AI Strategy Delivery Lead – Retail - Strategy & Consulting at Accenture

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, ConsultingIndustries

Requirements

10+ years of consulting, business transformation or digital strategy experience with at least 6 years dedicated to AI/ML/data strategy or delivery roles
Proven record of leading large, complex AI/data transformation engagements with senior client sponsors and multi-million budgets
Deep understanding of generative AI, LLM technologies, agentic systems, RAG and advanced analytics, and how they map to business opportunity and operational model change
Strong business acumen with ability to link AI ambitions to value creation, cost models, risk models and operating model design
Excellent stakeholder management skills, including experience influencing at C-suite level, leading multidisciplinary teams and driving strategic decisions under ambiguity
Experience with cloud-based data and AI platforms (e.g., AWS, Azure, GCP) and knowledge of enterprise architecture, data ecosystems, AI platform components
English is required for this position as this role will regularly interact in English

Responsibilities

Architect and lead end-to-end AI transformation programmes within retail: from visioning and strategy through roadmap, business case, use-case prioritisation, value capture model, and scaling to full business operations
Engage with C-suite and senior client stakeholders to identify strategic AI opportunities, align them with business objectives, develop investment cases and define success metrics
Define and embed AI-powered operating models, governance frameworks, organisational readiness plans (people, process, technology) and change management strategies to operationalise AI at scale
Architect the solution mix, including generative AI/LLMs, retrieval-augmented workflows (RAG), agentic automation and advanced data architecture, ensuring alignment to business value and risk/privacy/ethical considerations
Estimate cost models and business viability of AI/LLM usage patterns — including licensing, cloud/compute, fine-tuning and ongoing operationalisation — and drive decisions on technology sourcing, ecosystems and vendor partnerships
Establish and manage delivery frameworks and reusable solution patterns and components for AI strategy and execution, enabling acceleration across clients and industries
Lead cross-functional teams spanning strategy, design, architecture, engineering, data science, and delivery — including mentoring, resource planning, performance management and ensuring high-quality client outcomes
Drive go-to-market efforts: contribute to proposal development, service offering definition, executive thought leadership and internal capability uplift
Manage financial oversight of AI programmes: forecasting, budgeting, commercial tracking, risk mitigation, and value realisation metrics
Ensure adherence to Responsible AI, security, data privacy, regulatory and ethical requirements in all AI strategy and delivery work

Skills

AI Strategy

Generative AI

Large Language Models

LLMs

Retrieval-Augmented Generation

RAG

Agentic Workflows

Advanced Analytics

AI Transformation

Change Management

Governance Frameworks

Data Architecture

Business Case Development

C-suite Engagement

Retail AI

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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