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Accenture

Advises businesses and runs their technology

AI & Data Manager - Automotive & Products

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timePrague, CzechiaNo salary listed

About the Job

Requirements

  • A university degree, ideally a master's degree or higher, in a field such as computer science, mathematics, statistics, physics, technical disciplines, or economics.
  • Proven work experience and strong domain expertise in automotive or the broader Products industry.
  • Experience leading AI & Data, digital, or technology delivery projects at management level, including delivery, team, budget, and client responsibilities.
  • Demonstrated business development experience, including identifying and shaping opportunities, preparing proposals, managing a pipeline, and maintaining client relationships.
  • Knowledge of at least one framework such as LangChain, LlamaIndex, AutoGen, or CrewAI, and familiarity with OpenAI, Gemini, Claude, and open-source models.
  • Ability to communicate with stakeholders at all levels and explain technical topics simply.
  • Fluent English and either Czech or Slovak.

Responsibilities

  • Lead end-to-end delivery of AI & Data projects, including generative AI, agentic AI, or traditional machine learning, for automotive and Products clients, from use case definition and architecture through production deployment and scaling.
  • Actively develop the opportunity pipeline by identifying and shaping opportunities, preparing proposals, effort estimates, teaming models, and value cases.
  • Translate automotive clients’ needs into technical designs, backlogs, roadmaps, and integration steps across product development, engineering, supply chain, manufacturing, quality, sales, aftersales, and customer experience.
  • Build relationships with key client stakeholders, from business owners to C-level executives, and position Accenture as a trusted AI & Data partner.

Desired Qualifications

  • Experience with cloud technologies such as Azure, AWS, or GCP, and platforms such as Databricks, Snowflake, or similar technologies.
  • Knowledge of automotive processes and systems such as PLM, ERP, MES/MOM, CRM, dealer management, warranty, telematics, or IoT platforms.
  • Practical experience with AI use cases in engineering, supply chain, manufacturing, quality, predictive maintenance, warranty, sales, aftersales, or customer experience.
  • Experience with Docker and deployment fundamentals such as CI/CD or Kubernetes.
  • Knowledge of SQL and NoSQL databases and data pipelines, including ETL/ELT.
  • Practical experience evaluating and monitoring generative AI, including test sets, metrics, and observability.
  • Cloud, data, AI, or architecture certifications.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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