Data Architecture Manager

Job Purpose

The Data Architecture Manager will contribute to the business purpose of a Regional Insurance Leader by being a data-driven, technologically savvy, and hands‑on Data Architect with Data Engineering exposure on AWS and Azure Cloud. You will express your passion with GIG Gulf business and IT stakeholders to:

• Define and maintain GIG Gulf IT Data standards, architectural guidelines, and solutions.
• Lead pilots, POCs, and exploration of new innovative solutions, practices, and patterns.
• Influence the delivery of GIG Gulf Data & AI projects on time, quality, and budget.
• Actively contribute to GIG Gulf’s Data & AI vision and roadmap, including business case definition, project requirements, organization, and methodology.

• Lead the definition and maintenance of GIG Gulf’s enterprise data and AI architecture and delivery roadmap.
• Drive the data and AI architecture aligned with GIG Gulf’s business and technology strategy.
• Contribute to the IT Strategy Plan, including cloud, data, analytics, and AI capabilities.
• Support the selection and evolution of data and AI platforms, technologies, and strategic partners.

• Define architectural patterns for data platforms supporting analytics, reporting, AI/ML, and GenAI use cases.
• Guide the design of AI‑ready data foundations, including structured and unstructured data pipelines.
• Ensure architectural consistency, reuse, and alignment across data, analytics, and AI solutions.
• Work closely with information security, risk, and compliance teams to embed governance and controls.

Strong technical leader with broad and in‑depth understanding of:

• Data architecture
  , data modeling
  , and data governance
  .
• Data engineering and cloud‑native data platforms
  .
• Analytics
  , BI
  , and AI/ML solution patterns
  .
• Generative AI concepts including LLM‑based solutions
  , retrieval‑augmented generation (RAG), and vector‑based retrieval architectures
  .
• Maintain practical knowledge of data and AI services from AWS and Azure along with modern development practices.

Function as an active, initiative‑taking Data and AI Architect for GIG Gulf initiatives:

• Refine and maintain data and AI architecture frameworks, guidelines, and design patterns.
• Define target‑state architectures for master data (customer, product, provider, referential data).
• Contribute to solution and technical architecture covering:
  • Data lakes and analytical platforms.
  • AI/ML and GenAI
    -enabled use cases.
• Design architecture that supports AI workloads, including (desirable):
  • Retrieval‑augmented generation (RAG) patterns.
  • Vector storage and semantic retrieval for enterprise knowledge use cases.
  • Secure integration of public or foundation models with internal data.

Maintain a strong delivery and results orientation:

• Contribute to the data and AI roadmap aligned to business priorities.
• Lead implementation of data and analytics solutions on AWS (e.g.,
  S3
  , Glue
  , Redshift
  , RDS
  , Lambda
  , Athena
  ) and/or Azure (e.g.,
  Data Lake Storage
  , Data Factory
  , Synapse Analytics
  , Azure Functions
  , Event Hubs
  ).
• Oversee data modeling for OLTP and OLAP systems, including data quality, cleansing, and de‑duplication initiatives.
• Guide data engineering practices using Spark (
  Python
  , Spark SQL
  ), data workflows, and automated pipelines.
• Support AI‑enabled analytics and reporting use cases through curated data marts and BI extensions.
• Ensure solutions are production‑ready, documented, and maintainable.

• Define architectural guardrails for enterprise AI usage, including (desirable):
  • Responsible and compliant use of LLMs and GenAI services.
  • Data access, privacy, and residency controls for AI solutions.
  • Integration patterns for AI agents and automated workflows where applicable.
• Support evaluation and controlled adoption of AI technologies, avoiding fragmented or unmanaged deployments.
• Ensure AI solutions are aligned with enterprise architecture, security, and regulatory requirements.

• Prepare clear, structured architectural proposals and decision papers with…