Manager Data Analytics & Engineering

Manager Data Analytics & Engineering page is loaded## Manager Data Analytics & Engineering locations:
Lowell, Massachusetts, UStime type:
Full time posted on:
Posted Todayjob requisition :
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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.##

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** Group

Summary:

** Magna New Mobility is a business unit inside Magna International leveraging Magna’s technology building blocks, developing new capabilities, and entering new markets and use cases. Our products include advanced solutions for urban markets, industrial intralogistics, commercial and autonomous vehicles.

Magna New Mobility is also creating advanced software solutions that integrate with next-generation hardware. Our software is a core driver - turning our hardware into smart, integrated platforms for partners eager to advance the mobility sector.

Magna's New Mobility group is not just about building individual technologies; we aim to create integrated solutions that address the complex challenges of moving people efficiently and cost effectively in the 21st century. Join us in advancing and shaping the future of mobility.
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* Job Responsibilities:

** We are seeking a
** Manager Data Analytics & Engineering
** to lead the development of scalable data platforms, analytics systems, and data science solutions that enable intelligent, data-driven decision making across the organization.

This role will lead a team of data engineers, data scientists, and analysts responsible for building robust data pipelines, developing advanced algorithms, and delivering actionable insights through dashboards and analytics platforms.

The ideal candidate combines strong data engineering ability (Databricks, data pipelines) with data science and algorithmic thinking and has experience delivering business intelligence dashboards (Quick Sight or similar tools) that translate complex datasets into operational insights.### What you will be doing in this role:
* Participate and lead design and manage scalable data platforms using Databricks and modern lakehouse architectures
* Oversee ETL/ELT pipelines to ingest data from multiple enterprise systems (ERP, MES, IoT platforms, applications)
* Develop scalable data models that support analytics, machine learning, and reporting
* Ensure data quality, governance, security, and performance across the data ecosystem
* Collaborate with engineering teams to product ionize data science models within the platform. Evaluate and implement advanced analytics techniques and AI capabilities
* Manage the development and maintenance of interactive dashboards and data visualizations using Quick Sight or similar BI platforms
* Define and track business KPIs, operational metrics, and performance indicators
* Enable self-service analytics for product, operations, and leadership teams
* Facilitate translation of complex data insights into clear, actionable recommendations
* Lead and mentor a team of data engineers, data scientists, and analysts
* Define technical standards for data engineering, model development, and analytics
* Manage roadmap, sprint planning, and delivery of data and analytics initiatives
* Foster a culture of data-driven decision making across the organization### What you should bring to this role:
* Bachelor's Degree in Data Science, Computer Science, Mathematics or related field required, Masters Degree strongly preferred
* 8+ years of experience in data engineering and data analytics required
* 2+ years of experience leading data or analytics teams preferred
* Strong experience with Databricks, Spark, or modern lakehouse architectures required
* Expertise in SQL and Python for data engineering and analytics required
* Strong understanding of algorithms,…