AI ML Computational Science Manager

Key Responsibilities:

• Define the platform Data Architecture Blueprint for client deployments across SaaS, Client Instance, and Hybrid archetypes. - Translate business and process requirements into conceptual, logical, and physical data models that seamlessly integrate with platform modules. - Develop data reference architectures, including ingestion, storage, transformation, and access layers. - Partner with Enterprise Architect Leads to design end-to-end data flows and integration strategies connecting ERP, CRM, and third-party systems. - Embed AI and analytics readiness into the architecture to ensure structured data for reasoning, forecasting, and automation use cases. Qualifications Required:

• Any Graduation

Key Responsibilities:

• Define the platform Data Architecture Blueprint for client deployments across SaaS, Client Instance, and Hybrid archetypes. - Translate business and process requirements into conceptual, logical, and physical data models that seamlessly integrate with platform modules. - Develop data reference architectures, including ingestion, storage, transformation, and access layers. - Partner with Enterprise Architect Leads to design end-to-end data flows and integration strategies connecting ERP, CRM, and third-party systems. - Embed AI and analytics readiness into the architecture to ensure structured data for reasoning, forecasting, and automation use cases. Qualifications Required:

• Any Graduation