IT Manager - Operations, Purchasing, and Finance
About The Position
We are seeking a strategic and hands-on Manager of Data & Analytics to lead the development and governance of data assets supporting operations, purchasing, and finance functions across the enterprise. This role will oversee a team of analytics engineers and collaborate with cross-functional 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 operational metrics, procurement data, and financial data domains (e.g., spend, supplier performance, cost centers, budgets).
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 dbt (Core or Cloud) and Microsoft Fabric.
- Strong understanding of operations, procurement, and financial data structures and reporting requirements.
- 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 operations, purchasing, or finance analytics.
- 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 operations, purchasing, and finance 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, procurement platforms, financial systems, and other enterprise applications.
- 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
