Tasks
Profile: Data Governance consultant
Location: Eindhoven, Netherlands (onsite)
Duration: 6 months contract
Overview:
We are seeking a Data Governance consultant who will focus on the organizational aspects of data governance within our data lakehouse environment. This individual will be responsible for developing and maintaining the necessary policies, procedures, and responsibilities for managing data assets, ensuring alignment with business objectives and compliance requirements.
Key Responsibilities:
- Develop, implement, and maintain policies and procedures for data governance, security, quality, and lifecycle management.
- Collaborate with data stewards and business stakeholders to ensure understanding and adherence to data governance frameworks.
- Lead initiatives for data classification and ownership, ensuring proper documentation and accessibility of data assets.
- Facilitate communication and training sessions to promote data governance best practices across the organization.
- Monitor adherence to established data policies and recommend improvements as needed.
- Ensure alignment between developers and business counterparts regarding data management practices.
- You will work together with data governance developer, datalake operations team and business adoption team.
Requirements
Qualifications:
- Bachelor or masters degree in Operations Research, or Information Management related fields of study
- Proven experience in data governance, data management, or related fields.
- Strong understanding of data governance frameworks and best practices.
- Familiarity with data security principles and compliance regulations (e.g., GDPR, CCPA).
- Excellent organizational, communication, and interpersonal skills.
- Experience with or knowledge of data management tools and technologies is a plus (e.g., AWS Lake Formation, data catalogs).
- Certified Data Management Professional (CDMP) certification is a strong plus.
Desired Skills:
- Ability to work independently and collaboratively in a team-oriented environment.
- Strong problem-solving skills and attention to detail.
- Familiarity with data quality management principles.
- Knowledge of organizational change management practices.
- Self starting
- IT technical acumen