Manager Data of Analytics

We are seeking an experienced Manager of Data & Analytics to lead our enterprise-wide data strategy, architecture, and analytics initiatives. This role will play a pivotal part in building a modern, scalable, and unified data ecosystem leveraging Microsoft Fabric, Microsoft OneLake, and Power BI, all hosted on the Microsoft Azure Cloud. The successful candidate will design and implement a data framework that ensures consistent, clean, and reliable data from multiple ERP and business systems, enabling the organization to make smarter, faster, and more informed decisions.

Key Responsibilities

• Work with VP of IT to define and execute the enterprise data and analytics strategy, ensuring alignment with business objectives.
• Drive adoption of analytics across the organization.
• Serve as the organization’s Manager responsible for data governance, quality, and visualization.
• Oversee the integration of data from Epicor, Navision, Proginov, and other ERP and operational systems into Microsoft Fabric / OneLake.
• Collaborate with departments that have worked to get data extract and align and optimize the source data and the extracts to be comprehensive and consistent.
• Establish a common data framework to standardize data definitions, fields, and metrics across disparate sources.
• Implement data cleansing and transformation pipelines to ensure accuracy, consistency, and usability.
• Ensure all work complies with best practices for security, scalability, and regulatory compliance within the Azure Cloud environment.
• Drive the adoption and optimization of Microsoft Power BI and Power Platform as the enterprise analytics and visualization tool.
• Develop enterprise-wide dashboards and self-service analytics capabilities to empower business leaders.
• Partner with functional teams (Finance, Operations, Sales, Supply Chain, etc.) to translate business needs into actionable insights.
• Establish and enforce data governance policies, ensuring consistent use of data assets across the organization.
• Define data stewardship practices and ensure proper interpretation and use of data fields.
• Monitor performance and continuously optimize data models, pipelines, and reporting solutions.
• Provide Regional and Global Data visualizations in the form of KPIs and Dashboards according to needs from Business Leaders.
• Conduct Data and reporting workshops and training to users in order to get a self-service model created.

Qualifications, Education and Experience