AI-Driven Tech Delivery Lead — Chemicals & Natural Resources

Accenture; Columbus (OH); On-site; USD 123,000 - 242,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Job summary

Accenture in the United States is seeking a Technology Delivery Senior Manager for Managed Reinvention Services to own end-to-end delivery across multi-tower accounts. You will design AI-first delivery models, steer cost takeout, and lead teams combining AI agents with human SREs.

The role requires leadership of client relationships at CIO/CTO level, modernization within run models, and shaping competitive bids with strong operating model depth.

Qualifications

• 8+ years in technology delivery with P&L ownership over large-scale managed services.
• 3+ years designing or operating AI-driven delivery models (AIOps, GenAI ITSM).
• 8+ years of multi-tower delivery across AMS/IMS/Security/Data & AI/Cloud.
• 5+ years engaging CIOs/CTOs on managed services strategy and roadmaps.

Responsibilities

• Own end-to-end delivery accountability across multi-tower managed services and drive business results.
• Architect AI-first delivery models and implement agentic operations using platform capabilities.
• Shift Run spend toward Reinvention capital and drive cost takeout and throughput gains.
• Lead workforce transition to agentic operations with AI agent fleets and humans.
• Build deep client relationships with CIOs and senior IT leadership to expand engagement.
• Embed modernization and resilience as ongoing deliverables within managed services.

Skills

P&L ownership

Technology delivery

CIO/CTO engagement

AI-driven delivery models

Team leadership

Multi-tower delivery

Education

Bachelor's degree or equivalent

Tools

GenWizard

Reinvention.AI platform

Job description

Accenture in the United States is seeking a Technology Delivery Senior Manager for Managed Reinvention Services to own end-to-end delivery across multi-tower accounts. You will design AI-first delivery models, steer cost takeout, and lead teams combining AI agents with human SREs.

The role requires leadership of client relationships at CIO/CTO level, modernization within run models, and shaping competitive bids with strong operating model depth.