S&C Global Network AI FS Data Management Specialist

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.
•