Project Manager, Data Transformation
Listed on 2026-01-01
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IT/Tech
Data Science Manager
Project Manager, Data Transformation at Magna International.
What We OfferAt 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.
GroupSummary
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‑minded team. 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 OverviewThe Project Manager, Data Transformation plays a key role in Magna’s Data Transformation journey. This role is crucial for managing data methodologies, standards, and governance practices across business domains, while supporting adoption within operational teams. This role acts as a bridge between data strategy and business execution, ensuring data foundations are effectively implemented, used, and continuously improved. Magna International Inc. is seeking a highly skilled and organized Project Manager, Data Transformation to lead and manage data transformation initiatives across the organization.
As a part of the Corporate Business Transformation Team, the ideal candidate will gather business requirements and documentation, organize multiple inputs into a cohesive project plan, and ensure successful project execution. This role requires strong project management skills, excellent communication abilities, attention to detail, and the capacity to collaborate with cross‑functional teams globally. The ideal candidate is a proactive and influential change agent with strong project management and communication skills and has the ability to work in a fast‑paced environment with multiple projects concurrently.
- Drive Enterprise Data Transformation – Lead the execution of Magna’s enterprise Data Transformation roadmap, ensuring alignment between strategic vision and operational implementation across Divisions and Functions.
- Translate Business Needs into Data Initiatives – Partner with Business and Functional Leaders to capture, structure, and prioritize data transformation requirements – turning them into actionable programs that drive measurable business value.
- Establish and Enforce Data Governance Standards – Ensure consistent adoption of data methodologies, taxonomies, and governance practices. Champion data quality, stewardship, and accountability across business domains.
- Integrate and align with Enterprise Programs – Work closely with parallel transformation programs (e.g., Procurement, Engineering, Finance, HR) to ensure data standards and models are embedded within enterprise processes and systems.
- Orchestrate Cross‑Functional Collaboration – Bring together cross‑divisional stakeholders to align on scope, objectives, and interdependencies. Facilitate workshops, working sessions, and decision forums to drive alignment and execution.
- Manage the Data Transformation Portfolio – Develop integrated project plans, track milestones, manage risks, and ensure successful delivery of initiatives. Use data‑driven dashboards and KPIs to monitor progress and communicate results.
- Champion Change Management and Adoption – Partner with the Organizational Change Management (OCM) Team to embed data‑driven behaviors, accelerate adoption, and enable sustained value realization from data initiatives.
- Communicate and Influence Across Levels – Prepare executive‑ready presentations and reports. Communicate progress, risks, and decisions effectively to senior leadership, emphasizing impact, dependencies, and outcomes.
- Continuously Improve Data Processes and Tools – Identify gaps and opportunities for improving data lifecycle management, tool adoption, and process maturity. Drive continuous improvement through feedback…
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