Director, Enterprise Performance & Analytics

Responsibilities

• Lead development and execution of the Company's Enterprise Performance & Analytics roadmap, aligned with corporate strategy and long-range value creation objectives.
• Develop and maintain enterprise dashboards and scorecards for Executive Leadership, Board reporting, and Monthly Operating Reviews.
• Establish enterprise KPI governance, including metric definitions, ownership, and reporting standards.
• Serve as a strategic business partner to Executive Leadership, Finance, Operations, Sales, Human Resources, and Information Technology by delivering actionable insights that improve enterprise performance.
• Lead the Company's Enterprise Performance Management and Business Intelligence initiatives using Power BI, Microsoft Fabric, and related analytical technologies.
• Develop scalable self-service reporting capabilities across the organization.
• Partner with FP&A to improve forecasting, long-range planning, and performance analysis.
• Support capital investment analysis, operational initiatives, and strategic planning through advanced analytics.
• Drive reporting automation and identify opportunities to leverage artificial intelligence, machine learning, and advanced analytics to improve efficiency, decision-making, and shareholder value.
• Partner with Information Technology to improve enterprise data governance, master data management, and reporting architecture.
• Lead, mentor, and develop Enterprise Performance & Analytics personnel while driving enterprise adoption of KPI governance, reporting standards, and data-driven decision-making across all functional areas.
• Support mergers, acquisitions, integration activities, and strategic initiatives through advanced analytics and executive performance reporting.
• Support Executive Leadership and Private Equity stakeholders through development of Board reporting, value creation metrics, and enterprise performance analytics.
• Evaluate emerging analytics technologies and recommend process improvements.
• Maintain knowledge of Business Intelligence, artificial intelligence, and analytics/reporting best practices, and continuously seek opportunities to improve reporting quality and automation.
• Participate in benchmarking initiatives supporting operational excellence and enterprise performance management.

Qualifications

• Bachelor’s degree in Business Administration, Information Systems, Data Science, or a related field.
• 10+ years of experience in Business Intelligence, Data Analysis, or related fields.
• Proven track record of leading and developing teams in a fast-paced environment.
• Experience with Power BI, Microsoft Fabric, and other analytical technologies.
• Strong understanding of data governance, master data management, and reporting architecture.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Advanced proficiency in SQL, Python, or other programming languages relevant to data analysis.
• Experience with data visualization tools such as Tableau or QlikView.
• Knowledge of financial modeling and forecasting techniques.
• Experience with data warehousing and ETL processes.