Senior Expert Data Architecture
OMV Group
Bucharest, Romania
Your tasks
- Plan, design and steer the strategy for using data in business processes and manage data in systems;
- Establish group-wide governance (guidelines, principles & standards for data mgmt., -integration and related processes) to ensure data quality and consistency;
- Govern the definition, implementation and operations of the data catalogue and metadata management tool;
- Steer the definition of the (leading) data management system and their architecture across all data types/domains;
- Account for the data governance methodology, system and tools;
- Evaluate and recommend emerging data mgmt. technologies/methodologies and define the reference architecture for it;
- Lead and enforce the definition of the data/information lifecycle (ILM) and principles in collaboration with GDPR team;
- Define and govern data (domain) models considering end-to-end optimized data flows/data lineage, business requirements, conceptual and architectural models and the data catalogue.
Your profile
- Bachelor's degree: Technical Studies, Business Administration, Project Management, Computer Science, Business Informatics;
- Relevant professional experience: more than 9 years in IT area: 3+ years of direct experience in IT Data Governance, including data domain frameworks, metadata management, data quality standards, and compliance, is essential;
- Good knowledge of Microsoft Azure products, Data Analytics;
- Have experience in complex data management scenarios in frameworks, preferably DAMA, Certified Data Management Professional (CDMP);
- Has excellent understanding of the business context, all interfaces and interdependencies and manages complex workflows with other disciplines;
- Has excellent knowledge of the capabilities and limitations of systems, peripheral devices, and the most sophisticated programming techniques (e.g. Dynamic Programming, Data Structures, A.I./ML, Concurrency and parallelism, etc.);
- Be able to think and communicate the big picture for data, and at the same time, be able to link this to individual solutions;
- While technical expertise is invaluable, a deep understanding of data governance and the ability to implement it across our organization are critical for success in this role;
- Excellent communication and intercultural skills, both verbal and written in English.
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