection.
  • Familiarity with data modeling and design concepts.
  • Understanding of data governance principles and standards to guide data stewardship activities.

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