Engineering Lead-data, Analytics & AI Platform

Engineering Lead for Data, Analytics & AI Platform at Deloitte, focusing on leading enterprise data and AI engineering teams, driving agentic AI engineering delivery, and owning cloud-native agentic architecture deployments with MLOps/LLMOps enablement.

What you'd actually do

  1. Serve as the primary accountability owner across Data & Analytics Platform Engineering and Agentic AI Platform Engineering owning deliverables, timelines, quality, and capacity alignment
  2. Lead delivery of application integrations and conversational analytics capabilities built to enterprise standards
  3. Drive agentic AI engineering delivery including AI agent portal development, reusable agentic frameworks, and enterprise-grade AI agent and tool engineering
  4. Own cloud-native agentic architecture deployments and MLOps/LLMOps enablement ensuring solutions are scalable, compliant, and interoperable
  5. Manage demand, capacity planning, and project scoping maintaining accurate forecasts and ensuring engineering commitments are met within agreed SLAs
  6. Engage directly with business stakeholders and technology leadership to align delivery priorities and effort estimates

Skills

Required

  • Enterprise data and AI engineering leadership
  • Enterprise data warehouse design
  • Data architecture
  • Semantic layer development
  • Data governance
  • Lineage
  • Metadata management
  • Application integrations
  • Conversational analytics
  • Agentic AI engineering
  • AI agent portal development
  • Reusable agentic frameworks
  • Enterprise-grade AI agent and tool engineering
  • Cloud-native agentic architecture deployments
  • MLOps
  • LLMOps
  • Demand management
  • Capacity planning
  • Project scoping
  • SLA management

Nice to have

  • Analytical ability to manage multiple projects and prioritize tasks
  • Independent operation with minimal supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations

What the JD emphasized

  • Hands-on experience leading enterprise data and AI engineering teams
  • Experience in leading enterprise data warehouse design, data architecture, and semantic layer development ensuring strong data governance, lineage, and metadata management practices

Other signals

  • leading enterprise data and AI engineering teams
  • Drive agentic AI engineering delivery
  • Own cloud-native agentic architecture deployments and MLOps/LLMOps enablement