Enterprise GenAl Architect

Job Title: Enterprise GenAl Architect

Location: Providence, RI, Ohio

Department: Strategy, Architecture, Infrastructure and Engineering

Job Summary: The Enterprise Data & Al Architect is responsible for aligning data and Al technology strategy with business goals, designing and maintaining the organization's data architecture, and ensuring that data solutions leverage advanced analytics and generative Al to meet current and future business needs. This role collaborates with stakeholders across business and IT to develop and implement enterprise-wide data Lakehouse standards, big data processes, real-time streaming architectures, master data management strategies, data governance, and Al/ML platforms.

Key Responsibilities:

• Develop and maintain the enterprise data Lakehouse architecture, frameworks, and guidelines.
• Collaborate with business and IT leaders to align data solutions with strategic objectives. :
  Evaluate and recommend data technologies including Snowflake, AWS Redshift, AWS EMR, and Apache Spark.
  Lead the design and implementation of complex big data, real-time streaming, and master data management systems.
• Ensure architectural integrity and consistency across data and Al projects, leveraging formats like Apache Iceberg.
• Create and maintain comprehensive documentation for data architectures, governance processes, and standards.
• Assess and mitigate risks associated with data architectures, ensuring robust governance and data quality practices.
• Provide expertise and mentorship to data engineers, analysts, and technical teams in building solutions using AWS SageMaker, AWS Bedrock, and other generative Al platforms.
  Monitor industry trends and emerging technologies in data management, analytics, and Al to drive innovation.
  Create roadmaps and blueprints for supporting advanced analytics, Al/ML, and generative Al capabilities.
  Adhere strictly to established architecture governance models and data compliance standards.
  Review product standards, patterns, and build configurations ensuring security, scalability, and lifecycle sustainability.
  Maintain security awareness and adhere to regulatory compliance related to data management and Al usage.
• Define strategic goals for modernizing and rationalizing enterprise data platforms.
• Ensure solutions adhere to CFG well-architected principles and best practices in cloud data management.
  Qualifications:
  Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or related fields.
• 8+ years of experience in Data and Al architectures, with at least 3 years specifically in enterprise data architecture roles.
  Deep expertise in enterprise data Lakehouse architectures, data modeling, and big data technologies.
  Strong knowledge of data governance, master data management (MDM), and data quality principles.
  Experience with cloud platforms (AWS), specifically with AWS Redshift, AWS EMR, AWS SageMaker, AWS Bedrock, Apache Spark, and Snowflake.