Senior Manager

1. Solution Complex AI & Data Problems for Enterprise Clients

• Engage with senior business, data, and technology stakeholders to understand complex AI & Data requirements
• Lead solution discovery and architecture definition for ambiguous, high-impact problem statements
• Translate business objectives into clear, executable AI & Data platform architectures
• Own architectural outcomes from problem definition through design sign-off

2. Architect End-to-End Microsoft Fabric & Azure Platforms

• Design enterprise-scale architectures using:
  • Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Power BI)
  • Azure Data Factory (ADF) for ingestion and orchestration
  • Azure Synapse, Spark, and Notebooks
• Define enterprise data platform patterns, including:
  • Bronze, Silver, and Gold data layers
  • Data modeling and semantic layer design for analytics and BI

• Define and implement Data Product architectures aligned to business domains, ensuring clear ownership, discoverability, governance, quality, and reusable consumption patterns.
•  Lead enterprise data modeling initiatives, including conceptual, logical, and physical data models, supporting analytics, reporting, AI, and cross-domain integration requirements.
• Design domain-oriented Data Products using Microsoft Fabric, enabling scalable self-service analytics, governed data sharing, and business value realization.

• Ensure architectures meet scalability, performance, reliability, cost, and security requirements
• Align solutions with enterprise cloud, data governance, and compliance standards

3. Enable AI, Advanced Analytics & GenAI Use Cases

• Architect AI-enabled analytics platforms using:
  • Azure AI Services
  • Azure OpenAI / GenAI capabilities
• Design architectures that support:
  • Intelligent insights and advanced analytics
  • AI-augmented BI and decision-support systems
  • Responsible and secure GenAI adoption
• Balance key trade-offs across cost, latency, security, and scalability

4. Presales, Solution Shaping & Client Advisory

• Lead and contribute to presales and solution-shaping activities, including:
  • Client discovery and architecture workshops
  • End-to-end solution design and approach definition
  • RFP / proposal responses and technical storytelling
  • Architecture reviews and estimations
• Partner with sales and leadership teams to:
  • Define differentiated Microsoft Fabric–based solutions
  • Clearly articulate solution value, architecture, and trade-offs
• Act as a trusted AI & Data architecture advisor during early-stage client conversations

5. Guide Delivery & Architecture Governance

• Work closely with delivery and engineering teams to:
  • Validate architecture feasibility
  • Guide key implementation and design decisions
  • Review complex components and integration patterns
• Ensure architecture consistency across build, deployment, and production
• Support operational readiness, observability, and support considerations

6. Define Reusable Architecture Assets & Best Practices

• Create reference architectures, solution blueprints, and reusable design patterns
• Codify best practices for:
  • Enterprise Microsoft Fabric adoption
  • AI & Data platform modernization
  • Scalable analytics and BI architectures
    • Contribute to EY GDS architecture standards and IP