AI Data Management Senior Consultant

Capgemini is a global business and technology transformation partner helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340000 team members in more than 50 countries. With its strong over 55-year heritage Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering all fueled by its market leading capabilities in AI generative AI cloud and data combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of 22.1 billion.

Were looking for a passionate and experienced AI Data Management Senior Consultant to join our vibrant team! As an AI Data Management Senior Consultant you will help organizations build modern scalable and governed data foundations that enable advanced analytics Machine Learning Generative AI and enterprise AI initiatives. You will act as a trusted advisor leading data modernization governance and AI-ready data platform transformations across enterprise environments.

• Lead data management and modernization engagements including data strategy governance and roadmap development.
• Design AI-ready data architectures supporting analytics Machine Learning Generative AI and enterprise AI use cases.
• Implement modern data platforms lakehouse architectures ETL/ELT pipelines and data integration solutions.
• Establish data governance metadata management data quality lineage cataloging and master data management practices.
• Enable trusted secure and compliant data ecosystems for AI analytics and digital transformation initiatives.
• Collaborate with business data AI cloud and security teams to deliver scalable data solutions.
• Conduct client workshops assessments architecture reviews and executive presentations.
• Support pre-sales activities solution development proposals and mentor junior consultants.

• Bachelors degree in Computer Science Information Technology Data Science Engineering or a related field.
• Minimum 810 years of experience in Data Management Data Engineering Data Architecture Analytics or Consulting roles.
• Outstanding English communication both verbal and non-verbal.
• Strong expertise in Data Governance Metadata Management Data Lineage Data Cataloging MDM and Data Quality Management.
• Experience with modern data platforms and technologies including Hadoop Spark Kafka Snowflake BigQuery Redshift and Databricks.
• Strong experience implementing ETL/ELT processes batch and streaming data pipelines and cloud-native data solutions.
• Knowledge of AI and GenAI data architectures including LLMs RAG Vector Databases Embeddings and AI Data Pipelines.
• Proficiency in Python SQL and data visualization tools such as Power BI and Tableau.
• Experience with cloud platforms including Microsoft Azure AWS and Google Cloud Platform.
• Excellent communication stakeholder management presentation and consulting skills.