IT Manager - LV, Engineering, and Master Data
About The Position
Dana is a global leader in the supply of highly engineered driveline, sealing, and thermal-management technologies that improve the efficiency and performance of vehicles with both conventional and alternative-energy powertrains. Serving three primary markets - passenger vehicle, commercial truck, and off-highway equipment - Dana provides the world's original-equipment manufacturers and the aftermarket with local product and service support through a network of nearly 100 engineering, manufacturing, and distribution facilities. Job Purpose We are seeking a strategic and hands-on Manager of Data & Analytics to lead the development and governance of master and engineering data assets across the enterprise. This role will oversee a team of analytics engineers and collaborate with business and technical stakeholders to deliver trusted, reusable, and scalable data products using Microsoft Fabric and dbt. You will be responsible for shaping the data architecture and transformation pipelines that support enterprise-wide reporting, analytics, and operational decision-making, with a strong emphasis on master data domains (e.g., customer, product, vendor) and engineering data (e.g., BOMs, specifications, process metrics).
Requirements
- 5+ years of experience in analytics engineering, data engineering, or related roles, with 2+ years in a leadership or managerial capacity.
- Proven expertise in SQL, preferably in dbt (Core or Cloud) and Microsoft Fabric.
- Strong understanding of master data management (MDM) principles and engineering/manufacturing data structures.
- Advanced SQL skills and experience with large-scale data environments.
- Familiarity with data governance frameworks, data lineage, and metadata tools.
- Experience with Git-based version control and CI/CD pipelines.
- Excellent leadership, communication, and stakeholder management skills
Nice To Haves
- Experience with Power BI DAX and semantic modeling.
- Knowledge of Microsoft Purview or other data cataloging tools.
- Background in engineering data.
- Familiarity with Python or other scripting languages.
- Experience working in Agile or DevOps environments.
Responsibilities
- Lead a team of analytics engineers in designing and building data models and pipelines using dbt and Microsoft Fabric tools (OneLake, Lakehouse, Warehouse, Power BI).
- Own the strategy and execution for master data and engineering data enablement, ensuring consistency, quality, and governance across domains.
- Collaborate with data governance, IT, and business teams to define data standards, stewardship processes, and metadata management practices.
- Develop and maintain semantic models in Power BI that support enterprise reporting and analytics use cases.
- Drive adoption of best practices in data modeling, transformation, testing, and documentation.
- Monitor and optimize performance of data workflows and ensure reliability of production pipelines.
- Support data integration efforts across ERP, PLM, MES, and other enterprise systems.
- Mentor team members and foster a culture of continuous improvement and innovation.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Industry
Transportation Equipment Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
