Confidential Jobs
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 organizations 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 Bachelors or Masters degree in Data Science, Computer Science, Information Systems, or a related field. 5+ years of experience in data management, analytics, or business intelligence, with at least 3 years in a leadership role. Proven track record of building enterprise-wide data strategies and analytics platforms. Deep expertise with Microsoft Power BI, Microsoft Fabric, Microsoft OneLake, Microsoft Data Factory, and Azure Cloud services. Strong experience in data integration from ERP systems (Epicor, Navision, Proginov, and others). Proficiency in SQL, data modeling, and ETL/ELT processes. Familiarity with data governance frameworks and master data management. Good management skills with the ability to build, mentor, and scale data teams. Strong business acumen with the ability to communicate complex data concepts in clear business terms. Ability to partner effectively with executive leadership, functional leaders, and cross-functional stakeholders. Experience with
AI and advanced analytics
applications in business preferred. Knowledge of
supply chain, finance, and manufacturing ERP processes preferred. Certifications in
Microsoft Azure Data, Power BI, or related technologies preferred.
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 organizations 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 Bachelors or Masters degree in Data Science, Computer Science, Information Systems, or a related field. 5+ years of experience in data management, analytics, or business intelligence, with at least 3 years in a leadership role. Proven track record of building enterprise-wide data strategies and analytics platforms. Deep expertise with Microsoft Power BI, Microsoft Fabric, Microsoft OneLake, Microsoft Data Factory, and Azure Cloud services. Strong experience in data integration from ERP systems (Epicor, Navision, Proginov, and others). Proficiency in SQL, data modeling, and ETL/ELT processes. Familiarity with data governance frameworks and master data management. Good management skills with the ability to build, mentor, and scale data teams. Strong business acumen with the ability to communicate complex data concepts in clear business terms. Ability to partner effectively with executive leadership, functional leaders, and cross-functional stakeholders. Experience with
AI and advanced analytics
applications in business preferred. Knowledge of
supply chain, finance, and manufacturing ERP processes preferred. Certifications in
Microsoft Azure Data, Power BI, or related technologies preferred.