Enterprise AI Value Strategy Analyst
Quick Summary
YOU ARE As an Enterprise AI Value Strategy Analyst, you will to join our Global AI & Data Strategy Consulting team, specialized in Supply Chain & Engineering (SC&E).You help define enterprise,
As an Enterprise AI Value Strategy Analyst, you will to join our Global AI & Data Strategy Consulting team, specialized in Supply Chain & Engineering (SC&E).You help 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 translating complex data into actionable insights, engaging senior client stakeholders, leading workstreams and large-scale delivery, and tying AI initiatives to measurable business outcomes.
Responsibilities
~1 min read- →Be part of the team to help
- →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 with AI & data strategy
- 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 help originate and shape new deals and go-to-market activities
- Excellent leadership and people and relationship building skills
- 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.
What We Offer
~1 min readVisit us at www.accenture.com
Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.
Location & Eligibility
Listing Details
- Posted
- September 21, 2026
- First seen
- September 27, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- September 27, 2026
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