We Are:
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 700,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
You Are: An AI Associate Director in Resources Utilities Technology Delivery Lead.
The Work:
Lead and Grow High-Performing Delivery Teams
Manage architects, engineers, analysts, and cross-functional squads across regions.
Define capability uplift strategies, hands-on AI upskilling journeys, and architecture guardrails for responsible GenAI adoption.
Provide coaching, staffing leadership, and performance management across complex engagements.
Implement AI architectures for typical Utility use cases such as reliability prediction, grid analytics, asset health insights, field service optimization, workforce augmentation, and customer engagement automation.
Lead delivery across multi-tower workstreams (e.g. AMI, CIS, OMS/DMS integrations, asset management, grid modernization, and enterprise data platforms).
Build collaborative and inclusive delivery cultures that reward experimentation and continuous improvement.
Lead Enterprise AI Delivery at Scale
Own end-to-end delivery for AI, GenAI, and agentic AI programs across cloud platforms (including Azure, Databricks, Synapse, Fabric).
Lead multi-team engineering execution across distributed, offshore, and nearshore delivery hubs.
Establish delivery governance, sprint cadence, KPI tracking, dependency management, and quality assurance.
Bring AI-first delivery patterns — rapid prototyping, autonomous testing agents, AI-accelerated development tooling — into real-world client environments.
Architect and Implement Scalable AI Solutions
Translate business requirements into actionable GenAI and agentic AI architectures.
Design multi-agent orchestration, RAG pipelines, vectorized retrieval layers, and AI-over-BI patterns.
Implement secure, compliant, and responsible AI guardrails across models, data, and workflows.
Utilize modern DevSecOps, CI/CD, IaC (Terraform), and API-first engineering to build production-ready platforms.
Drive Technology Strategy and Execution Excellence
Shape AI delivery roadmaps, sequencing of use cases, backlog structures, and value realization plans.
Engage C-suite and technology leaders as a trusted advisor on AI platform strategy, engineering tradeoffs, and architecture decisions.
Introduce engineering accelerators (Cursor, Copilot, v0.dev, AI-driven documentation/testing) to increase velocity and reduce cycle time.
Bring startup-style delivery behaviors — short-cycle validation, iterative build, rapid MVP definition — into enterprise-scale programs.
Support Pre-Sales, Solutioning, and Market Growth in Resources with a focus on Utilities
Shape proposals, architectures, and delivery models for major AI and GenAI pursuits.
Provide thought leadership, demos, and proof-of-concepts showcasing emerging AI patterns (cloud-scale and edge AI).
Partner with industry and functional teams to position AI-led reinvention within broader enterprise transformations.
Lead capability uplift programs to grow Utility-specific AI skills (e.g., grid analytics, asset intelligence, AI-enabled field operations).

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.