Supply Chain Data Strategy Manager at Accenture

Madrid, Community of Madrid, Spain

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Consulting, Technology, Supply ChainIndustries

Requirements

7–8 years of experience in Data & AI strategy, ideally with exposure to Supply Chain & Operations or related domains
Hands-on technical expertise in building AI solutions, including programming (Python), Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), multi-agent orchestration, and knowledge graph design and integration
Background in consulting or industry, with proven ability to deliver AI-driven transformation and measurable business impact
Strong understanding of AI solution lifecycle, including architecture, deployment, and governance for scalable agentic AI systems
Ability to engage senior stakeholders, influence decisions, and translate complex technical concepts into business value
Experience developing business cases and KPIs, aligning technical solutions with strategic objectives
Analytical and problem-solving mindset, capable of designing innovative solutions and ensuring reliability and security
Excellent communication and presentation skills, simplifying complexity for diverse audiences
Leadership and mentoring experience, fostering technical growth and innovation within the team
Adaptability and collaboration in global, fast-paced, multidisciplinary environments
Proficiency in English (required)

Responsibilities

Lead end-to-end AI solution delivery, from opportunity identification and strategy design to building, deploying, and scaling agentic AI platforms and autonomous agents
Architect and implement agentic AI systems, including multi-agent orchestration, prompt engineering, knowledge graph integration, and secure deployment
Define and execute Data & AI strategies for Supply Chain & Operations transformation, driving efficiency, resilience, and innovation through advanced AI technologies
Act as a technical and strategic leader, bridging business objectives with cutting-edge AI engineering, ensuring alignment and measurable impact
Design robust data foundations and governance models, enabling interoperability, data quality, and compliance for scalable AI solutions
Develop business cases and value frameworks, quantifying impact, defining KPIs, and supporting executive alignment and adoption
Drive innovation and productization, creating reusable AI components, agent libraries, and frameworks for client and internal use
Support business development, contributing to go-to-market strategies, client engagement, and proposal creation for AI-driven offerings
Mentor and upskill team members, fostering expertise in agentic AI, prompt engineering, and advanced AI architectures

Skills

AI Strategy

Agentic AI

Multi-Agent Orchestration

Prompt Engineering

Knowledge Graphs

Supply Chain

Operations

Data Strategy

AI Platforms

AI Deployment

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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