AIG - Atlanta, GA

posted about 1 month ago

Full-time - Manager
Atlanta, GA
Insurance Carriers and Related Activities

About the position

The Data Architecture/Ontology Lead at AIG is a managerial role responsible for overseeing the end-to-end execution of data architecture and ontology creation for various business applications across multiple geographies. This position plays a crucial role in defining and managing reference architecture, data models, and design principles, while ensuring compliance with data governance standards and data security policies. The lead will collaborate with project teams and stakeholders to enhance business performance through effective data management and integration strategies.

Responsibilities

  • Oversee end-to-end execution of data architecture and ontology creation for business applications.
  • Create and manage reference architecture, data models, and design principles for the information layer.
  • Define and drive information lifecycle management for data architecture features and user stories.
  • Document Data Architecture systems and processes updates meticulously.
  • Educate onboarding team members on Data Governance standards and the importance of early involvement of the Data Architecture team.
  • Partner with project teams to design and create enterprise information assets and services.
  • Collaborate with solution architects and stakeholders to drive knowledge sharing and benefits.
  • Ensure compliance with data security and privacy policies in data architecture.
  • Work with Data Governance team to ensure adherence to data quality and integrity processes.
  • Monitor and analyze market developments for applicability to business needs.

Requirements

  • Minimum of a Bachelor's degree; preferred Master's or Ph.D. in a relevant field.
  • Demonstrated ability to mentor project teams and develop junior resources.
  • Thought leadership in Data Architecture with strong communication skills at peer and senior levels.

Nice-to-haves

  • Experience with NoSQL, Document DB, and Graph DB technologies.
  • Familiarity with Master Data Management (MDM) and Reference Data design.
  • Understanding of AI and ontology design principles.

Benefits

  • Comprehensive benefits package focused on health, wellbeing, and financial security.
  • Professional development opportunities.
  • Flexible work arrangements.
  • Diversity and inclusion learning programs.
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