Director Enterprise Intelligence and Decision Support

Connecticut Children's•Hartford, CT

1d•$80 - $115

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 help clinical, operational, financial, and executive leaders make informed, data-driven decisions. The Director establishes the enterprise vision, strategy, governance, and operating model for the function, and builds an enterprise-facing program that delivers actionable intelligence, supports performance improvement, and helps leaders apply data to strategic, operational, financial, and clinical decisions. The Director serves as a strategic partner to the Enterprise Performance Office, executive leadership, Information Solutions (IT), and clinical, operational, financial, and quality leaders. The role advances performance improvement and organizational transformation, supporting Connecticut Children's goal of becoming a data-informed organization. The Director is accountable for strategic, operational, financial, technical, and human resource management of the Enterprise Intelligence and Decision Support organization. The position leads business intelligence and decision support, enterprise data engineering and integration, enterprise strategy and partnerships, and organizational leadership. Responsibilities include oversight of the Enterprise Data Warehouse, enterprise data integration platforms, Epic Cogito reporting environment, and enterprise data architecture, along with workforce development, governance, modernization, and adoption of decision support capabilities.

Requirements

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 frameworks, including data stewardship, standardization, and data quality management.
Knowledge of enterprise data warehousing, data integration, and ETL/ELT methodologies.
Knowledge of the Epic Cogito reporting ecosystem (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 build trust and respect.
Ability to drive continuous improvement and lean activities.
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 in 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 make business recommendations.
Ability to develop effective matrix relationships and work with all organizational levels, providing appropriate guidance 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 provide analytics that measure partnership success and leverage external resources.

Nice To Haves

Advanced degree in a relevant field.
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, targets, and enterprise metrics.
Promote 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 across Connecticut Children's.
Lead education, training, and adoption initiatives, including role-based programs that improve data literacy and use of decision support capabilities.
Provide executive leadership for Enterprise Data Engineering, including the Enterprise Data Warehouse, data integration platforms, Epic Cogito reporting environment, and enterprise data architecture.
Develop and execute an enterprise data strategy for scalable, secure, reliable, and high-performing decision support.
Oversee the design, implementation, optimization, and lifecycle management of the Enterprise Data Warehouse.
Direct data integration initiatives, including ETL/ELT development, APIs, interoperability solutions, data pipelines, and integration of Epic and non-Epic data sources.
Oversee Connecticut Children's Epic Cogito ecosystem, including Clarity, Caboodle, Reporting Workbench, Radar Dashboards, and Slicer Dicer.
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 leadership to optimize data platforms and expand decision support.
Ensure enterprise data assets meet standards for quality, integrity, consistency, availability, timeliness, privacy, and security.
Modernize the enterprise data platform by evaluating and implementing technologies that strengthen intelligence, automation, artificial intelligence, machine learning, and advanced analytics.
Drive adoption of standardized enterprise reporting and decision support tools, reduce report duplication, and maintain a consistent enterprise-wide source of truth.
Develop and execute the enterprise vision, strategy, and business case for Enterprise Intelligence and Decision Support in alignment with organizational 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.
Build partnerships across executive leadership, the Enterprise Performance Office, 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 a performance management framework integrating improvement methodologies with enterprise strategy and strategic projects.
Create transparent governance processes that prioritize initiatives and balance organizational demand with resource allocation.
Develop data governance strategies that establish accountability for data ownership, stewardship, standardization, quality, and regulatory compliance.
Recommend strategic investments and operational improvements based on intelligence, benchmarking, forecasting, and performance analysis.
Lead and develop the organization through coaching, mentoring, succession planning, employee engagement, and professional development.
Set 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.
Champion advanced, predictive, and other analytics, artificial intelligence, machine learning, and automation to enhance decision support and operational performance.
Perform other duties as assigned.