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32,000+ live jobsHBO/WO Internship: Data Management Improvement
On-site in Zwolle·Full-time·Added 5 days ago (last checked 26 Oct)
Our summary
- Work mode
- On-site, Zwolle
- Contract
- Full-time
- Languages
- Dutch



Skills
This job advert was originally written in Dutch.
Requirements
What we're looking for
For this assignment, you need knowledge of data management and data governance, for example based on DAMA-DMBOK®, and of data platforms such as Microsoft Azure and Databricks. Additionally, research skills, analytical ability, stakeholder management, and the ability to connect organizational and technical issues are important.
You will be given the space to align the final scope and research method with the requirements of your master's program. During the assignment, you will receive regular guidance and feedback from an experienced mentor. You will also receive access to the necessary software and tools and will be supported in collecting relevant data and information.
Pay & benefits
What you'll get
- You will receive an internship at a globally operating healthcare company. An internship is a wonderful opportunity to get acquainted with it; perhaps one of Abbott's companies will even become your future employer.
- You will be assigned a technical supervisor with whom you will spar about the substantive progress of your assignment, and you will receive a mentor from the Project Management department. The supervisor/mentor will discuss progress with you and, if necessary, liaise with your educational institution.
- To do your work well, you will be given access to the systems with an Abbott laptop.
- And finally, you will receive an internship allowance of € 500,- (gross per month for full-time).
The role
We are looking for a Data Management improvement intern!
What you'll do
- the expected value for internal customers;
- strategic alignment;
- data quality and data availability;
- required capacity and competencies;
- development, platform, and management costs;
- technical feasibility and scalability;
- information security and access management;
- ownership and responsibilities;
- risks, dependencies, and compliance with internal guidelines;
- the possibilities and conditions for the responsible application of AI.
You will test the designed framework with various stakeholders and validate to what extent it is usable, executable, and transferable within the organization. Where possible, you will apply the framework to existing or representative practical cases. Based on the results, you will propose improvements and substantiate which organizational, procedural, and technical adjustments are necessary.
Finally, you will work out an implementation proposal. You will document the framework, describe the required roles and working methods, and develop supporting material for end users. Depending on the scope of the assignment, a pilot, prototype, or training may also be part of the implementation.
How you'll work
Standard
No
Expected results
The expected results of the assignment are:
- An analysis of the current situation, including processes, data tools used, decision-making, costs, bottlenecks, and opportunities for improvement.
- A clear division of roles and responsibilities between the various actors involved, for example, elaborated in a RACI model or similar governance structure.
- A validated framework for assessing and prioritizing data, analytics, automation, and AI initiatives.
- A detailed overview of access requirements, security conditions, and responsibilities, including a proposal for the technical setup.
- A substantiated implementation advice, including prerequisites, risks, required resources, and possible next steps.
- Documentation and training material for the involved administrators, decision-makers, and end users.
What do you bring?
Is pursuing a Master's degree and wants to conduct a master's thesis. Furthermore, the student has the following knowledge and skills
- Knowledge of subjects such as computer science and data management
- Understanding of MS Office 365 power suite applications
- Understanding of AI models.
- Has an eye for detail and for the bigger picture.
- Works with colleagues from the Netherlands and with all kinds of other nationalities, therefore good Dutch and English speaking and writing skills are important.
Interested?
Apply directly with your CV!
N/A
In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Administrative Support
DIVISION:
ANSC Nutrition Supply Chain
LOCATION: Netherlands > Zwolle : Grote Voort 247
MEDICAL SURVEILLANCE:
Not Applicable
SIGNIFICANT WORK ACTIVITIES:
Not Applicable
About Abbott
- Industry
- Healthcare and Medical Devices
- Founded
- 1888
- Employees
- 100,000+
- Headquarters
- Abbott Park, USA
In their own words
About the company & team
At Abbott, we want to help people live their best lives through good health. We do this with a wide range of science-based nutrition products, diagnostic equipment, and medical devices. Every day, we discover new ways to further improve life.
Abbott Logistics is a location where people work with a diverse range of functions and regional roles. Here, we focus on executing and improving our business processes regarding; procurement, planning & service, distribution & transport, customs & finance. It is an international organization where we are in contact every day with suppliers, factories, and customers from all parts of the world.
About the project
The Project Management team is responsible for coordinating projects and providing reports, business analytics, and process automation solutions to the planning department and other internal business partners within the supply chain.
The world of data management and artificial intelligence is changing rapidly. At the same time, the possibilities, costs, and complexity of data platforms, analytics tools, and AI applications are increasing. This creates a need to more consciously determine which solutions are deployed, how available data and project resources are distributed, and what added value is realized for internal customers as a result.
Within this assignment, you will investigate how the organization can deploy its data resources, project capacity, data management solutions, and associated costs more effectively. In doing so, you will take into account, among other things, the needs of internal customers, data quality, accessibility, security, ownership, technical feasibility, manageability, and the expected added value.
You will begin by analyzing current processes, roles, responsibilities, data tools used, and decision-making criteria. You will also map out how requests from internal customers are currently assessed, prioritized, and assigned to available resources. Subsequently, you will investigate which bottlenecks, risks, and opportunities for improvement exist.
Based on this analysis, you will develop and compare different solution directions. For one selected solution direction, you will design a coherent framework with which future requests and solutions can be assessed and prioritized in a consistent and transparent manner. This framework may contain criteria for, for example:
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