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Enterprise Data Architect

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Datum: 14-sep-2022

Plaats: WAREGEM, BE, 8790

Bedrijf: TVH Group

 

 

Enterprise Data Architect 

Function

As an Enterprise Data Architect you will lead and drive the build of the data architecture and data modeling standards within a new application landscape at TVH. By designing the best fit architecture that supports the TVH business vision you also coordinate, guide and advise on the implementation road map.

Your responsibilities will be:

  • Build data reference frameworks strategy that can be used as guidance for the different (master) data domains, having a good end-to-end view on the data flows on a global level. 
  • Create new data models and flows to meet requirements from the different end-to-end streams, based on the set data reference frameworks strategy. 
  • Transform as-is data models and flows into new and improved models based on requirements defined by different end-to-end global process owners, in line with the framework strategy. Ensure continuous improvement after installment of new/improved models. 
  • Support in technology solution selection and lead the set-up and implementation of Data management platforms (eg. Data catalogs, DQ tools, MDM Hub,…) in order to practise the data models and flows.
  • Enable effective data and analytics governance: Suggest who can take which actions with which information, and under which circumstances. Assist data and analytics leaders, business and IT leadership in developing information governance processes and structures.
  • Decide on information strategy in line with the data management strategy: You will partner with business & IT leadership and provide strategic recommendations to maximize the value of information assets within their lifecycle.
  • Manage risk: you aid in the definition of data classifications and data zoning to allow information assets to be immediately identified and proactively managed as more information becomes federated in a digital economy.
  • Improve EIM performance
  • Coordinate and advise key stakeholders on data modeling standards

Profile

  • Desired education level: Master degree (computer science, commercial engineering or related field) or equivalent by experience 
  • Desired years of experience: min. 5 to 8 years of relevant experience in business & data architecture 
  • Knowledge: 
  • Data architecture & data management processes 
  • Designing and defining roadmaps on strategical, tactical and operational level, with a clear long-term (“bigger picture”) end in mind. 
  • Experience with working in medium to large global organizations, driving key implementation/transformation data projects 
  • Experience with TOGAF is considered an added value
  • Experience with managing outsourcing partners is a big plus
  • A proven track record as a data architect  
  • Excellent collaboration skills & able to engage with multiple business, technical stakeholders (both internal and external) and senior management
  • Excellent communication-, people- & stakeholder management skills 
  • Ability to work autonomously and make critical decisions 
  • Unbiased towards specific technologies or vendors 
  • Passionate about data management processes

Offer

  • An exciting position in an international company with a family atmosphere where people are at the centre.
  • You are part of a dynamic team, where initiative and entrepreneurship are valued.
  • You arrive in an innovative, progressive and technical environment.
  • Numerous opportunities for personal development, among other things through permanent guidance and professional (internal/external) training courses.
  • A flexible work arrangement including homework providing a good balance between work and private life.
  • An attractive salary package with extra legal benefits such as a company car, group and hospitalization insurance, luncheon vouchers, corporate restaurant ...

Meer info of vragen?

 

Neem gerust contact op via jobs@tvh.com of +32 56 43 42 84.

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Banensegment: Data Architect, Developer, Data Modeler, Computer Science, Data Management, Data, Technology