Director, Business Intelligence & Analytics

Matrix Medical Network is the nation’s leading independent provider of comprehensive in-home health assessments. The Director, Business Intelligence & Analytics is responsible for leading the enterprise business intelligence strategy and analytics delivery to enable data-driven decision making across the organization.

Responsibilities:

• Develop and execute the enterprise Business Intelligence strategy aligned with Matrix's business objectives
• Serve as the organization's leader for business intelligence, analytics, reporting, and performance measurement
• Translate business priorities into scalable analytics solutions that support operational excellence and strategic growth
• Establish enterprise KPIs, executive scorecards, and performance dashboards used across the organization
• Partner with executive leadership to identify opportunities where analytics can improve performance, reduce cost, increase efficiency, and enhance member outcomes
• Lead the development of advanced reporting, dashboards, scorecards, predictive models, and self-service analytics
• Utilize operational metrics, financial performance, clinical outcomes, customer insights, market trends, and competitive intelligence to guide strategic decision making
• Deliver actionable recommendations through descriptive, diagnostic, predictive, and prescriptive analytics
• Partner with stakeholders to prioritize analytical initiatives based on business value and organizational impact
• Present complex findings in clear, executive-level communications
• Lead the enterprise adoption of Agentic AI within Business Intelligence and Analytics functions
• Identify opportunities to automate reporting, insight generation, anomaly detection, forecasting, and business recommendations using AI-powered agents
• Develop AI-enabled workflows that improve analyst productivity and reduce manual reporting efforts
• Partner with Product, Engineering, and Data Science teams to embed AI-driven decision support into operational processes
• Evaluate emerging AI technologies and recommend innovative capabilities that improve organizational performance
• Establish governance and responsible AI practices to ensure transparency, compliance, security, and ethical use of AI-generated insights
• Partner with Data Engineering and Data Warehouse teams to design scalable data models that support enterprise reporting
• Ensure business intelligence solutions align with enterprise architecture and data platform strategies
• Establish development standards, release processes, documentation requirements, testing methodologies, and quality assurance practices for BI solutions
• Lead modernization efforts across BI technologies including Tableau, Power BI, Microsoft Fabric, SQL Server, cloud analytics platforms, and emerging technologies
• Drive continuous improvement of analytics platforms and reporting infrastructure
• Establish and maintain enterprise data governance standards that promote data quality, consistency, security, and integrity
• Develop standardized business definitions, KPI calculations, metadata, and reporting documentation
• Partner with business and technology leaders to improve data quality across operational systems
• Ensure reporting complies with organizational security, privacy, and regulatory requirements
• Build, lead, mentor, and develop a high-performing Business Intelligence and Analytics organization
• Recruit and retain exceptional analytics talent while fostering a culture of curiosity, innovation, accountability, and continuous learning
• Develop technical capabilities across SQL, visualization, statistical analysis, AI tools, automation, and business consulting
• Establish clear career paths, performance expectations, and development plans for team members
• Promote collaboration across analytics, engineering, product, and business teams
• Consult with executive and operational stakeholders to understand business priorities, challenges, and strategic initiatives
• Translate business needs into scalable reporting and analytics solutions
• Influence enterprise decision making through trusted analytics partnerships
• Collaborate across Clinical Operations, Member Operations, Finance, Product, Technology, Sales, Marketing, and Human Resources
• Develop analytics operating procedures that improve consistency, reliability, and delivery speed
• Establish project prioritization, intake, resource planning, and portfolio management processes
• Measure team performance through delivery metrics, quality standards, adoption, and customer satisfaction
• Continuously improve analytics delivery through automation, standardization, and Agile methodologies

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Statistics, Mathematics, Engineering, or related field required
• 8+ years of progressive experience in Business Intelligence, Analytics, Data Engineering, or Decision Support
• 4+ years leading Business Intelligence or Analytics teams
• Experience developing enterprise reporting strategies and executive dashboards
• Experience implementing modern BI platforms including Tableau and/or Power BI
• Strong experience with SQL Server, T-SQL, relational databases, and data warehousing
• Experience partnering with executive leadership on strategic business initiatives
• Advanced SQL (T-SQL, SQL Server)
• Tableau
• Microsoft Power BI
• Data Warehousing
• ETL Processes
• Data Modeling
• Data Visualization
• Statistical Analysis
• Forecasting
• Predictive Analytics
• Prescriptive Analytics
• Business Process Analysis
• AI-powered Analytics Platforms
• Agentic AI Solutions
• Data Governance Frameworks
• Agile Project Delivery
• Strategic Thinking
• Executive Communication
• Business Acumen
• Data-Driven Decision Making
• Technology Leadership
• Innovation & Continuous Improvement
• Change Leadership
• Team Development & Coaching
• Cross-Functional Collaboration
• Customer Focus
• Operational Excellence
• Problem Solving
• Results Orientation
• Influence Without Authority
• Master's degree preferred
• Experience leading analytics modernization initiatives preferred
• Experience implementing AI-enabled analytics, intelligent automation, or Agentic AI solutions strongly preferred
• Healthcare, payer, provider, population health, or risk adjustment experience preferred
• Microsoft Fabric (preferred)
• Azure Data Platform (preferred)