Data
Roles and responsabilities in Data & AI
Duration
1 Day
Languages
French - English
Trainer(s)
Michèle NANKAP - Lead Data Insight Astrakhan
This training presents in detail all the stakeholders involved in the data value chain. From its identification to its collection, preparation, analysis and visual representation, the data follows a path during which several interlocutors take part and take turns to produce a reliable and interpretable result.
These interventions describe processes that can be represented, in clearly identified organizational elements: Data Lab, Data Factory, etc. This training presents all these mechanisms and analyzes the impact on this functioning of Artificial Intelligence as a data domain.
This course was designed for Grenoble de Management as part of the Big Data Master’s program where it has been delivered without interruption since 2014.
Target audience
- Data Teams all profiles
Prerequisites
- None
Course Delivery
On site,
in your offices
Remote,
via Teams
Podcasts
Workshops
Microlearning
Training Program
Introduction and reminders: the Data Era
Stakeholders and roles in data teams
- The Data-Centric organization:
- Definition
- Maturity Models in the Data-Centric Organization,
- Profiles, roles & responsabilities and key skills,
- Chief Data Officer,
- Data Protection Officer,
- Data Engineer, Data Architect & DataOps
- Data Analyst & Data Viz,
- Data Scientist,
- Product-Owner Data.
- Processes and articulation between these roles in a Data team and in relationships with the business,
- Workshop: creation and scalability of a Data team – in 3 iterations,
- Comparative analysis of organizations.
Organizational elements
- Data Lab: innovation, design-thinking and the promotion of uses,
- Data Factory: the factory producing the uses,
- Data Office: the Chief Data Officer’s environment.
Impacts of the emerging fields: key skills
- Artificial Intelligence, Machine Learning and Deep Learning
- Blockchain
- Robotic Process Automation
