AI-Powered Data Management Specialist

4 days ago

Hyderabad Secunderabad Telangana, India beBeeDataManagement Full time
Job Title: Data Management Specialist

We are seeking an experienced Data Management Specialist to lead the development and implementation of data management strategies across our global network. This role will be responsible for ensuring high-quality, consistent, and compliant data across multiple regions.

  • Data Governance:
    • Develop and implement data governance policies that meet regulatory requirements (e.g., GDPR, CCPA, SOX) and best practices.
    • Maintain a robust data quality framework to ensure accurate and reliable data.
  • AI and Machine Learning Implementation:
    • Collaborate with AI/ML teams to design and implement intelligent data systems using artificial intelligence and machine learning techniques.
    • Implement machine learning algorithms to automate data categorization, anomaly detection, and risk assessments within financial data systems.
  • Data Integration and Architecture:
    • Design and implement data integration frameworks that connect diverse data sources (e.g., transactional data, customer insights, financial records).
    • Create an enterprise data architecture that supports efficient, scalable, and secure data flows across platforms (on-premise and cloud-based).
  • Data Analytics and Reporting:
    • Work closely with data analysts and business intelligence teams to develop actionable insights that drive business decisions.
    • Provide data-driven recommendations through AI-powered analytics.
  • Financial Services Data Strategy:
    • Develop and maintain a strategic roadmap for financial services data across the organization.
    • Enhance the ability to track and manage financial data systems, ensuring accuracy and completeness in reporting, auditing, and regulatory compliance.
  • Collaboration and Stakeholder Management:
    • Engage with senior leaders and stakeholders to understand requirements and propose solutions.
    • Lead cross-functional teams to implement data-driven initiatives.
  • Continuous Improvement and Innovation:
    • Stay current with AI trends, data management best practices, and innovations in financial services data technologies.
    • Promote a culture of continuous improvement in data quality and AI-powered decision-making.

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