Enterprise Architect
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What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-mindedteam. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities:
The Enterprise Architecture (EA) team works at the intersection of business and technology, shaping a unified view of the organization's capabilities, processes, data, applications, security, and overall technology landscape. EA facilitates discussions on how to optimize this landscape and drives governance around reference architectures and standards that support the company’s overarching vision and strategy.
The Enterprise Architecture function is responsible for:
- Defining, supporting, and publishing Magna’s current- and future-state enterprise architecture across technology, processes, data, and security.
- Embedding an AI-first mindset into enterprise design and architectural decision-making.
- Delivering actionable EA outputs in an agile, time-sensitive manner, ensuring alignment of initiatives with strategy, roadmaps, and the broader enterprise context.
- Positioning EA as an internal management consultancy by providing services and expertise that support strategic decision-making and implementation.
- Publishing Global IT’s enterprise reference architecture, including design guidelines and standards for target-state capabilities.
- Evaluating architectural options and supporting the development of technology strategy in response to emerging internal or external disruptive factors.
- Maintaining strong industry knowledge across Magna business areas, fostering decentralized innovation through Continuous Innovation & Foresight services, and guiding IT in adopting emerging technologies at the right time.
Major Responsibilities
- Assess technology strategy, organizational setup, applications, and infrastructure, identifying IT-related risks.
- Advise on the full enterprise architecture landscape, including application, data, information, integration, and security architecture.
- Integrate Generative AI and Agentic AI capabilities into enterprise solutions using modern frameworks, enabling advanced productivity and functionality (e.g., predictive analytics, automation).
- Lead or support the implementation of large-scale, innovative IT solutions to enable business transformation.
- Develop technology strategies and planning deliverables that mitigate IT risks and improve organizational effectiveness-especiallyaround application integration.
- Create target-state solution architectures, conduct assessments, and perform detailed gap analyses.
- Drive technical debt reduction initiatives and promote harmonization and standardization across the IT landscape.
- Contribute to the creation of solution strategies and multi-year roadmaps.
- Convey complex technical topics through clear storytelling tailored to diverse audiences.
- Support the establishment of Centers of Excellence and Communities of Practice.
- Lead or advise the Architecture Review Board (ARB).
Knowledge and Education
- University degree in Business Information Systems, Informatics, Business Administration, or a related discipline.
- Fluency in English.
- Experience in Enterprise Architecture (EA) or related domains.
- EA certifications (e.g., TOGAF, Zimmermann) are an advantage.
- Strong understanding of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks, with the ability to align AI capabilities to business outcomes responsibly and at scale.
- Broad understanding of business processes and their interplay with IT, paired with curiosity and a drive for continuous learning.
- Excellent communication, collaboration, leadership, and stakeholder management skills.
Work Experience
- At least 5 years of experience in Enterprise Architecture or related cross-functional roles.
Skills and Competencies
- Ability to develop business capability maps and identify supporting applications.
- Experience generating IT landscape reports, including application inventories, dependencies, and data flows.
- Capability to create migration roadmaps and project plans for transitioning from legacy to modern systems.
- Proficiency in developing current-state and future-state Enterprise Architecture artifacts.
- Strong understanding of AI and its integration into enterprise environments, ensuring secure, scalable, and innovative solutions across multi-cloud landscapes.
- Ability to produce application criticality assessments and lifecycle roadmaps based on technical and business criteria.
- Strong storytelling skills, with the ability to clearly communicate complex architecture topics to varied audiences.
- Expertise in governance frameworks ensuring quality, security, and compliance.
- Experience embedding generative AI capabilities into enterprise systems to improve processes, insights, and decision-making.
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.