Technology Delivery Lead - Utilities

Accenture•St. Louis, MO

6d•$138,800 - $413,600

About The Position

Accenture is hiring a Technology Delivery Senior Manager for its Managed Reinvention Services (MRS) practice. The role owns end-to-end delivery, P&L, and outcome responsibility for complex, multi-tower managed services accounts spanning application, infrastructure, security, and data and AI services. The leader will shape AI-first, agentic operating models and develop client relationships that help evolve traditional managed services into long-term reinvention partnerships. The position designs and implements agentic operations frameworks, using Accenture’s Reinvention.AI platform and GenWizard capabilities to advance clients from human-augmented operations toward greater autonomy. It also drives cost reduction, technical debt reduction, throughput gains, and the reallocation of run spending toward transformation. The role leads workforce changes, including delivery teams of AI agents and human SREs, and establishes role frameworks, governance, and escalation models for autonomous operations. As a senior technology advisor to CIOs and technology executives, the role connects delivery performance to business reinvention value and expands engagement scope. It embeds modernization, architecture simplification, and resilience engineering in ongoing managed services, and contributes delivery and operating-model expertise to competitive MRS pursuits, including solution design and commercial structuring. Travel may be required, ranging from 0 to 100% based on business and client needs.

Requirements

At least 10 years of technology delivery experience, including direct P&L ownership of large-scale application and/or infrastructure managed services accounts in complex, multi-tower environments.
At least 5 years of hands-on experience designing or operating AI-driven delivery models in production managed services, such as AIOps, agentic automation, GenAI-powered ITSM, or intelligent observability.
At least 10 years of accountability for multi-tower delivery across three or more of AMS, IMS, Security Operations, Data & AI, and Cloud Engineering.
At least 10 years of demonstrable experience in one or more of the following: designing and governing agentic or autonomous operations models; outcome- or autonomy-based commercial constructs; enterprise-scale platform engineering, self-healing infrastructure, or AI-powered SDLC; or FinOps, technology value management, or run-to-reinvention capital reallocation.
At least 5 years engaging CIOs, CTOs, and C-1 technology leaders on managed services strategy, operating model evolution, and transformation roadmaps.
At least 5 years of Resources industry Utilities experience.
Bachelor’s degree or equivalent, with at least 12 years of work experience; alternatively, an associate’s degree with at least 6 years of work experience.
Applicants for U.S. employment must have work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

Master’s degree in Computer Science, Information Systems, Engineering, Business, or a related field.
Familiarity with Accenture Reinvention.AI, GenWizard, or comparable AI-native managed services platforms such as ServiceNow AI, Dynatrace, or PagerDuty AIOps.
Resources industry experience in energy, utilities, chemicals, or other asset-intensive sectors.
Experience shaping or contributing to large managed services pursuits, including RFP responses, operating model design, and commercial negotiations.
Strong command of managed services commercial constructs, including T&M, fixed price, outcome-based, and autonomy-based pricing models.

Responsibilities

Own end-to-end delivery, P&L, and outcome accountability across complex, multi-tower managed services accounts.
Design and operationalize AI-first agentic delivery models, progressing clients along the autonomy maturity curve.
Drive cost takeout, technical debt reduction, throughput gains, and movement of client spending from run costs to funded transformation.
Lead workforce transition to agentic operations, including team design, role frameworks, governance, and escalation models.
Serve as a primary technology advisor to CIOs and senior IT leaders, building relationships and expanding engagement scope.
Embed architecture simplification, platform modernization, and resilience engineering in the managed services run model.
Contribute delivery expertise to MRS pursuits, including solution design, commercial structuring, and value proposition development.