Jobs · Virginia

Sr Manager, Lead Delivery Leader

Deloitte · Richmond, VA · Yesterday
Hybrid$125k–$256k/yrFull-time

About the role

The role of Delivery Leader at Deloitte involves coordinating portfolio-level delivery across multiple product teams, service lines, and enterprise functions. This includes orchestrating execution, stakeholder orchestration, and owning the delivery operating model. The ideal candidate is a visionary leader committed to driving success for Deloitte's clients and business investments.

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 delivery practices current.

  • Drive evidence-gated delivery, setting standards, evaluation criteria, and exception handling for AI agents 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 growing the Delivery community of practice.

  • Run alignment cadence at the level the work demands, embedding continuous, evidence-backed governance in the pipeline (policy as code, telemetry, immutable audit trails) rather than periodic gates.

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

Qualifications

  • 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.

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