Sr Manager, Lead Delivery Leader

Overview

As a Delivery Leader, you are a senior member of the Delivery capability accountable for portfolio-level coordination across products, functions, stakeholders, and large initiatives orchestrating execution across many moving parts does not coordinate itself. Delivery Leaders own orchestration of stakeholder alignment at enterprise scale, dependency management on programs spanning multiple products and functions, and judgment about how to sequence work when constraints conflict.

With a strong focus on operational excellence, customer-centric problem-solving, innovation, and continuous improvement, you will guide teams to achieve peak performance and deliver high-quality outcomes on time and within budget. The ideal candidate is a visionary leader and mentor committed to driving success for Deloitte's clients and business investments.

• 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.
• 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.
• 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.
• 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.
• Own end-to-end LLM, agentic AI, and cloud consumption costs-governing model selection, orchestration, token usage, and infrastructure efficiency through Fin Ops practices.
• Drive Applied AI delivery budget planning, forecasting, and tracking aligned to ROI targets, enforcing financial governance and surfacing cost‑saving opportunities within defined guardrails.
• Capability stewardship:
  Coach Delivery Managers in your portfolio. Develop the senior coordination talent the organization needs.

• Strategic Vision and Alignment: Lead large-scale, AI-native implementations and ensure each program delivers the outcome its charter promised, right-sizing program structures to scale and partnering with Product, Engineering, Architecture, and Experience leaders to hold the strategic line.
• Evangelism: Inspire teams and educate the organization on product engineering models, actively experimenting with GenAI so the discovery and delivery practices you advocate stay current.
• Craft Mastery and Objectives Realization: Drive evidence-gated delivery - work advances when deployed evidence confirms intended behavior, not at a sprint boundary - and define the standards, evaluation criteria, and exception handling by which AI agents participate in delivery, using telemetry and audit trails for quality and KPI tracking.
• Capability Evolution and Development: Coach and calibrate Delivery Managers, building their fluency in AI-native discovery and delivery methodologies and growing the Delivery community of practice.
• Operational Excellence: Run alignment cadence at the level the work demands, and embed continuous, evidence-backed governance in the pipeline (policy as code, telemetry, immutable audit trails) rather than periodic gates - carrying programs through operate with durable accountability.
• Customer‑Centric Problem Solving: Anchor teams to the charter outcome, treating "deployed evidence confirms intended behavior" as the real definition of done, and carry initiatives into adoption so value lands in the customer's hands.
• Expert Proficiency and Continuous Improvement: Keep the engineering model lean by governing intake of AI-generated artifacts so they become productive inputs rather than noise, defining how AI agents operate in workflows, and using evidence gates to cut work that isn't earning its place.
• Communication: Reconcile conflicting stakeholder and AI-drafted artifacts on the same initiative, run the forums where…