Sr Manager, Lead Delivery Leader

About the role

The role of Delivery Leader at Deloitte involves orchestrating execution across multiple product teams, service lines, and enterprise functions. This includes holding the cross-team view necessary for effective coordination and managing dependencies across products and platforms.

Responsibilities

• Lead large-scale, AI-native implementations ensuring 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.

• Evangelize product engineering models, actively experimenting with GenAI to keep practices current, and inspire teams to adopt these models.

• Drive evidence-gated delivery, defining standards, evaluation criteria, and exception handling by which AI agents participate in delivery, using telemetry and audit trails for quality and KPI tracking.

• Coach and calibrate Delivery Managers, building their fluency in AI-native discovery and delivery methodologies, and grow the Delivery community of practice.

• Run alignment cadence at the level the work demands, embedding continuous, evidence-backed governance in the pipeline, and using audit trails as primary risk controls to surface issues early and decide contingencies before they become incidents.

• Engage stakeholders across Product, Experience, and Engineering, govern AI-generated artifact intake as a partnership, and model senior Delivery behaviors such as judgment under uncertainty, stakeholder steadiness, and evidence orientation.

Requirements

• Experience: 15+ years of progressive delivery leadership experience in product engineering, enterprise technology, or management consulting environments. Direct experience with both Agile/Lean operating models and emerging intent-driven, evidence-gated delivery patterns. Strong expertise in AI/Cloud FinOps, budget management, financial forecasting, vendor management, cost optimization, and data-driven delivery governance.

• Skills: Engineering fluency, stakeholder orchestration at scale, evidence orientation, and ability to communicate effectively to inspire and influence stakeholders.

Qualifications

• Fluency in technical conversations with architects and senior engineers, comfortable challenging feasibility claims and reasoning about trade-offs without needing translation.

• Track record of holding alignment across senior internal stakeholders with competing priorities.

• Comfortable measuring delivery by outcome validation rather than velocity proxies.

• Fluent with current GenAI assistants and agentic delivery tooling, able to direct AI output and design where AI agents fit in delivery workflows and where humans must remain in the loop.

• Excellent communication skills to inspire and influence stakeholders, serving as the contact for value achievement and collaborating with product engineering teams, facilitating co-creation workshops to foster alignment and decision-making.