DHL Nederland

Data Product Manager (m/f/d)

  • Vacature
  • Fulltime baan
MBO
  • Noord-Holland
Amsterdam
2 december 2023

Details van de functie

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Position: Data Product Manager (m/f/d)
Customer: DHL Supply Chain
Contract Type: Full-time, Permanent
Closing Date for Applications: 02nd September 2022

Location: Europe preferred - Bonn (Germany), Netherlands, Belgium, other strategic locations in Europe will be considered.

Are you a motivated, organized person seeking an exciting and rewarding opening in a fast-paced environment? Would you enjoy being part of a committed team that works together to create a relevant, important difference in the lives of our customers and employees? If you're looking for change, and you're ready to make changes ? we're looking for you.

In 2020, DHL Supply Chain launched a Data Analytics vision including a strong focus on operations and customer supply chain analytics. The aim of this accelerated data analytics program is to maximize the pace with which DHL Supply Chain identifies data analytics opportunities, productizes use cases and supports rolling them out at scale. As an example, in 2021 the team built a strong business case for the accelerated rollout of transport analytics, providing quick payback and high EBIT value.

Supply Chain Analytics designs and manages data products for DSC's data scientists. These data products will form the cornerstone of data analytics solutions that will be rolled out at scale.

If this sounds like a team you'd like to join ? keep reading. We make promises to our customers, and we'll make promises to you too.

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:

You won't find another job like the one you'll find with DHL Supply Chain.

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.

What you'll need to do next?

If you have a proven track record of achievement to match the requirements for this role and you are looking for your next career move, simply apply online ensuring that a full up to date CV is attached with your application.

We will ensure that all our resourcing activities are fair, transparent and consistent across the Globe. We want to ensure that the candidate experience is of the highest professional standard.

The Company is committed to providing equality of opportunity for all employees. Furthermore we aim to ensure our workplaces are free from discrimination and that not only employees but also our potential future employees are treated fairly and with dignity and respect. We will ensure that equality of opportunity maintains a high profile in our organization.
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