Jobs · Louisiana

Sr Manager, Lead Delivery Leader

Deloitte · New Orleans, LA · Yesterday
Hybrid$125k–$256k/yrFull-time

About the role

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.

Recruiting for this role ends on 31 August, 2026.

Responsibilities

You will own portfolio-level delivery coordination, orchestrating execution across multiple product teams, service lines, and enterprise functions. You will also be responsible for stakeholder orchestration, holding the relationship with internal Deloitte stakeholders at the program level, service line leaders, function heads, platform owners, and reconciling cross-stakeholder inconsistencies that show up at scale.

Your key responsibilities will include:

  • Strategic Vision and Alignment: Lead large-scale, AI-native implementations and ensure each program delivers the outcome its charter promised.
  • Evangelism: Inspire teams and educate the organization on product engineering models, actively experimenting with GenAI.
  • Craft Mastery and Objectives Realization: Drive evidence-gated delivery and define the standards, evaluation criteria, and exception handling by which AI agents participate in delivery.
  • Capability Evolution and Development: Coach and calibrate Delivery Managers, building their fluency in AI-native discovery and delivery methodologies.
  • Operational Excellence: Run alignment cadence at the level the work demands, and embed continuous, evidence-backed governance in the pipeline.
  • Customer-Centric Problem Solving: Anchor teams to the charter outcome, treating "deployed evidence confirms intended behavior" as the real definition of done.
  • Expert Proficiency and Continuous Improvement: Keep the engineering model lean by governing intake of AI-generated artifacts.
  • Communication: Reconcile conflicting stakeholder and AI-drafted artifacts on the same initiative, run the forums where alignment happens, and escalate deliberately.
  • Delivery Risk Management: Manage dependencies across products and platforms, using evidence-gated cycles, continuous governance, and audit trails as the primary risk controls.
  • Organizational Engagement and Collaboration: Engage stakeholders across Product, Experience, and Engineering, govern AI-generated artifact intake as a partnership, and model senior Delivery behaviors.

Requirements

The ideal candidate will have 15+ years of progressive delivery leadership experience in product engineering, enterprise technology, or management consulting environments, with a demonstrated track record leading large, cross-functional programs.

Required skills include:

  • Engineering fluency: Comfortable in technical conversations with architects and senior engineers.
  • Stakeholder orchestration at scale: Track record of holding alignment across senior internal stakeholders with competing priorities.
  • Evidence orientation: Comfortable measuring delivery by outcome validation rather than velocity proxies.
  • AI-augmented working practice: Fluent with current GenAI assistants and agentic delivery tooling.
  • Communication: Exhibit excellent communication skills to inspire and influence stakeholders.

Qualifications

The ideal candidate will have experience working in a product-staffed model where durable product teams stay with their products across build, deploy, operate, and evolve, as well as strong expertise in AI/Cloud FinOps, budget management, financial forecasting, vendor management, cost optimization, and data-driven delivery governance.

Prior experience coaching Delivery Managers or Program Managers is also required, as well as the ability to travel 10% on average.

Benefits

You may be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including individual and organizational performance.

Pay

A reasonable estimate of the current range is $124,600 to $255,900.

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