Dir Business Intelligence

Overview

The Director of Business Intelligence will lead the organization’s data, analytics and reporting strategy, driving data-driven decision-making and fostering a culture of data excellence. The role oversees data management and business intelligence functions to ensure the effective utilization of data assets, with a focus on governance, quality, security, and business intelligence. The leader will develop and implement strategies to leverage data for enhancing business performance, optimizing operations, and identifying new opportunities.

This position requires a blend of technical expertise, strategic thinking, and leadership skills to build and manage a high-performing, continually improving data organization. It will play a critical role in promoting data literacy across the organization, ensuring all departments can effectively use data for informed decision-making. While the role requires knowledge of data engineering and business intelligence tools, the leader is not expected to be a technical expert but must excel in translating complex technical concepts to executive-level employees.

• Develop and implement a comprehensive data strategy aligned with organizational goals, focusing on driving innovation, operational efficiency, and competitive advantage.
• Establish and enforce data governance policies to ensure data quality, security, and compliance with regulations such as GDPR and CCPA.
• Collaborate with IT resources to create and manage reliable data pipelines using Azure Data Warehouse, Microsoft SQL, and Microsoft Fabric to integrate data sources efficiently and maintain governance across platforms.

• Lead initiatives to automate data processing and reporting by designing and deploying self-service reporting frameworks in selected reporting tools.
• Translate complex business requirements into scalable, automated reporting solutions that support business objectives and enable on-demand insights for stakeholders.

• Partner with business units such as Finance, Sales, Marketing, and Operations to ensure alignment between data initiatives and business goals.
• Foster a data-driven culture by implementing user-friendly reporting tools that promote self-service and democratize data across the organization.
• Leverage expertise in Sage X3 ERP to streamline data integration and optimize workflows.

• Lead the deployment of business intelligence solutions, integrating tools like Power BI into business workflows to drive high-impact use cases.
• Continuously monitor and optimize analytics models for performance, scalability, and accuracy.
• Evaluate and implement advanced analytics and ML/AI technologies to enhance organizational capabilities and improve decision-making processes.

• Build and manage a high-performing data team, fostering a culture of innovation, collaboration, and professional growth.
• Advocate for data literacy and provide training resources to empower employees to make informed, data-driven decisions.
• Champion the adoption of advanced analytics and BI tools to uncover business opportunities and address challenges.

• Establish metrics to track the success of data initiatives and present insights, trends, and recommendations to senior leadership to inform decision-making and drive organizational goals.

• A Bachelor’s degree in Computer Science, MIS, Mathematics, Data Science, Data Analytics, or a related field, or equivalent years of experience, is required.
• A minimum of 5 years of experience in data analytics and BI strategy, preferably as a leader in mid-size companies, with a proven track record of building and developing high-performing teams.
• A minimum of 5 years of experience in data modeling, metadata management, and data dictionary development is required, along with 2-3 years working with Azure data solutions, including Azure SQL, Microsoft Fabric, and the broader Microsoft Technology Stack.
• Advanced proficiency in Power BI or Tableau, including semantic modeling, self-service dashboards, and automated reporting workflows, is essential.
• Strong knowledge of data architecture and modeling, with expertise in creating normalized and denormalized data structures for efficient query performance, is required.
• Proficiency in SQL, DAX, and preferably Python or Power Shell, with experience in automating data handling and reporting processes.
• Hands-on experience with Azure Data Warehousing solutions, ensuring scalability, performance, and availability, and strong skills in data integration and ETL processes using Microsoft Fabric, integrating multiple data sources (cloud and on-premises).
• Prior exposure to predictive analytics, AI-driven insights, and their application in guiding business strategy and operations.
• Experience with ERP systems, particularly WMS, is…