Director Enterprise Intelligence and Decision Support

Connecticut Children's Medical Center•Hartford, CT

About The Position

The Director, Enterprise Intelligence and Decision Support provides strategic leadership for Connecticut Children's enterprise intelligence, decision support, business intelligence, and data engineering functions. The role delivers trusted enterprise data and analytics capabilities that enable clinical, operational, financial, and executive leaders to make informed, data-driven decisions. The Director establishes an enterprise-facing program that provides actionable intelligence, supports organizational performance improvement, and helps leaders interpret and apply data in strategic, operational, financial, and clinical decision-making. The Director sets the enterprise vision, strategy, governance, and operating model for the function. As a strategic partner to the Enterprise Performance Office, executive leadership, Information Solutions (IT), and clinical, operational, financial, and quality leaders, the Director aligns enterprise intelligence capabilities with organizational priorities and advances the organization's goal of becoming data-informed. The position is accountable for the strategic, operational, financial, technical, and human resource management of the Enterprise Intelligence and Decision Support organization. The role leads business intelligence and decision support; provides executive oversight for data engineering, the Enterprise Data Warehouse, data integration platforms, Epic Cogito reporting, and enterprise data architecture; and develops enterprise governance, strategy, partnerships, and performance capabilities. The Director also leads and develops the organization, establishes operational goals and service expectations, and champions advanced analytics, predictive analytics, artificial intelligence, machine learning, and automation.

Requirements

Bachelor of Arts or Bachelor of Science in Computer Science, MIS, Business, or another related field.
Minimum of 8–10 years working in data warehousing and Business Intelligence, preferably in a healthcare environment.
Demonstrated experience in continuous process improvement.
Demonstrated experience as an internal consultant to management and staff.
Knowledge of business intelligence, data engineering, and enterprise data management principles and practices.
Knowledge of the healthcare industry, including clinical, operational, financial, and regulatory environments.
Knowledge of data governance frameworks, including data stewardship, standardization, and data quality management.
Knowledge of enterprise data warehousing, data integration, and ETL/ELT methodologies.
Knowledge of Epic Cogito (Clarity, Caboodle, Reporting Workbench, Radar, SlicerDicer) or comparable EHR-based reporting and analytics platforms.
Knowledge of healthcare data privacy and security regulations, such as HIPAA.
Knowledge of emerging analytics technologies, including automation, artificial intelligence, and machine learning applications.
Ability to establish and maintain effective client relationships and gain trust and respect.
Ability to drive continuous improvement and lean activities to improve organizational effectiveness.
Strong project management and organizational skills, bias for action, and results orientation.
Excellent presentation and facilitation skills.
Strong problem-solving and conflict-resolution skills.
Strong interpersonal savvy and composure, especially during critical events.
Excellent communication and interpersonal skills, with a strong customer service orientation.
Ability to deal with ambiguity and cope with change.
Ability to think strategically and understand clients' underlying business and organizational issues.
Ability to build effective partnerships with leadership teams and employees.
Ability to perform complex analytics, identify trends, and interpret data to drive business recommendations.
Ability to develop effective matrix relationships and work with all organizational levels, determining the appropriate level of guidance and support as a functional expert or business partner.
Ability to work with external affiliated business partners and associations, including the Connecticut Hospital Association and Children's Hospital Association, to measure partnership success and leverage external resources.

Nice To Haves

Advanced degree in relevant field(s).
Six Sigma certification.

Responsibilities

Establish and lead an enterprise Business Intelligence and Decision Support program that provides actionable, timely, trusted, and visually compelling information to clinical, operational, financial, and executive leaders.
Direct Business Intelligence Analysts who partner with clinical and business operations to translate organizational priorities into dashboards, scorecards, performance measures, and decision support solutions.
Align Business Intelligence resources with organizational priorities through structured intake, prioritization, and governance processes.
Partner with data stewards and physician, nursing, operational, finance, quality, and administrative leaders to define key performance indicators, performance targets, and enterprise metrics.
Foster a consultative decision support model that helps leaders identify opportunities to improve quality, patient safety, operational efficiency, financial performance, and regulatory compliance.
Establish enterprise standards and best practices for dashboards, scorecards, reports, data visualizations, and standardized metrics.
Promote standardized reporting, self-service business intelligence, and data literacy throughout Connecticut Children's.
Lead education, training, and adoption initiatives, including role-based training programs that improve data literacy and adoption of decision support capabilities.
Provide executive leadership for the Enterprise Data Engineering organization, including the Enterprise Data Warehouse, enterprise data integration platforms, Epic Cogito reporting environment, and enterprise data architecture.
Develop and execute an enterprise data strategy that enables scalable, secure, reliable, and high-performing decision support capabilities.
Oversee the design, implementation, optimization, and lifecycle management of the Enterprise Data Warehouse for reporting, decision support, clinical quality, finance, population health, research, and strategic initiatives.
Direct enterprise data integration initiatives, including ETL/ELT development, APIs, interoperability solutions, data pipelines, and integration of Epic and non-Epic data sources.
Oversee the Epic Cogito ecosystem, including Clarity, Caboodle, Reporting Workbench, Radar Dashboards, and Slicer Dicer, ensuring alignment with enterprise reporting and organizational requirements.
Establish governance for enterprise data assets and Epic reporting content, including metric definitions, report lifecycle management, metadata management, master data management, and change control.
Collaborate with Epic application teams, Information Solutions infrastructure teams, the Enterprise Performance Office, and operational leaders to optimize data platforms and expand decision support capabilities.
Ensure enterprise data assets meet standards for quality, integrity, consistency, availability, timeliness, privacy, and security through governance and quality management practices.
Modernize the enterprise data platform by evaluating and implementing technologies that strengthen enterprise intelligence, automation, artificial intelligence, machine learning, and advanced analytics.
Drive adoption of standardized enterprise reporting and decision support tools, reduce report duplication, and ensure a consistent enterprise-wide source of truth.
Develop and execute the vision, strategy, and business case for Enterprise Intelligence and Decision Support in alignment with Connecticut Children's strategic priorities.
Establish the governance framework, operating model, technical architecture, staffing model, and budget for enterprise intelligence, decision support, business intelligence, data engineering, and enterprise reporting.
Advise senior leadership on enterprise intelligence, decision support, and data strategy, aligning organizational priorities with technology-enabled information solutions.
Build partnerships across the Enterprise Performance Office, executive leadership, data stewards, physicians, nursing, finance, operations, quality, research, and Information Solutions to align initiatives with strategic objectives.
Partner with the Enterprise Performance Office to establish and sustain an enterprise performance management framework integrating performance improvement methodologies with strategy and strategic projects.
Establish transparent governance processes that prioritize initiatives and balance organizational demand with resource allocation to maximize enterprise value.
Develop enterprise data governance strategies establishing accountability for data ownership, stewardship, standardization, data quality, and regulatory compliance.
Recommend strategic investments and operational improvements based on enterprise intelligence, benchmarking, forecasting, and performance analysis to improve patient outcomes, operational efficiency, and financial sustainability.
Lead and develop a high-performing organization through leadership, coaching, mentoring, succession planning, employee engagement, and professional development.
Establish operational goals, service level expectations, performance metrics, and continuous improvement objectives for Business Intelligence, Data Engineering, and Decision Support teams.
Lead multidisciplinary initiatives with broad organizational impact and influence enterprise-wide strategic decisions through collaboration and executive leadership.
Champion advanced analytics, predictive analytics, artificial intelligence, machine learning, and automation to enhance decision support and operational performance.
Perform other duties as assigned.