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Urgent! S&C Global Network AI FS Data Management Specialist Job Opening In India, India – Now Hiring Confidential

S&C Global Network AI FS Data Management Specialist



Job description

Key Responsibilities:

  • Data Management and Governance:
  • Oversee the data management strategy for financial services within the global network to ensure data quality, consistency, and compliance across multiple regions.
  • Implement data governance policies to ensure adherence to regulatory requirements (e.g., GDPR, CCPA, SOX) and best practices.
  • Develop data models and workflows that meet the business requirements while ensuring data security and privacy.
  • AI and Machine Learning Implementation:
  • Work closely with AI/ML teams to build intelligent data systems, utilizing artificial intelligence and machine learning techniques to improve data quality, predictive analytics, and decision-making processes.
  • Implement machine learning algorithms to automate data categorization, anomaly detection, and risk assessments within financial data systems.
  • Integrate AI-powered tools with data lakes and cloud storage systems to enhance the analysis of large datasets in real-time.
  • Data Integration and Architecture:
  • Design and implement data integration frameworks that connect diverse data sources (e.g., transactional data, customer insights, financial records) across the S&C Global Network.
  • Create an enterprise data architecture that supports efficient, scalable, and secure data flows across platforms (on-premise and cloud-based).
  • Ensure seamless data pipeline integration using technologies such as ETL (Extract, Transform, Load), APIs, and real-time data streaming.
  • Data Analytics and Reporting:
  • Collaborate with data analysts and business intelligence teams to develop insights that drive business decisions within financial services.
  • Provide actionable data insights through AI-driven analytics, enabling stakeholders to make informed decisions.
  • Utilize data visualization tools (e.g., Power BI, Tableau) to create reports and dashboards for senior leadership, identifying trends, patterns, and potential risks.
  • Financial Services (FS) Data Strategy:
  • Develop and maintain a strategic roadmap for financial services data across the S&C Global Network, aligning with business goals and IT objectives.
  • Work with cross-functional teams to improve the data lifecycle management process from data collection and storage to analysis and reporting.
  • Enhance the ability to track and manage financial data systems, ensuring accuracy and completeness in reporting, auditing, and regulatory compliance.
  • Collaboration and Stakeholder Management:
  • Work closely with business stakeholders, including senior leaders, to understand requirements and propose solutions that address data challenges within global financial networks.
  • Lead cross-functional teams to implement data-driven solutions, fostering collaboration between business, technology, and data teams.
  • Provide training and support to teams on the effective use of AI-powered data management tools and data governance processes.
  • Continuous Improvement and Innovation:
  • Stay current with AI trends, data management best practices, and innovations in financial services data technologies.
  • Propose and implement new technologies or processes that can improve data management efficiency, scalability, or automation.
  • Develop a culture of continuous improvement in data quality and AI-powered decision-making within the organization.

Requirements:

  • Education:
  • Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, Financial Services, or related fields.
  • Relevant certifications in AI/ML, Data Management, or Financial Services are a plus.
  • Experience:
  • 5+ years of experience in data management, AI/ML applications, and financial services.
  • Proven track record of managing large-scale data projects within global networks.
  • Hands-on experience with AI-powered data systems, predictive analytics, and data pipelines.
  • Expertise in financial data management, including compliance, reporting, and risk management processes.
  • Technical Skills:
  • Strong knowledge of data integration tools (e.g., ETL, API integration, streaming data).
  • Experience with AI frameworks (e.g., TensorFlow, PyTorch, Azure AI).
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data storage and computing.
  • Advanced proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark, Databricks).
  • Proficient in data visualization tools such as Power BI, Tableau, or similar.


Skills Required
Power Bi, Tableau, Etl, Api Integration, Streaming Data


Required Skill Profession

Computer Occupations



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