Accenture España
3 days ago
Enterprise AI Value Strategy Manager
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Company information
- Company
- Accenture España
- Location
- España, Comunidad de Madrid, Madrid, Madrid Spain
- Posted
- 3 days ago
Job description
As an Enterprise AI Value Strategist, you will join our Global AI & Data Strategy Consulting team, specialized in Supply Chain & Engineering (SC&E), you advise clients on how to create and capture value from AI and data. You define enterprise, industry-specific and function-specific AI and data strategy, develop value cases and roadmaps, shape AI and data operating models and platform strategy, embed Responsible AI, and lead tech-driven transformations. You translate complex data into actionable insights, engaging senior client stakeholders, leading workstreams and large-scale delivery, and tying AI initiatives to measurable business outcomes. Key Responsibilities;
- Shape vision and create opportunities for data & AI led business reinvention.
- Define and structure an organization’s data and AI strategy to build and optimize data assets and AI technologies for growth & competitive advantages.
- Assess maturity of an organization's AI and data foundation. Define building blocks required to convert to an AI-first organization, including technology and AI platform blueprint, data strategy and future-ready operating model.
- Create the business case, investment profile and roadmap to deliver on the strategy.
- Infuse Responsible AI in vision and roadmap, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.
- Identify people, processes and technologies to develop and operationalize AI solutions.
- Create strategy for AI-first products and develop commercialization opportunities.
- Experience — including solutioning, designing, or delivering AI & Data projects
- High-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead workstreams and meet deadlines or relevant industry / functional experience
- Experience in managing senior stakeholders
- Engineering problem-solver mindset — ability to apply technology creatively to complex business problems
- Strong program management and verbal and written communication skills
- Driven and entrepreneurial: ability to originate and shape new deals and lead go-to-market activities
- Excellent leadership and people skills: proven ability to build effective teams, foster collaboration and inclusion, and build strong relationships with stakeholders / clients
- Modern AI capabilities:
- Basic understanding of Machine Learning, Generative AI and Agentic AI concepts.
- Familiarity with LLMs, RAG, prompt engineering, RAG or AI assistants through academic, personal or project experience.
- Interest in enterprise AI adoption and business applications.
- Willingness to continuously learn new AI technologies and methodologies.
- Familiarity with MLOps, LLMOps and AI industrialization concepts is a plus.
- Technical skills: Python, SQL, SAP, Spark, Databricks, Palantir, AWS, Azure (AI), Neo4j, MLflow, Airflow, LangChain/Semantic Kernel
- Applicants must be fluent in Spanish & English, both written and spoken
- Bachelor's degree in Engineering, Computer Science, Data Science, AI, Mathematics, Business, or a related field.
- Cutting-edge AI transformation projects in Supply Chain & Operations.
- Career growth opportunities in a specialized consulting practice.
- Training programs and certifications in Data & AI.
- Flexible work arrangements and competitive benefits package.
Required skills
- databricks
- english
- engineering
- consulting
- supply chain
- sap
- generative ai
- sql
- ai
- python
- aws
- prompt engineering
- airflow
- spark
- machine learning
- data science
- bachelor's degree
- business
- computer science
- data strategy
- spanish
- rag
- mathematics
- agentic ai
- llms
- mlflow
- mlops
- business transformation
- langchain
- azure ai
- ai assistants
- semantic kernel
- palantir
- llmops
- neo4j
- value strategy
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