Digital - Digital Factory & Fabs - Lead Data Modeler - W/M
Air Liquide
France
il y a 35m

Digital - Digital Factory & Fabs - Lead Data Modeler - W / M

Job title Digital - Digital Factory & Fabs - Lead Data Modeler - W / M Contract Type Regular Publication date 2021-08-23 Country France

Company Presentation

World leader in gases, technologies and services for Industry and Health , Air Liquide is present in 80 countries with approximately 66,000 employees and serves more than 3,6 million customers and patients .

Oxygen, nitrogen and hydrogen are essential small molecules for l ife, matter and energy . They embody Air Liquide’s scientific territory and have been at the core of the company’s activities since its creation in 1902.

Air Liquide’s ambition is to l ead its industry, deliver long-term performance and contribute to sustainability .

Air Liquide places diversity at the heart of its activities and is committed to promoting professional equality and employment for people with disability.

Entity and Activity Presentation

The Digital Factory is the department of the Air Liquide Group's Innovation & Development Department in charge of Digital transformation.

La Digital Factory is missioned with keeping Air Liquide at the forefront of strategic areas : data, design, user research and software engineering.

This is ensured by internalizing and onboarding new Digital & IT skills while developing our footprint in digital ecosystems (e.

g. Techstars). La Digital Factory supports both the Digital Fabs and the World Business lines (WBLs) / Corporate Functions Data Officers :

  • Digital Fabs are the key partners for the WBLs and corporate functions for their respective digital roadmaps. They gather representatives from WBLs, Clusters, Digital & IT, support functions and R&D in a Fab Operational Committee to provide a holistic view on digital initiatives within the Group and govern the Proofs Of Concept (POCs) for new digital solutions.
  • They drive successful POCs for future global digital solutions, transition them to Minimum Viable Products (MVPs) and accompany the product lifecycle in alignment with the CIO organization.

  • Inside World Business Lines (WBLs) and Corporate Functions, the Data Officers implement the global data strategy, with the objective to make data a core asset.
  • They steer data value creation, define data domains, own the data roadmap and deploy new roles in the WBLs, corporate functions, hubs and clusters responsible for data quality, alignment of data models , replication of use cases and adoption of data platforms.

    Inside La Digital Factory, the Head of Data Governance & Security is responsible for establishing and maintaining visibility, trust, confidence and compliance in Air Liquide Group’s data through the development and implementation of an enterprise-wide data governance program and strategy.

    The Data Business Architect will report to him.

    Context

    The Data Platforms managed by GDO (Global Data Operator) contain all the data, as well as all the transformations and modeling necessary to create value through the different use cases built for our businesses (dashboards, data science, apps.

  • This data is a very important source of value for the Group. One of the Data Program’s objectives is to make this data increasingly accessible to the organization through a catalog, analysis tools, common Core data models and meta-data (attributes) that enable the data to be characterized, while maintaining the right level of security.
  • This Data strategy was launched for several years and is getting strong momentum : more than 12 WBL and Corp functions data officers were nominated and they identified 70+ Data Domains Managers in charge of defining the expected data structure in Core Data Models .

    More than 60 Core Data Models are currently being defined and implemented in Data Platforms. Hundreds of Local data owners are being identified to work on data quality and security.

    To accompany and strengthen this Core Data Model definition and deployment effort, a Data Business Architect position is created.

    Missions and Responsibilities

    The Lead Data Modeler is the design authority for the Core Data Models of the Group. She / he is responsible for :

  • Define and communicate Core Data Model methodological framework : Define or update the methodologies, guidelines, process, standards, templates, and supporting tooling to define and maintain the Core Data Models (in WBL / Corporate Functions) and locally Extended Data Models (in Hubs / Clusters).
  • Animate a Data Modeling community of practice.

  • Design authority : When Data Officers, Data Domains Managers or Hub Data Owners create or update a Core / Extended Data Models, the Data Business Architect validates the compliance of the data model with applicable methodological framework and consistency with other existing Core Data Models.
  • Assistance to data governance stakeholders : The Data Business Architect provides assistance to Data Officers / Data Domains Managers in the definition of Core Data Models in terms of methodology, expertise and assistance by contributing during the definition of new core data models or new versions of core data models as part of business use cases.
  • Depending on the volume of activity needed to support the Data Officers / Data Domains Managers, he / she selects and onboard a portfolio of contractors to deliver this assistance, via a packaged service offering.

  • Security / Privacy needs : he / she contributes to the specification of security and compliance needs of data in Core / Extended Data Models, per Group's digital security and privacy policies.
  • The Data Business Architect plays operationally the role of Digital Solution Owner of the Data catalog / portal. He / she steers the catalog / data portal project for the Group, from the business needs specification, and its deployment in the organization.
  • He / she manages and monitors its usage and adoption and ensures that the datasets are properly documented by Data Owners.

    He / she steers the catalog s features evolutions.

  • Review alignment with Core Data Models : He / she defines and implement a method to periodically review 1 / the consistency of Core data models across data domains, 2 / between Core Data models and locally Extended data models and 3 / he / she works in close interaction with GDO’s Data Manager to define and implement a method to regularly evaluate the conformity of the data present in the data platform with the core / extended data models prescribed by the WBLs / Corporate functions.
  • He / she implements, with data governance stakeholders, regular communication on the content and completeness of the data platform (by WBL, by domain, by geography, etc.).
  • Competencies and Profile

    Must have :

  • Expertise in conceptual and logical data modeling : Entity Relationship Diagrams, UML Class Diagrams and Data Dictionary.
  • Enterprise Architect, possibly TOGAF certified (from the Open Group), Familiar with the Data Management Body of Knowledge (DMBOK, from DAMA)

  • Data or information management (data relationships, data quality standards, processes and proficiency with data analytical and quality tools).
  • Data analysis skills.
  • Nice to have :

  • Experience in creating and delivering training.
  • Interpersonal skills required

  • Leadership, analytical, doer mindset, capacity to collaborate with other specialists and experts, solution driven, consensus builder, at ease communicating in an international environment, team player
  • Excellent facilitation, influencing and negotiation skills, including the ability to gain consensus.
  • Demonstrated analytical, problem solving and research skills that facilitate working on problems that are complex and often unique.
  • Initiative and ability to use technical knowledge to identify and address key issues, and determine resolution strategies aligned to business needs.
  • Excellent verbal, written and presentation skills, with the ability to understand and translate abstract concepts and ideas, and communicate in both a business and technical context to non-technical audiences at all levels of the organization.
  • The Lead Data Modeler interacts with many actors :

  • Data governance business stakeholders, including Data Officers, Data Domains Managers, Data Owner, and other business stakeholders involved in the definition of Core / Extended Data Models,
  • Other teams of La Digital Factory (data, design, user research and software teams) for project scoping, launching running, steering and learning;
  • GDO teams, and in particular with GDO’s Data Manager, in charge of the compliance of technical implementations of Core Data Models in Data Platforms.
  • Digital Fabs, WBLs, Hubs et Clusters proejcts and needs alignment;
  • Languages required

  • Fluent english required
  • French : nice to have
  • The mission takes place in the premises of La Digital Factory, in the heart of the 11th arrondissement of Paris. Travel to other sites is possible, depending on the evolution of sanitary situation.

    Additional information

    Location : France / Ile de France / 75-Paris

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