Manager Data Analytics & Engineering

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What we offer:

Group Summary:

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 (QuickSight 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 productionize 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 QuickSight 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, statistical modeling, and data science techniques required
• Experience building business intelligence dashboards (QuickSight, Tableau, Power BI, Looker) required

Hiring Base Salary Range: $105,780 - $196,440 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data).In addition to base salary, some positions are eligible for an annual performance based bonus.

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.