Delivery Manager, AI products

About the role

As a Delivery Manager in Deloitte's Product Engineering organization, you hold program-level execution accountable on a day-to-day basis for one or more product teams operating against a shared set of intents. Delivery operates inside an intent-driven development model with three concurrent layers—governance, execution, and learning—that run simultaneously. Execution advances in evidence-gated dashes, not sprints. The role focuses on judgment work: cross-team coordination, stakeholder alignment, dependency management, and maintaining the operational discipline that keeps evidence-gated delivery on track.

Responsibilities

• Program-level coordination for one significant initiative or a set of related programs.
• Ensure dashes start when slices are ready and end when deployed evidence confirms the intended behavior shifted.
• Day-to-day stakeholder orchestration, including reconciliation of AI-drafted artifacts when stakeholders arrive with their own briefs.
• Drive cost-efficient adoption of LLM, agentic AI, and cloud platforms through effective governance, FinOps practices, and consumption optimization.
• Maintain operational integrity of the evidence-gated cycle: proof signals being read, harm watches honored, and exit gates respected before slices expand.
• Deliver the right customer and business outcomes by engaging product teams on structure, skills, leverage models, and measurement.
• Champion fit-for-context delivery methodologies and work with Product Managers to drive priorities and execution.
• Surface coordination friction before it becomes a blocker, escalating to the Delivery Leader when necessary.
• Foster delivery excellence through quality processes, program value delivery, and team growth, including coaching junior professionals.
• Experiment with new tools like GenAI and support the AI Workflow Orchestrator on your program.
• Communicate status accurately and inspire stakeholders, serving as the contact for value achievement across product engineering teams.
• Facilitate co-creation workshops and drive decisions when stakeholders disagree by surfacing trade-offs and recommending paths.
• Maintain a live picture of dependencies across product teams and platform services, managing conflict and fostering collaboration.
• Apply deep SDLC expertise with continuous planning and refinement, watching for drift between intent and execution.
• Drive lean solutions through rapid experimentation, engaging customers before, during, and after delivery.
• Build inclusive, engaged teams; remove obstacles; and improve satisfaction and reduce attrition.
• Govern the intake of AI-drafted artifacts to ensure they become productive inputs, not noise.
• Report on financials, innovation, and engagement, driving efficiency and productivity.
• Engage stakeholders at all levels and foster a culture of co-creation.
• Rapidly acquire domain-specific knowledge and navigate enterprise functions to drive product value and organizational alignment.

Qualifications

• 10+ years of delivery management with direct experience leading a cross-functional program or set of programs with meaningful dependencies and multiple stakeholders.
• Experience operating inside an Agile or Lean model and demonstrated readiness to operate inside intent-driven, evidence-gated delivery patterns.
• Experience working in a product-staffed model where durable product teams stay with their products across build, deploy, operate, and evolve.
• Strong expertise in AI/Cloud FinOps, budget management, financial forecasting, vendor management, cost optimization, and data-driven delivery governance.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
• Candidates must be located within a commutable distance to one of the select locations available for this role.
• Ability to work in your local office at a minimum of 3 days per week.

Skills

• Coordination at scale: Track record of managing dependencies, surfacing risks, and driving alignment across teams that do not naturally talk to each other.
• Engineering fluency: Able to follow technical conversations, ask useful questions, and challenge feasibility claims constructively.
• Evidence orientation: Comfortable measuring delivery by outcome validation rather than velocity proxies. Able to hold the line on evidence gates.
• AI-augmented working practice: Fluent with current GenAI assistants and agentic delivery tooling. Able to direct AI output for status, risk, and coordination tasks.
• Specification literacy: Able to read and reason about charter, persona, intent, constitution, and blueprint artifacts and understand how a program is governed through them.
• Communication: Writes clearly. Presents to senior stakeholders without over-formatting. Tells the truth about status, including bad news, without varnish.

About the team

US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value and outcomes. It leverages a progressive and responsive talent structure across a four-capability matrix: Product, Experience, Engineering, and Delivery. As Deloitte's primary product development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results. The team develops and deploys cutting-edge go-to-market solutions that help Deloitte operate effectively and lead in the market.

Pay

A reasonable estimate of the current range is $107,700 to $221,200. The wage range considers factors such as skill sets, experience, training, licensure, certifications, and other business and organizational needs. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, where an award depends on various factors, including individual and organizational performance.