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Executive Data Management Certificate

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Rally business and technical teams

This Executive Data Management Certificate programme designed by NEOMA Business School and Jedha focuses on the issues of data governance and strategic data management. In the digital age, data management is a key competitive advantage for companies. Even though companies realise how valuable data is, it is still difficult to make the transition to a 100% data-driven organisation. There are several reasons for this:

  • A lack of acculturation
  • A difficulty in assessing the level of data maturity
  • The feasibility of a project or the value that data could bring

Whether for start-ups, scale-ups or large corporations, we teach all of the best practices that exist today to help companies grow using̀ data.

Five reasons to join the programme

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Learn to lead a data-driven team

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Bring a data-driven vision to an organisation

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Be able to adapt agile methods to data needs

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Benefit from NEOMA Business School and Jedha’s management and data expertise

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Master the best practices directly applicable to your company’s challenges

Stakeholders

With nearly 30 years of experience in the management of the public and private sectors, including 13 years of coaching managers and executives both individually and collectively, Christophe Fagard has developed genuine expertise in the management of complex projects and the transformation of managerial practices in VUCA environments. As these require strong and structured evolutions, he has relied on the collective and collaborative intelligence of individuals and groups. He is also involved in continuing education as an affiliated professor for schools that are members of the Conférence des Grandes Écoles.

Christophe Fagard

Affiliate professor

“Data is only valuable if it is connected to human reflection.” 

Charles Tanguy is Head of Data and Lead Instructor at Jedha. He has also participated in the development of curricula on all aspects of statistics and machine learning, his areas of expertise. Charles studied statistics at ENSAE before continuing on to HEC to gain additional expertise in management. He then worked at PayWithMyBank in San Francisco and MWM in the music sector as a Data Scientist. His missions? User profile analysis, trend prediction, preference modelling.

Charles Tanguy

Head of Data and Lead Instructor at Jedha

“7 out of 10 tech projects fail because of a lack of understanding between business and technical teams. Learning to bridge the gap between these two sides is the goal of this programme.”

Antoine Krajnc is the CEO and founder of Jedha. A graduate of Audencia Business School and UC Berkeley, Antoine worked for over 3 years as a business analyst in San Francisco and Paris. He founded his first company Evohé, which he sold in order to move to Silicon Valley. He then founded and taught the Data Analytics course at Product School, the largest product management bootcamp in the US. Back in France, he founded Jedha Bootcamp, now ranked as the #1 Data Bootcamp in Europe by Switch Up.

Antoine Krajnc

Jedha CEO & founder

“Tech jobs are evolving far too quickly: we want to educate people to be experts in a field, rather than in a given job.”

NEOMA Business School and JEDHA, a school dedicated to the Data and Tech professions and #1 data bootcamp in Europe, have joined forces to create three Data certificates: Data Management, Digital Marketing & Data and Cyber Risk Management.

Vision, best practices and real cases: you will be equipped with the keys to master data issues with the aim of managing and growing your organization securely. Enjoy an optimal training experience thanks to two excellent courses on the major issues related to Data and Management.

NEOMA Business School is Qualiopi certified under the following action categories:

  • Training actions
  • Apprenticeship training actions
  • Actions allowing the validation of acquired experience

Curriculum

This certificate is designed for consultants, project managers and product managers.

The duration and format of the course have been optimised to fit in with participants’ professional schedule: 5 days, of which 2 days are in-person in the classroom. Group work is planned throughout the course.

The challenges of data & Data Analytics

Discover the issues surrounding Big Data and Artificial Intelligence. Identify the key concepts to understand the challenges of the field. Simplify and demystify the field and analyse Data Marketing.

Data Science

Learn about Artificial Intelligence and its applications. This session will cover case studies and ethics in AI. Advance in the application of data through data science cases (Machine Learning & Deep Learning).

Apply AI

Learn to code a Machine Learning algorithm to demystify the field and focus on data quality to be able to use effective algorithms at business scale.

Data Engineering & Big Data

Discover, build and manage data infrastructures to understand the needs, teams to be involved and challenges to be faced when migrating to a data-driven organisation.

Cloud Computing

Understand the benefits of cloud computing, the possibilities of using such services and how to choose the right cloud partner.

Data Governance & Data Management

Assess data needs according to the maturity of an organisation in order to adapt projects and calibrate resources. Discuss the structuring of data teams within the group and the acculturation of non-technical teams in order to impart best practices.

Data Monetisation

Discover the main monetisation levers available to an organisation and discuss how to select them according to the growth potential of a given group.

Data Project Management

Discover the methods of data project management as well as the actors and profiles involved in its different stages, followed by a 6.5-hour workshop on a Design Thinking methodology.

Evaluation methods

Participants are assessed in the following ways:

Evaluation is conducted by the certification panel by means of practical professional situations: Participants must carry out a data project of their choice – the theme or subject of the project to be assessed is open. This may be a personal project developed by the participant in the context of his or her professional activity or may be defined by a partner company. Participants will give a 10-minute oral presentation of their project, followed by a 5-10 minutes Q&A session from the jury.

At the end of the course and after validation of the assessment, participants will be awarded the certificate for block n° 6 “Data project management” of the RNCP title N°35288 of level 6.

How to apply?

For more information on how to apply for the Executive Data Management Certificate, please contact our recruitment team.

Whether they are working, changing careers or looking for work, participants may finance all or part of the Data Management certificate (already registered in the RNCP Répertoire national des certifications professionnelles) through the CPF. The CPF may be supplemented by the employer and/or Pôle Emploi if you are a job seeker. For more information, visit moncompteformation.gouv.fr/espace-prive.

For more information, contact our international team:

Practical information

  • Format:

    2 days of in-person classes / 6 synchronous remote sessions / 1 master class

  • Duration:

    5 days - 30,5 hours

  • Tuition fees:

    €2,500 – Eligible for the Compte Personnel de Formation (CPF)

  • Campus:

    Paris, Distanciel

  • Teaching language:

    French

  • Course start date:

    March 2nd, May 25th 2023

  • Entry level:

    Accessible to candidates holding a two-year Bachelor’s degree and minimum 3 years professional experience
    Admissions also possible for candidates not holding a two-year Bachelor’s degree, by special dispensation only

  • Degree awarded:

    Certificate eligible for the CPF: Validation of skills block 2 / RNCP level 6 title / RNCP Sheet N°35288 / Data Science Designer-Developer

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Practical information

  • Practical information
    • Format:

      2 days of in-person classes / 6 synchronous remote sessions / 1 master class

    • Duration:

      5 days - 30,5 hours

    • Tuition fees:

      0€

    • Campus:

      Paris, Distanciel

    • Teaching language:

      French

    • Course start date:

      January 2023

    • Entry level:

      Accessible to candidates holding a two-year Bachelor’s degree and minimum 3 years professional experience
      Admissions also possible for candidates not holding a two-year Bachelor’s degree, by special dispensation only

    • Degree awarded:

      Certificate eligible for the CPF: Validation of skills block 2 / RNCP level 6 title / RNCP Sheet N°35288 / Data Science Designer-Developer