Product Data Manager at DHL

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.