Data Management Consultant

• Gross monthly salary between € 3,245 and € 3,965 depending on your work experience, profit sharing, a fixed expense allowance, and a work-from-home allowance per worked day.
• A flexible pension without a mandatory personal contribution.
• 30 vacation days (on a full-time basis) and the possibility to buy more days or sell your vacation days.
• At KPMG we work hybrid, so a combination of both working from home and at the office.
• A fully equipped home office.
• A lease car or a mobility scheme. 
• A company laptop and iPhone.
• An extensive range of training and education that contributes to your professional and personal development.
• Diversity networks in the areas of pride, gender, ability, cultural diversity, and generations that regularly organize various activities to celebrate difference!
• Attention to vitality! Exercising at the office in Amstelveen or a discount at a gym near you, as well as access to coaching, health, and vitality programs.
• ‘Together’ is one of our core values. You can therefore count on various social activities such as team outings, drinks, and events together with your colleagues.

Within our AI & Data team, you work on the foundation of data-driven organizations. We help customers gain control over their data and utilize it optimally for innovation, analytics, and AI. As a Consultant Data Management, you are part of various project teams and you support diverse projects to successfully implement data management at our customers.

We do this by combining our consulting skills with in-depth data management expertise and our industry knowledge. Whether it is formulating a new AI & Data strategy or executing an implementation process for a data management solution, with us you get the chance to successfully guide customers in this.

• Supporting customers in setting up data governance. You help with setting up a data office and governance structures, and together with the customer, you develop an AI & Data strategy and data management roadmap.
• Improving data quality; you design and implement processes to map out and resolve data quality issues, so that our customers' data is reliable and usable.
• Taking responsibility for delivering parts of projects and presenting these to the customer.
• Carrying out measurements of the organization's data management maturity, for example by interviewing stakeholders, analyzing documentation, and organizing workshops.
• Providing training and workshops to increase the data literacy of our customers, so that they are better able to make data-driven decisions.
• Assisting in expanding new insights in the fields of AI and ESG within data management. You translate these developments into practical applications for our customers.
• Contributing to the growth of our team by sharing knowledge and organizing knowledge sessions, team meetings, or recruitment activities that strengthen our collective expertise.