An auditor is a professional who examines and evaluates an organization’s financial records, statements, and processes to ensure accuracy, compliance, and transparency. Auditors verify that financial reports reflect the true financial position, identify errors or discrepancies, and assess internal controls to prevent fraud. They can work internally, within the company they audit, or externally, as part of independent audit firms serving multiple clients. Auditors are essential in maintaining trust between businesses, investors, regulators, and the public by providing objective assessments of financial health and operational integrity. Their work often follows established standards, such as Generally Accepted Accounting Principles (GAAP) or International Financial Reporting Standards (IFRS), ensuring consistency and reliability in financial reporting.
An AI consultant (artificial intelligence consultant) is a professional who helps organizations identify, design, and implement artificial intelligence solutions to improve efficiency, decision-making, and innovation. They analyze business processes, assess data readiness, and recommend the most suitable AI technologies such as machine learning, natural language processing, or automation to solve specific challenges. AI consultants often bridge the gap between technical teams and business leaders, ensuring that AI strategies align with organizational goals and deliver measurable value. Their work includes feasibility studies, model development, system integration, and change management. By guiding companies through the complex AI adoption process, an AI consultant enables smarter operations, cost savings, and competitive advantage in a rapidly evolving digital landscape.
A data manager is a professional responsible for organizing, maintaining, and safeguarding an organization’s data so it remains accurate, accessible, and secure. The role focuses on overseeing data collection, storage, validation, and usage across systems, ensuring that information supports business operations, analytics, and decision-making. Data managers define data standards, manage databases and data pipelines, enforce governance and compliance (such as GDPR or HIPAA), and coordinate with IT, analysts, and stakeholders to improve data quality and consistency.
A data scientist plays a critical role in transforming raw data into valuable insights that drive business decisions. These data experts combine advanced data analysis, data mining, and data modeling processes to uncover patterns and predict future trends. They also use data visualization tools to communicate findings clearly to non-technical stakeholders. Beyond technical know-how, strong data science skills, including programming, statistics, and machine learning, are essential. A data scientist’s responsibilities often span the entire data analytics lifecycle, from data collection to interpretation. As companies across sectors increasingly rely on data-driven strategies, demand for skilled data scientists continues to grow. This article explores the key responsibilities of the role and what it takes to succeed in this fast-evolving field.
A data engineer is a technology professional who specializes in data engineering, the discipline of designing, building, and maintaining the data systems that power modern organizations. Their main responsibility is to develop and optimize data pipelines that move information from multiple sources into databases, warehouses, or cloud platforms, ensuring it is clean, reliable, and accessible. Data engineers also manage data processing at scale, handling both real-time and batch workflows to support analytics, business intelligence, and machine learning applications. Unlike data scientists, who focus on analyzing and modeling, data engineers create the infrastructure that makes advanced analysis possible. By combining programming skills, database expertise, and knowledge of cloud computing, they enable companies to transform raw information into actionable insights. In today’s data-driven economy, the role of a data engineer is essential for organizations that need to make informed, evidence-based decisions and build scalable digital solutions.
A data architect is a technology professional responsible for the definition, design, and management of data architecture within an organization. This role ensures that data systems are structured, integrated, and optimized to support business needs. A data architect develops models and frameworks that guide how data is collected, stored, organized, and accessed securely. Their expertise in data management allows companies to handle large volumes of information efficiently while maintaining consistency, performance, and compliance. By creating scalable and reliable data architectures, they enable data scientists, analysts, and business teams to transform raw information into valuable insights. In short, the data architect is the expert who translates business goals into robust technical solutions, ensuring that all data systems work together effectively.
AREAS France, one of the leaders in concession catering in the travel world, has embarked on an ambitious cultural transformation. To meet the challenges of recruiting and retaining talent in a rapidly changing sector, and more broadly to support its "Vision 2029" transformation plan, the company has co-built with emlyon business school a vast custom program to train more than 300 managers. Professionals from a variety of backgrounds, from the Group's various sites and headquarters. Interview with Henry Mottet, HR Director of AREAS France and emlyon's custom program director.