Sr Manager, Lead Delivery Leader

This role is for a Sr. Manager, Lead Delivery Leader at Deloitte, focusing on orchestrating AI-native implementations and delivery workflows. The individual will manage portfolio-level delivery coordination, stakeholder alignment, and the delivery operating model, including the use of AI agents and assistants in delivery processes. Key responsibilities include managing LLM and agentic AI costs, driving AI delivery budget planning, and coaching Delivery Managers in AI-native methodologies. The role emphasizes evidence-gated delivery and operational excellence in AI-assisted execution.

What you'd actually do

  1. Portfolio-level delivery coordination: Orchestrate execution across multiple product teams, service lines, and enterprise functions. Hold the cross-team view that no single product team can hold for itself.
  2. Stakeholder orchestration: Hold the relationship with internal Deloitte stakeholders at the program level, service line leaders, function heads, platform owners and reconcile the cross-stakeholder inconsistencies that show up at scale.
  3. Delivery operating model: Own how Delivery work is governed in your portfolio. Define the templates, intake patterns, evidence gates, and exception paths that allow AI-assisted execution to scale without losing accountability.
  4. AI-augmented delivery practice: Direct AI agents and assistants in delivery workflows — what they coordinate, what evaluation criteria apply, and where exceptions route to humans.
  5. Own end-to-end LLM, agentic AI, and cloud consumption costs—governing model selection, orchestration, token usage, and infrastructure efficiency through FinOps practices.

Skills

Required

  • Portfolio-level delivery coordination
  • Stakeholder management
  • Delivery operating model definition
  • AI agent direction and evaluation
  • LLM and agentic AI cost management
  • FinOps practices
  • Applied AI delivery budget planning
  • Financial governance
  • Coaching Delivery Managers
  • AI-native discovery and delivery methodologies
  • Evidence-gated delivery
  • Telemetry and audit trail usage
  • Policy as code
  • Immutable audit trails

Nice to have

  • Customer-centric problem-solving
  • Innovation
  • Continuous improvement
  • Visionary leadership
  • Mentorship

What the JD emphasized

  • AI-native implementations
  • AI agents
  • evidence-gated delivery
  • AI agents participate in delivery

Other signals

  • AI-augmented delivery practice
  • LLM, agentic AI, and cloud consumption costs
  • Applied AI delivery budget planning
  • AI-native implementations
  • experimenting with GenAI
  • AI agents participate in delivery