> Markdown version of [/jobs/ext/3005212-technology-delivery-senior-manager-chemicals-natural-resources](https://www.wearedevelopers.com/jobs/ext/3005212-technology-delivery-senior-manager-chemicals-natural-resources). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technology Delivery Senior Manager - Chemicals/Natural Resources - **Company:** Accenture - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $132,500.0 - $302,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Engineering, Cyber Security, Information Systems, Systems Development Life Cycle, Information Technology, Dynatrace, Pagerduty, Servicenow - **Published:** September 19, 2026 - **Apply:** https://dejobs.org/x/x/D78CDF8F7CEF4569967C41B81B7C32A9/job/ ## About the Role * Minimum of 8 years of technology delivery experience, including direct P&L ownership of large-scale application and/or infrastructure managed services accounts across complex, multi-tower environments * Minimum of 3 years of hands-on experience designing or operating AI-driven delivery models - including AIOps, agentic automation, GenAI-powered ITSM, or intelligent observability in production managed services contexts * Minimum of 8 years of demonstrated accountability for multi-tower delivery across three or more of the following: AMS, IMS, Security Operations, Data & AI, Cloud Engineering * Minimum of 8 years of Demonstrable experience with one or more of the following: * Designing and governing agentic or autonomous operations models (fleet orchestration, SRE frameworks, L1-L5 autonomy progression) * Outcome-based or autonomy-based commercial constructs (XLAs, shared savings, value-linked pricing) * Platform engineering, self-healing infrastructure, or AI-powered SDLC at enterprise scale * FinOps, tech value management, or run-to-reinvention capital reallocation * Minimum of 5 years of proven track record engaging CIOs, CTOs, and C-1 technology leaders on managed services strategy, operating model evolution, and transformation roadmaps * Minimum of 5 years of Industry ( CNR) and manufacturing expertise * Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate's Degree, must have equivalent minimum 6-year work experience, * You have a Master's degree in Computer Science, Information Systems, Engineering, Business, or a related field * You have familiarity with Accenture's Reinvention.AI platform, GenWizard, or comparable AI-native managed services platforms (e.g., ServiceNow AI, Dynatrace, PagerDuty AIOps) * You have Industry experience in Resources e.g., Energy, Utilities, Chemicals, or other asset-intensive sectors where tech economics transformation is a strategic CIO priority * You have experience shaping or contributing to large managed services pursuits, including RFP responses, operating model design, and commercial negotiations * You have strong command of managed services commercial constructs - T&M, fixed price, outcome-based, and autonomy-based pricing models; experience structuring and re-baselining contracts ## Related Videos - [AI in Leadership: How Technology is Reshaping Executive Roles](https://www.wearedevelopers.com/videos/1705-ai-in-leadership-how-technology-is-reshaping-executive-roles) - [AI and Agility: The Dynamic Duo for Disruption](https://www.wearedevelopers.com/videos/2081-ai-and-agility-the-dynamic-duo-for-disruption) - [Applying Agile Principles to Incident Management ](https://www.wearedevelopers.com/videos/101-applying-agile-principles-to-incident-management) - [The Power of Purpose: Unlocking Potential and Innovation](https://www.wearedevelopers.com/videos/1110-the-power-of-purpose-unlocking-potential-and-innovation) - [The AI-Native Software Team: How Agents Are Rewriting the SDLC](https://www.wearedevelopers.com/videos/100263-the-ai-native-software-team-how-agents-are-rewriting-the-sdlc) - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [6 Emerging Technologies We’ll Learn About in 2025](https://www.wearedevelopers.com/magazine/381-6-emerging-technologies-we-ll-learn-about-in-2025) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)