Senior Consultant Data Management

• Gross monthly salary between € 4,000.- and € 5,000.- depending on your work experience, profit sharing, a fixed expense allowance, and a home office allowance of per worked day.
• 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 working from home, at the client, and at the office.
• A fully equipped home office.
• A lease car with an NS business card or a mobility scheme.
• A company laptop and iPhone..
• An extensive range of training and education that contributes to your professional and personal development.
• 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 will work on the foundation of data-driven organizations. We help clients gain control over their data and utilize it optimally for innovation, analytics, and AI.

As a Senior Consultant Data Management, you will be part of various project teams and support diverse projects to successfully implement data management for our clients. We do this by combining our consulting skills with in-depth data management expertise and our industry knowledge. Whether it involves designing a Data & Analytics organization or executing an implementation process for a data management solution, with us you get the opportunity to successfully guide clients through this. You have the ambition to keep up with new developments, such as AI, to work innovatively, and you see the role data plays in this. With a great sense of responsibility and a curious attitude, you will work in multidisciplinary teams and contribute to data-related strategic, organizational, and technological changes at clients.

• 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.
• Coach in guiding consultants in both their professional and substantive development.
• Contributing to the growth of our team by sharing knowledge and organizing knowledge sessions, team meetings, or recruitment activities that strengthen our collective expertise.