Engage with internal stakeholders of our data domains, supporting implementation of the overall enterprise data quality roadmap

Help establish the roles and responsibilities as well as principles related to Data Quality in our data domains, ensuring accountability for the development of data stewardship and data assets

Facilitate the development and implementation of high Data Quality standards to ensure reliability, consistency, and completeness, in close collaboration with Data Governance: definition of business rules, use of corporate tools, development of data quality dashboards, adoption of policies and best practices, applied at raw data (including data profiling) as well as data products

Help implement detailed data quality knowledge to key stakeholders including data stewards, owners and sometimes even Project Owners at a higher level. Securing consistency and effectiveness by using workflow, processes (issues management: identification and resolution, escalation process), life cycle management

Help establish data quality metrics, monitor frequently, ensure adoption to quality requirements, coordinate improvement plans

Have Master degree in Data management/Analytics, Information Technology, Mathematics, Statistics or related field, and 5–10 years of experience in the industry or a service company in close relation with Data Quality and Data Management in a Data Mesh environment

Strong understanding of data governance & data management practices, with demonstrated experience in implementing Data Quality in federated data domains

Knowledge and understanding of data and technological landscape (DTAP) of transactional systems, data management, processes and data analytics consumption

Knowledge of data quality related frameworks, best practices, privacy, regulatory requirements (such as SOX or GDPR) and emerging technologies such as AI/ML and Generative AI

Strong communication skills used to drive change & guide data (quality) stewardship

Demonstrate interpersonal capacities to collaborate and relate openly with diverse groups of international stakeholders across organizations

With strong attention to detail and accuracy, you are reliable, accountable, a curious and persistent team player, proactive, structured, with drive and autonomy. Your hands-on mentality helps you achieve results together with your project team

Have a strong drive to work out loud while gaining control and governing of your data landscape

Be able to seamlessly explain various Data Quality Dimensions and provide easy examples to get stakeholders to adopt and make swift steps forward in consistent scorecard

At least 1 year of experience with Informatica IDQ and/or CDQ in an enterprise environment

Experience with Enterprise Data Governance Solutions such as Informatica Cloud Data Governance & Catalog, Axon, Collibra, Alation or others

Agile/SCRUM Project management (including Jira tool) would be a plus