Manager of Master Data Management & Analytics Engineering

Maumee, Ohio Manager of Master Data Management & Analytics Engineering #1045193 Job Description

• 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).

• Lead a team of analytics engineers in designing and building data models and pipelines using dbt and Microsoft Fabric tools (One Lake, 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 optimise 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.

• 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.

• 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 Dev Ops environments.

• Medical and Dental (Fast Tek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar‑for‑dollar match