Job
- Level
- Lead
- Location
- Krems an der Donau
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 120.000 € gross/year
Job Summary
In this role, you will develop a roadmap for the data, AI, and cloud landscape and manage the analytics portfolio. You will also establish a governance model and ensure compliance in the use of data and AI.
Job Technologies
Your role in the team
- Strategic alignment of the divisional Data, AI, and Cloud landscape as well as the development of a multi-year roadmap in line with the corporate strategy.
- Management of the analytics and AI portfolio, evaluation of business cases, and prioritization of initiatives that deliver measurable value.
- Responsibility for target images, architecture principles, and reviews, as well as strategic decisions regarding platforms, sourcing, make-or-buy, and vendors in the Microsoft and SAP environment.
- Development of an effective Data & AI Governance model with clear roles, committees, processes, and KPIs, as well as the integration of Data Ownership, Stewardship, and Data Products.
- Ensuring a responsible and secure use of data and AI in compliance with the EU AI Act, GDPR, Data Act, NIS2, and ISO 27001, as well as appropriate approval and control processes.
- Representation of the division in company-wide Data, AI, and Cloud committees, co-shaping corporate standards and managing their implementation together with IT, business units, and subsidiaries, as well as preparing decision templates and reports, and overseeing strategic partners and service providers.
- Technical and disciplinary leadership and development of the team as well as promoting a data-driven culture; responsibility for operating model, FinOps, resources, skills, budget, and costs.
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Our expectations of you
Education
- Completed degree in Computer Science, Business Informatics, Data Science, Industrial Engineering, or a comparable qualification.
Qualifications
- In-depth understanding of modern data, AI, and cloud platforms within the Microsoft and SAP environments, as well as Lakehouse, Data Mesh, Data Products, GenAI, and Agentic AI.
- Very good understanding of regulatory requirements and information security in the Data, AI, and Cloud context, including EU AI Act, GDPR, NIS2, ISO 27001, Zero Trust, and IAM.
- Strong leadership, change management, and communication skills; very good German and English language skills (C1 level) as well as willingness to travel.
- Understanding of OT/IT convergence and Industry 4.0 is advantageous.
Experience
- Several years of experience in Data, Analytics, AI, or Cloud environments, as well as leadership experience or a senior architectural role in an enterprise setting.
- Proven experience in the development and implementation of Data & AI strategies, ideally within an international industrial company.
- Practical experience with data governance frameworks and enterprise architecture methods, e.g., DAMA-DMBOK, DCAM, TOGAF, or Microsoft Cloud Adoption Framework.
- Experience in committee work, portfolio, budget, and supplier management, as well as in the preparation of business cases and management templates.
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What we offer
- We offer an annual gross salary starting from EUR 120,000.00 plus variable bonus, with a willingness to pay above this amount depending on experience/qualifications.
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Benefits
Higher Take-Home Pay
Food & Drink
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
voestalpine AG
Linz, Zeltweg, Leoben, Kapfenberg, Böhlerwerk, Wien, Krems An Der Donau
Voestalpine is a world-leading technology and industrial goods conglomerate with comprehensive material processing expertise. With its top quality products and system solutions made of steel and other metals, voestalpine is one of the leading partners in Europe's automotive and household appliance industries as well as worldwide in the oil and gas industry.
Description
- Company Size
- 250+ Employees
- Language
- German
- Company Type
- Established Company
- Working Model
- Hybrid
- Industry
- Industry, Production, Internet, IT, Telecommunication
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