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Salary
≈ $28k – $52k per year (Estimated)
Location
Hybrid (India)
Seniority
Staff · 8+ years exp

First seen by Alion on Oct 29, 2026. Magna scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Aurora, Ontario, Canada, Magna International is one of the world's largest automotive suppliers and mobility technology companies. The company designs, develops, and manufactures complex automotive systems - including body exteriors, powertrains, seating, and driver-assistance electronics - while also providing complete vehicle assembly. By continuously advancing innovations in electrification and autonomous driving systems, it serves as a primary manufacturing and engineering partner to major global automakers.

Job Responsibilities :

What you can expect :

We are seeking an experienced data governance and architecture leader to shape and manage our enterprise-wide master data management framework and data platform.

This role will define governance standards and strategy, design the data architecture, architect the central data platform, and coordinate stakeholders across business, IT, and data teams.

The successful candidate will combine technical data architecture expertise with business-process understanding and strong execution and influencing skills to deliver trusted, reusable data and business value.

- Shape and execute the strategy for data governance, master data, data architecture, and data platform, in alignment with business priorities

- Translate business needs and use cases into data models that enable scalable digital solutions, including AI

- Establish governance standards, accountability, and controls to ensure data quality, integrity, security, and reusability

- Design, scale, and manage Group data architecture and platform, including schemas, access controls, integrations, and secure, efficient data pipelines

- Define data quality rules and metrics, align accountable owners, and drive priority issues to resolution

- Lead Group data operations, aligning Group, divisional, functional, and enterprise data teams to address cross-functional dependencies

- Represent Magna Electronics in corporate data governance forums, consolidating divisional and functional priorities

- Drive data literacy, organisational change, and adoption of consistent data practices across business and IT

What you'll bring :

- Bachelor's degree in computer science, data science, data engineering, information management, business information systems, or a related field; a master's degree and relevant certifications are a plus

- 8+ years of experience in data governance, data architecture, master data management, or data platform design, including leadership or cross-functional coordination responsibility

- Strong business acumen with the ability to rapidly understand organizational processes, systems, and data environments

- Proven experience building and operating master data governance frameworks and translating business-process needs into sustainable data solutions, ideally within automotive, manufacturing, or high-tech industries

- Strong expertise with Databricks, Lakehouse architectures, or comparable modern data-platform technologies

- Deep understanding of data quality, ownership, stewardship, security, privacy, and relevant compliance standards

- Demonstrated ability to align federated stakeholders, lead governance forums, establish accountability, and drive complex issues and remediation actions to closure

- Excellent stakeholder management, communication, facilitation, change-management, and execution skills; familiarity with automotive data sources, sensor data, and engineering or manufacturing workflows is a plus

What we offer :

- We offer an annual gross salary starting from 175,000 RON, complemented by our benefits package

- Flexible working hours and hybrid work

- Health and wellbeing programs

- Meal allowance of 35 RON per day, offered through meal tickets

- Team events and company initiatives

- Extensive training and exciting internal development opportunities

Skills

Data Architect, Data Governance, Databricks, Data Modeling, Data Quality, Data Engineering, MDM, Master Data Services

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