The core mission of this role is to support data governance team in developing and implementing data governance policies and procedures to ensure data quality, integrity and accessibility across the organization. The primary purpose of data governance specialist is to ensure the operationalizing of the policies and procedures in collaboration with data management operation, data owners, and data & AI product team. This is a great opportunity to be part of data-driven growth and transformation journey. In addition, this role collaborates with business units and data & AI product team to identify required procedure to be compliant with internal policies and external regulatories.
Responsibilities
- Develop and implement data and AI governance frameworks, policies, and procedures.
- Provide guidance on data management, including data lifecycle management, data quality, and data risk.
- Collaborate with business units to identify critical data elements and establish data protection protocols.
- Collaborate with data product and data platform team to ensure seamless data and AI governance in each domain.
- Work closely with data governance officer to roll out governance capabilities for protecting valuable data assets and support data-driven approaches.
- Define guidelines and guardrails together with data product teams to ensure alignment with architectural principles.
- Implementing data governance processes, role and responsibilities to ensure clear accountability for managing data assets.
Required Skills
- Academic degree in computer science, business, information management or comparable training.
- Experience in data governance, data management, or a related field. Experience in developing and implementing data governance frameworks and policies is highly valued.
- Knowledge of Data Governance Principles: In-depth understanding of data governance principles, best practices, and industry standards In-depth understanding of data governance principles, best practices, and industry standards. Familiarity with data related regulations such as GDPR or CCPA, EU data act and experience in compliance.
- Data Management Expertise: Strong knowledge of data management practices, including data quality, data classification, data lineage, and data lifecycle management.
- Stakeholder Management: Excellent communication and coaching skills to engage stakeholders at all levels.
- Analytical and Problem-Solving Skills: Strong analytical skills to identify data governance issues, assess risks, and develop effective solutions.
- Project Management: Ability to manage multiple projects simultaneously, set priorities, and meet deadlines.
- Experience in driving federated data governance in data mesh and domain-driven environments.
- Excel in communicating and translating complex principles and concepts effectively cross-functionally.
- Holistic awareness of the data and analytics domain and functions in an industrial context.
- Experience with data related regulatory compliance.
- Ability to work in a multi-cultural global environment.
- Fluent in English.
