Advisor

Overview of the company

We, OMV Petrom Global Solutions, are proud members of the OMV IT community. OMV IT delivers industry best practice solutions which enable our business success in the Energy Production and Distribution industry. It is our vision to "Enable Success and Transformation!" and our mission to address this goal with the right capabilities, at the right time, with the right mindset.We are at the core of user experience on both sides of the isle: business and our consumer market. We challenge the status-quo. We are partnering with business experts to shape the future service portfolio of our digital tools. Thus, we have a key role in OMV’s Digital Transformation. Together, we are on a never-ending quest to test the edge of what is possible. We strongly believe each end every IT employee makes a difference in that respect.

Your tasks

• Define and maintain target-state Data & AI architectures, reference models, and blueprints for platforms, analytics, AI/ML, and cross-domain data solutions.
• Lead the definition of data and information lifecycle management (ILM) principles in collaboration with GDPR and Information Security functions.
• Establish, enforce, and continuously enhance group-wide guidelines, principles, and standards for data architecture, data quality, metadata, lifecycle management, and integration processes.
• Develop and govern the Data & AI governance framework, methodologies (e.g., DAMA), and supporting tools, ensuring their adoption across the organization.
• Identify, communicate, and manage data and AI-related risks, ensuring compliance with regulatory, GDPR, and internal policies.
• Define and govern data domain models & data product architecture, including conceptual, logical, and physical data models across domains , ensuring semantic consistency and reuse across business domains.
• Govern the definition, implementation, and operations of data catalogues, metadata management tools, and AI model registries.
• Act as a key interface between Business, IT, and Data functions, facilitating the translation of business requirements and use cases into domain-driven Data Products, architecture roadmaps and implementation blueprints.
• Define, govern, and continuously improve the Group-wide Data Product architecture framework, including methodologies, templates, standards, and lifecycle processes for the design, implementation, and operation of reusable, trusted, and business-oriented Data Products.

Your skills

• Education: Bachelor’s degree in Technical Studies, Business Administration, Project Management, Computer Science, Business Informatics or related field
• Relevant professional skills: >12 years