Director, Enterprise Intelligence and Decision Support

Connecticut Children's

Director leading enterprise intelligence, business intelligence, and data engineering for Connecticut Children’s pediatric health system. Enabling clinical, operational, financial, and executive data-driven decisions.

Posted 8/24/2026full-timeHartford • Connecticut • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading Business Intelligence initiatives, data governance, and enterprise data management within healthcare environments. Proficient in developing data strategies, ensuring data quality, and leveraging advanced analytics technologies to drive operational improvements.

Highest-signal resume keywords

Business Intelligence LeadershipData Governance FrameworksETL/ELT MethodologiesEpic Cogito ReportingHealthcare Data Privacy

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data WarehousingData IntegrationPerformance AnalysisData Quality ManagementContinuous Process ImprovementAdvanced AnalyticsMachine LearningAutomationData VisualizationKey Performance Indicators

Soft Skills

Project ManagementCommunicationProblem-SolvingInterpersonal SkillsFacilitation

Tools & Technologies

Epic CogitoData Integration PlatformsEnterprise Data WarehouseData PipelinesAPIs

Certifications & Qualifications

Six Sigma Certification

Industry Keywords

Healthcare EnvironmentRegulatory ComplianceData StewardshipData LiteracyOperational Efficiency

Tech Stack

Tools & technologies

ETL

About the role

Key responsibilities & impact

Establish and lead an enterprise Business Intelligence and Decision Support program
Direct Business Intelligence Analysts and translate organizational priorities into dashboards, scorecards, performance measures, and decision support solutions
Align Business Intelligence resources through intake, prioritization, and governance processes
Define key performance indicators, performance targets, and enterprise metrics with organizational leaders
Support improvements in quality, patient safety, operational efficiency, financial performance, and regulatory compliance
Establish standards for dashboards, scorecards, reports, data visualizations, standardized metrics, and a single source of truth
Promote standardized reporting, self-service business intelligence, and data literacy
Lead enterprise education, training, and adoption initiatives
Provide executive leadership for enterprise data engineering, the Enterprise Data Warehouse, data integration platforms, Epic Cogito, and enterprise data architecture
Develop and execute enterprise data strategy and oversee data warehouse design, implementation, optimization, and lifecycle management
Direct ETL/ELT, APIs, interoperability solutions, data pipelines, and Epic/non-Epic data integration
Govern enterprise data assets and Epic reporting content, including metric definitions, metadata, master data, lifecycle management, and change control
Ensure data quality, integrity, consistency, availability, timeliness, privacy, and security
Modernize enterprise data platforms using automation, artificial intelligence, machine learning, and advanced analytics
Develop the enterprise vision, strategy, business case, governance framework, operating model, architecture, staffing model, and budget
Advise senior leadership and partner with clinical, operational, financial, quality, research, and Information Solutions teams
Establish enterprise performance management and data governance frameworks
Recommend strategic investments and operational improvements using benchmarking, forecasting, and performance analysis
Lead organizational coaching, mentoring, succession planning, employee engagement, professional development, goals, service levels, and continuous improvement
Perform other duties as assigned

Requirements

What you’ll need

BA or BS 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 healthcare clinical, operational, financial, and regulatory environments
Knowledge of data governance, data stewardship, standardization, and data quality management
Knowledge of enterprise data warehousing, data integration, and ETL/ELT methodologies
Knowledge of Epic Cogito reporting ecosystem or comparable EHR-based reporting and analytics platforms
Knowledge of healthcare data privacy and security regulations, including HIPAA
Knowledge of emerging analytics technologies, automation, artificial intelligence, and machine learning
Strong project management, organizational, presentation, facilitation, problem-solving, conflict-resolution, communication, and interpersonal skills
Ability to perform complex analytics, identify trends, interpret data, and drive business recommendations
Ability to work with all organizational levels and external affiliated business partners
Six Sigma certification preferred

Benefits

Comp & perks

Professional development
Employee engagement and succession planning opportunities
Monday–Friday, 8:00 a.m.–5:00 p.m. schedule