Director Enterprise Analytics and Modeling
Listed on 2026-01-12
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IT/Tech
AI Engineer, Data Science Manager, Data Analyst
Director Enterprise Analytics and Modeling
Hartford, CT, United States (Hybrid)
About UsConnecticut Children’s is the only health system in Connecticut that is 100% dedicated to children. Established on a legacy that spans more than 100 years, Connecticut Children’s offers personalized medical care in more than 30 pediatric specialties across Connecticut and in two other states. Our transformational growth establishes us as a destination for specialized medicine and enables us to reach more children in locations that are closer to home.
Our breakthrough research, superior education and training, innovative community partnerships, and commitment to diversity, equity and inclusion provide a welcoming and inspiring environment for our patients, families and team members.
At Connecticut Children’s, treating children isn’t just our job – it’s our passion. As a leading children’s health system experiencing steady growth, we’re excited to expand our team with exceptional team members who share our vision of transforming children’s health and well‑being as one team.
Job DescriptionThe Director of Enterprise Analytics and Modeling is a strategic leader responsible for advancing Connecticut Children’s use of analytics and artificial intelligence (AI) to improve patient safety, quality, and organizational performance. Reporting to the Chief Quality and Patient Safety Officer, this role drives the vision, strategy, and execution of enterprise-wide analytics and AI initiatives. The Director builds and leads a high-performing team, partners with executive and clinical leaders, and ensures that analytics and modeling are effectively integrated into decision-making, operations, and innovation.
This position also plays a key role in shaping a data‑driven culture by teaching, coaching, and mentoring leaders and staff across the organization.
- Co‑develop and execute a comprehensive analytics, AI, and predictive modeling strategy with the Analytics and AI Leadership Strategy Committees, aligned with Connecticut Children’s mission and goals.
- Serve as the organizational source of truth for statistical analyses and advanced modeling, ensuring initiatives are rigorous, reliable, and impactful.
- Partner with executive and clinical leaders to identify, diagnose, and solve organizational challenges using data‑driven insights.
- Act as a liaison between federal/state AI regulations and hospital‑level AI use to ensure appropriate, ethical, and safe implementation, prioritizing patient safety and data privacy.
- Maintain awareness of healthcare and emerging technology trends to ensure Connecticut Children’s remains a leader in patient safety, quality, and innovation.
- Ensure compliance with organizational policies, safety protocols, and health regulations.
- Co‑direct the Transformation Department and lead curriculum design, development, and delivery of advanced analytics modules for the Organizational Excellence Program.
- Build, lead, and mentor a high‑performing team of data scientists, analysts, and AI specialists, creating pathways for growth and development.
- Provide training, coaching, and curriculum development for leaders and staff to strengthen data and statistical literacy.
- Teach and coach participants in the Organizational Excellence Program on data collection, analysis, visualization, and interpretation to support their projects. (30+ annually).
- Train and coach leaders and the Operational Excellence team on data analytics and statistical methodologies to eliminate wasteful data collection and reporting.
- Act as a transformational leader, teaching, coaching, and facilitating teams to embrace a data‑driven culture and drive organizational change.
- Lead the development, deployment, and integration of cutting‑edge analytics and AI solutions into clinical, research, and operational workflows.
- Partner with Operational Excellence to establish shared dashboards, metrics, and evaluation tools that enable real‑time tracking of organizational priorities
- Identify and pursue opportunities for AI/ML applications (including Generative AI)…
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