Director - Enterprise Analytics

Responsibilities

• Build and deliver highly performant and scalable self service reporting and dashboarding solutions across clinical, operational and other functional areas solving for a data driven organization.
• Drive the consumption of data from our enterprise data ecosystem and institutionalize self-serving BI best practices.
• Develop and shape the vision for modern enterprise analytics strategy aligned with health system priorities and promote data literacy among our business users.
• Establish enterprise reporting governance, standardization of KPI/Metrics, and best practices for reporting, dashboards, and analytics delivery.
• Guide and mentor a multi-disciplinary reporting and dashboarding team of analysts, developers, and data specialists in designing intuitive, actionable dashboards and reports that meet clinical, operational, regulatory and financial analytics needs.
• Evaluate and adopt new self-service reporting capabilities leveraging Generative BI capabilities to enhance organizational insight and efficiency.
• Collaborate with Product, Data engineering and AI vertical leaders within the Data & Analytics organization translating business needs to scalable data centric solutions.
• Drive adoption of data driven solutions and promote self-service analytics culture through training, education, and support for technical and non-technical users.
• Manage, mentor, and develop a multi-disciplinary BI team of analysts, developers, and data specialists.
• Foster a collaborative, customer-focused culture that emphasizes transparency, communication, and continuous improvement.
• Act as a trusted advisor to senior leadership, translating organizational needs into actionable analytics strategies.

Qualifications

• Bachelor’s or master’s degree in computer science, Engineering or similar.
• Minimum 12+ years of hands-on experience in modern self-service reporting and dashboarding capabilities that includes delivery and support for a health system or large healthcare organization.
• Deep expertise across the BI development lifecycle, including requirements gathering, data modeling, semantic layer design, testing, production support, and continuous improvement.
• Strong proficiency with SAP Business Objects, Microsoft Power BI, and related BI & data visualization platforms.
• Experience in developing custom BI solutions leveraging SDKs and tool kits like react.js.
• Demonstrated experience working with provider system datasets, clinical and operational business workflows, and healthcare reporting requirements.
• Solid working knowledge of Epic EMR datasets, including Clarity/Caboodle, reporting structures, and integration points.
• Proven leadership and people management skills, with experience building and developing high-performing reporting and dashboard development teams.
• Exceptional communication, stakeholder management, and problem-solving abilities.
• Proven track record in building and scaling multi-disciplinary BI teams, including recruitment, continuous learning and innovative problem-solving.
• Strong organizational skills to manage multiple projects and deadlines, with experience in agile or scrum methodologies.