Volkswagen Careers – Data & Business Intelligence Architect

Job Description:

The Data & Business Intelligence (DBI) Architect is responsible for the strategy and technology of the Enterprise Data and Analytics for assigned initiatives. This role is a senior position that works as a member of a team of data management professionals, under the direct leadership of the Senior Manager of Data Architecture. As the DBI Architect, the person will be expected to provide forward thinking to the Americas Enterprise Data Hub and solidify this asset as one that provides high business value, flexibility, and usability for all business areas.

This person will also be responsible to ensure other architects (project-based) will understand and follow the corporate direction. This will also involve playing a key role in other markets throughout Region Americas IT, as this role will design big data and analytics solutions that affect all countries in the region to drive synergies and push for common platforms. The role will have a broad span of influence throughout the VW Group.

Job Responsibilities:

  • Provides business project support by ensuring project teams (multiple vendors) have the necessary documentation, policies, rules, etc to be able to create data solutions that align to corporate direction
  • Responsible to ensure KT to others regarding Big Data and BI innovations
  • Consult business projects and IT projects
  • Required training around big data and analytics technologies
  • Present and/or participate in the Architecture Review Board as applicable
  • Reviews project documentation to ensure proposed data solutions are architected correctly and align properly to corporate standards
  • Facilitate meetings and work closely with business to understand data requirements. Act as a data steward when needed
  • Gather business requirements, estimate workload and document estimates for the business partners
  • Develop documentation and maintain as needed
  • The DBI architect’s strength lies in his or her ability to develop the vision of the logical / physical view of the data lake and warehouse and to mentor others on best practices for data structures
  • Demonstrate strong knowledge of industry or functional specialty as it pertains to data quality and integrity
  • Integrate models and ensure data rules and definitions are consistent across various departments
  • Anticipate and resolve data definition and integration issues for cross-functional groups
  • Develop BI business procedures and data management policies to ensure data accuracy and control
  • Document BI technology standards, procedures and best practices
  • Act as governing body for Database and Change Control meetings
  • Supports business projects by providing SME knowledge to project teams in the areas of SAP Analytics, Tableau, Qlik, Board design and technology capabilities
  • Develops and implements business intelligence tools or applications for accessing and analyzing data and meta data
  • Creates physical models and participates in the modifications to it as the project moves through the design and development phases.
  • Ensure all models are consistent with the enterprise data models, naming standards, etc.
  • Update data conceptual model as needed (additional subject areas / entities / attributes)
  • Update physical models as needed
  • Lead data integration teams and provide ETL architectural advice to team
  • Participate in design, source-to-target mapping, meta data creation, review, and testing phases of a data project/operation

Job Requirements:

  • Strong Organization skills
  • Experience creating metrics and dashboard analytics
  • Data Modeling skills
  • Highly experienced in latest security best practices to design big data systems with confidential data
  • Excellent facilitator skills
  • Experience with dealing with complex operational data technologies and heavyweight, time-dimensioned data warehouses, marts, and master data management hubs
  • Demonstrated analytical ability and creativity in developing and implementing plans and solutions for complex problems on medium size projects
  • Strong working knowledge of different types of analytics tools, techniques and approaches (reporting, canned queries, decision support, data mining, machine learning etc.)
  • Excellent business/technical oral and written communication skills to drive technology solutions using data and analytics
  • Must be self-motivated and able to work independently, consistently and meet deadlines
  • Excellent skills in designing for business functions and performance at scale using cloud data

Job Details:

Company:  Volkswagen

Vacancy Type:  Full Time

Job Location: Detroit, MI, US

Application Deadline: N/A

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