Director Enterprise Analytics and Modeling

Connecticut Children's Medical CenterHartford, CT
2d

About The Position

The 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.

Requirements

  • Education: Master’s degree in Industrial Engineering, Data Science, Statistics, Business Analytics, or a related field.
  • Experience: Minimum of five (5) years of demonstrated success in healthcare analytics and modeling.
  • Knowledge Deep understanding of system-level analytics and artificial intelligence (AI) model development and deployment.
  • Expertise in integrating analytics and AI solutions across diverse business functions through collaboration with cross-functional teams and partners.
  • Strong awareness of emerging AI technologies and trends, with the ability to evaluate and align them with organizational strategy.
  • In-depth knowledge of business planning and its implications on analytics and AI strategy.
  • Proficient in software tools and spreadsheet applications related to process mapping, workflow optimization, and process design/redesign.
  • Committed to continuous learning and staying current with cutting-edge AI research and real-world applications.
  • Skills Advanced analytical and modeling skills, with the ability to apply insights to complex business challenges.
  • Strong project management skills, including stakeholder identification, resource coordination, timeline management, and effective delivery of outcomes in a fast-paced, high-pressure environment.
  • Exceptional leadership skills, including mentoring, coaching, and inspiring teams, as well as building trust and fostering alignment across direct and matrixed teams.
  • Highly effective communicator with strong interpersonal skills for building collaboration, driving team engagement, and navigating changing priorities.
  • Proven ability to manage multiple, time-sensitive initiatives simultaneously while maintaining high standards of quality and execution.
  • Demonstrated strength in change management and driving organizational adaptation to new technologies and strategies
  • Strong team-building capabilities, with a track record of contributing as both a leader and collaborative team member.
  • Abilities Ability to translate complex AI and data concepts into practical, business-aligned strategies and initiatives.
  • Demonstrates a strong sense of ownership and accountability for outcomes, even under shifting priorities and tight deadlines.
  • Capable of operating independently with minimal guidance, while effectively managing competing priorities in a dynamic environment.
  • Natural aptitude for strategic foresight, enabling quick adaptation to technological advances and evolving business needs.

Nice To Haves

  • Education: Doctorate in one of the aforementioned fields.
  • Experience: Two (2) to three (3) years of experience working with complex systems issues such as patient safety, quality, strategic initiatives, or operational projects.
  • Two (2) to three (3) years of experience teaching or developing curriculum in statistics or advanced modeling.
  • License and/or Certification Preferred:
  • Black Belt Certification in Lean/Six Sigma.

Responsibilities

  • Strategic Leadership & Governance-25%
  • 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.
  • Program & Team Development-25%
  • 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.
  • Analytics & AI Deployment-25%
  • 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) to enhance care delivery, patient safety, and operational efficiency.
  • Measure ROI and business value of data, analytics, and AI initiatives, ensuring alignment with strategic priorities.
  • Oversee and manage a portfolio of enterprise analytics and AI projects, including prioritization, sponsorship, resourcing, and barrier removal to ensure timely completion and sustained outcomes.
  • Evolve the current analytics operating model and engage stakeholders to align expectations on analytics deliverables.
  • Support the implementation of a population health strategy through advanced data analytics and monitoring.
  • Eliminate wasteful reporting practices and encourage efficient, value-added analytics strategies.
  • Collaboration & Partnership-25%
  • Partner with the Connecticut Children’s Research Institute, Division of Excellence in Patient Safety and Clinical Quality, Information Systems, and other stakeholders to architect and optimize the technology landscape, platforms, and ecosystems.
  • Co-lead the Analytical Resource Center with Information Systems, ensuring an enterprise strategy across the full value stream — from data extraction and definitions to measuring whether changes made a difference.
  • Consult with administrative, clinical, and physician leaders to build value-added relationships and provide solutions to complex analytics and AI challenges.
  • Partner with Operational Excellence to align data definitions, embed statistical rigor into improvement projects, and to eliminate wasteful data collection and reporting
  • Recommend appropriate “right-sized” software and tools, in partnership with Information Systems, to deliver on enterprise analytics and AI requirements.
  • Develop and maintain strong, positive relationships across departments to promote alignment, adoption, and sustainability of analytics practices.
  • Performs Other Duties as Assigned.
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