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  • Posted: Jun 22, 2022
    Deadline: Not specified
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  • Our Vision, Our Mission, Our Strategy Our vision is to be The Logistics Company for the World. Our mission - Excellence. Simply Delivered. - is our guiding light. Our Strategy 2020: Focus.Connect.Grow. is our roadmap to the future. We connect people and improve their lives. And we do it by being uncompromisingly customer-centric and delivering excellen...
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    Product Data Manager

    The key responsibilities in this role include:

    • Identify, design, develop and maintain data products that can accelerate implementation of use cases in the area of DHL Supply Chain operations.
    • Develop business rules, data dictionary, data models for applications across the domain.
    • Provide ongoing support to use case owners, data owners and application Centers of Excellence (COEs) to have scalable, interoperable data products.
    • Work with stakeholders within data analytics teams and domain data owners to define and shape the data product.
    • Design, develop and document the data product, in collaboration with domain COEs, that is accessible for authorized users – example: use case developers.
    • Communicate with data governance team to ensure the data product is in accordance with organization's data standards.
    • Ensure data products are scalable, interoperable and secure yet accessible as defined by data owners.
    • Define, design and deploy data products across one or multiple domains and ensure access to users by balancing authorization requirements from data owners.
    • Monitor ongoing use of data products to help make invest/divest decisions.
    • Publish data dictionary, data catalogue, data model and other relevant assets.
    • Maintain the user stories in a prioritized backlog and effectively divide overall project goals into prioritized deliverables.
    • Build data analytics competencies in organization.

    Now here's what we need from you;

    • 6+ years of experience in data engineering, ETL, SQL/PL SQL or Java or data modelling role to create large-scale solution.
    • Deep understanding of the supply chain IT landscape, including a specialization in either WMS or TMS.
    • Configuration and development knowledge in Blue Yonder, Manhattan or Oracle Transportation Management will be a strong advantage.
    • Proven record of accomplishment in translating real-life supply chain problems into models and making data accessible for data science teams.
    • Experience in managing a large number of heterogeneous and senior stakeholders
    • Experience in data modelling tools like Hackolade, Power Designer or ERWIN.
    • Experience working in Agile/Scrum methodology as either scrum master or developer.
    • Good knowledge of one or more data governance platform like Collibra, Azure Purview or Informatica Enterprise Data Catalog.
    • Master's Degree or equivalent in Computer Science, Data Engineering, Data Science or related fields
    • Demonstrable working experience in developing solutions using relational and non-relational databases, ETL tools and expert knowledge of SQL or Java or Python.

    Method of Application

    Interested and qualified? Go to DHL on supplychainjobs.dhl.com to apply

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