Director of Business Intelligence

The Director of Business Intelligence is responsible for defining and executing the organization's enterprise data and analytics strategy to enable data-driven decision-making across all business functions. This leader provides strategic oversight of Business Intelligence, Data Engineering, Data Governance, and Analytics while partnering with executive leadership to transform enterprise data into measurable business value., Enterprise Data Strategy & Leadership

• Serve as the enterprise leader for data governance, data quality, data security, and data management best practices.
• Establish and maintain enterprise data standards, policies, and procedures.
• Lead a team of BI developers, data engineers, data analysts, and architects.
• Partner with executive leadership to identify opportunities where analytics can drive operational and financial performance.
• Develop and manage BI roadmaps, project portfolios, resource planning, and departmental budgets.

Data Warehouse & Data Lake Architecture

• Develop scalable data platforms capable of integrating structured and unstructured data from internal and external sources.
• Lead the development of modern ELT/ETL frameworks and data pipelines.
• Ensure data models support operational reporting, executive dashboards, predictive analytics, and self-service business intelligence.
• Establish data lineage, metadata management, master data management, and data cataloging standards.
• Optimize data storage, performance, scalability, and data accessibility across the organization.

Data Engineering & Data Management

• Direct enterprise-wide data integration initiatives involving financial, operational, clinical, customer, and third-party systems.
• Ensure the accuracy, completeness, consistency, and reliability of organizational data assets.
• Implement processes to monitor data quality and proactively resolve data integrity issues.
• Oversee data migration, transformation, validation, and reconciliation activities.
• Establish data retention, archival, security, and compliance standards.
• Evaluate emerging technologies and platforms to improve enterprise data capabilities.

Business Intelligence, Reporting & Self-Service Analytics

• Lead the design, development, and deployment of executive dashboards, scorecards, and interactive reporting solutions.
• Establish enterprise KPI frameworks and performance management metrics.
• Develop self-service analytics capabilities using modern BI tools.
• Ensure dashboards provide actionable insights and support strategic, tactical, and operational decision-making.
• Partner with business stakeholders to gather requirements and translate business needs into scalable reporting solutions.
• Continuously improve reporting environments to enhance user experience, adoption, and data accessibility.

Advanced Analytics, Artificial Intelligence & Innovation

• Guide the development of predictive, prescriptive, and diagnostic analytics solutions.
• Lead initiatives focused on trend analysis, forecasting, segmentation, profitability analysis, resource optimization, and operational performance.
• Provide strategic recommendations based on complex analyses and business intelligence findings.
• Drive organization-wide adoption of data-driven decision-making practices.
• Present analytical findings and business recommendations to executive leadership and key stakeholders.

Operational and Financial Analytics

• Support financial performance initiatives through advanced reporting and analytics.
• Develop enterprise reporting for revenue, profitability, cost management, utilization, productivity, and operational effectiveness.
• Monitor key performance indicators and identify opportunities for process improvement.
• Collaborate with Finance, Operations, Compliance, and Business Development teams to support strategic initiatives.

Stakeholder Management

• Partner with business leaders to identify analytics opportunities and prioritize BI initiatives.
• Act as a trusted advisor to executive leadership on data strategy and business intelligence matters.
• Communicate complex technical concepts and analytical findings to both technical and non-technical audiences.
• Foster a culture of collaboration, innovation, and continuous improvement across the organization., * Develop long-term data and analytics strategies aligned with organizational goals.
• Drives enterprise-wide adoption of data-driven decision-making.

Data Architecture & Management

• Designs scalable and sustainable data environments.
• Ensures strong governance, quality, security, and accessibility of data assets.

Business Intelligence

• Translate complex business requirements into impactful dashboards and reporting solutions.
• Establish meaningful KPIs and performance monitoring systems.

Analytical Thinking

• Synthesizes complex data into actionable business insights.
• Identifies trends, risks, opportunities, and operational improvements.

Project & Program Management

• Leads large-scale cross-functional initiatives.
• Effectively manages priorities, resources, timelines, and stakeholder expectations.

Communication & Executive Presence

• Influences decision-making through data storytelling and strategic recommendations.
• Effectively communicates with executive leadership, board members, clients, and operational teams.

Innovation & Continuous Improvement

• Champions emerging technologies and modern analytics practices.
• Continuously improves data platforms, reporting capabilities, and organizational analytics maturity.

• Bachelor's degree in computer science, Information Systems, Data Analytics, Business Intelligence, Engineering, Mathematics, or related field required.
• Master's degree preferred., * 8+ years of progressive experience in Business Intelligence, Data Engineering, Data Architecture, Analytics, or related disciplines.
• 5+ years of leadership experience managing BI, Analytics, or Data Engineering teams.
• Experience designing and managing enterprise Data Warehouses and Data Lakes.
• Proven experience leading enterprise-scale data transformation initiatives.
• Experience supporting executive leadership with strategic reporting and analytics.

Technical Skills

• Advanced SQL expertise.
• Data Warehouse Architecture (Kimball, Star Schema, Snowflake Models).
• Data Lake and Modern Data Platform Architecture.
• Data Modeling and Database Design.
• ETL/ELT Development and Data Integration.
• Microsoft SQL Server, Azure, AWS, Snowflake, Databricks, or equivalent cloud platforms.
• Data Governance and Master Data Management.
• Python, R, or other analytics programming languages preferred.
• Agile project management methodologies.

Pulled from the full job description

• Referral program
• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Health savings account
• Dental insurance, * Collaborative - We are friendly, and always ready to lend a hand; We are humble, and willing to admit mistakes; We trust our team and use respectful conflict to make decisions.
• Entrepreneurial - We are personally committed, and hunger for Alivi's success; We show passion and do more with what we have; We don't give up and always find ways to get the job done.
• Dynamic - We gladly welcome change; We are smart, and challenge how things are done. We adapt quickly, and readily embrace new roles, and projects.

Pay: $150,000.00 per year, * 401(k)

• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Referral program
• Vision insurance

* How many years of experience do you have leading Business Intelligence, Data Engineering, or Analytics teams? * How many years of experience do you have in Business Intelligence, Data Engineering, Data Architecture, or Enterprise Analytics? * Which enterprise BI technologies have you professionally worked with? * Have you designed or managed an Enterprise Data Warehouse or Data Lake? * Have you managed Business Intelligence, Data Engineering, or Analytics professionals? * Briefly describe the largest Business Intelligence or Enterprise Data initiative you've led.