Director of Data & AI

Responsibilities

• Develop and oversee enterprise-wide data governance strategies, standards, and frameworks.
• Ensure organizational data is accurate, accessible, secure, and transformed into meaningful business value.
• Establish the framework for how data is governed, managed, and leveraged across the organization.
• Lead business intelligence and enterprise reporting initiatives.
• Standardize KPIs, dashboards, scorecards, and reporting methodologies.
• Transform organizational data into actionable insights that drive strategic and operational decisions.
• Strengthen enterprise confidence in analytics and performance reporting.
• Lead the enterprise AI strategy, roadmap, automation initiatives, and innovation efforts.
• Identify and prioritize high-value AI opportunities across the organization.
• Establish governance, standards, and best practices for AI implementation.
• Ensure AI initiatives align with organizational priorities, enterprise architecture, and measurable business outcomes.
• Partner with operational divisions and shared services to standardize data practices and operational processes.
• Eliminate fragmented or duplicative data management practices.
• Ensure consistency from point-of-entry through enterprise reporting and analytics.
• Build scalable approaches that support growth, efficiency, and operational excellence.
• Serve as the connective layer between Strategy & Execution, IT Operations, Informatics, Operations, Shared Services, and organizational leadership.
• Ensure data, AI, automation, and technology platforms function as one connected ecosystem.
• Lead enterprise AI adoption, education, coaching, and change management.
• Support leaders and teams in practical application of AI and automation.
• Develop repeatable frameworks for evaluating, piloting, implementing, and scaling AI capabilities.
• Foster a culture of innovation, continuous improvement, and responsible AI use.

Qualifications

• 7-10+ years of experience in data governance, analytics, informatics, data strategy, or related leadership roles.
• Strong understanding of data architecture, reporting, and operational workflows.
• Experience leading enterprise-wide governance and standardization initiatives.
• Healthcare, senior living, or multi-site operational experience preferred.
• Proven leadership and cross-functional collaboration experience.