Director Enterprise Intelligence and Decision Support

Connecticut Children's Medical Center•Hartford, CT

13d

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, delivering 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 business intelligence and decision support program that delivers actionable intelligence, supports organizational performance improvement, and helps leaders effectively 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 enterprise intelligence and decision support function. The Director serves as a strategic partner to the Enterprise Performance Office, executive leadership, Information Solutions (IT), and clinical, operational, financial, and quality leaders to align enterprise intelligence and decision support capabilities with organizational priorities. Through these partnerships, the Director advances performance improvement, supports organizational transformation, and enables Connecticut Children's vision of becoming a data-informed organization where trusted information improves patient care, operational excellence, financial stewardship, and organizational performance. The Director is accountable for the strategic, operational, financial, technical, and human resource management of the Enterprise Intelligence and Decision Support organization.

Requirements

BA or BS in Computer Science, MIS, Business or other related field.
Minimum of 8-10 years working in the field of 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.
Business intelligence, data engineering, and enterprise data management principles and practices.
Healthcare industry, including clinical, operational, financial, and regulatory environments.
Data governance frameworks, including data stewardship, standardization, and data quality management.
Enterprise data warehousing, data integration, and ETL/ELT methodologies.
Epic Cogito reporting ecosystem (Clarity, Caboodle, Reporting Workbench, Radar, SlicerDicer) or comparable EHR-based reporting/analytics platforms.
Healthcare data privacy and security regulations (e.g., HIPAA).
Emerging analytics technologies, including automation, artificial intelligence, and machine learning applications.
Establish and maintain effective relationships with clients to gain their trust and respect.
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 in critical events.
Excellent communication and interpersonal skills, with a strong customer service orientation.
Deal with ambiguity and cope with change.
Think strategically and understand a client's underlying business and organizational issues.
Build effective partnerships with leadership teams and employees.
Perform complex analytics, identify trend analyses, and interpret data to drive business recommendations.
Develop effective and matrix relationships.
Work with all levels of the organization and determine the appropriate level of guidance and support as either a functional expert or business partner.
Work with external affiliated business partners, as well as associations such as the Connecticut Hospital Association and Children's Hospital Association, to provide analytics that measure partnership success and fully 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 a team of Business Intelligence Analysts who serve as strategic partners to clinical and business operations, translating organizational priorities into dashboards, scorecards, performance measures, and decision support solutions.
Ensure Business Intelligence resources are aligned with organizational priorities through a structured intake, prioritization, and governance process for reporting and decision support initiatives.
Partner with data stewards and physician, nursing, operational, finance, quality, and administrative leadership to define key performance indicators, performance targets, and enterprise metrics.
Foster a consultative decision support model in which analysts proactively support leaders in identifying opportunities to improve quality, patient safety, operational efficiency, financial performance, and regulatory compliance.
Establish enterprise standards and best practices for dashboards, scorecards, reports, and data visualizations, promoting standardized metrics and a single source of truth across the organization.
Promote adoption of standardized reporting, self-service business intelligence, and data literacy throughout Connecticut Children's.
Provide strategic leadership for enterprise education, training, and adoption initiatives, partnering with clinical and business leaders to develop role-based training programs that improve data literacy and increase organizational 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 the enterprise data strategy to enable scalable, secure, reliable, and high-performing decision support capabilities.
Oversee the design, implementation, optimization, and lifecycle management of the Enterprise Data Warehouse, ensuring it supports enterprise 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 into a unified enterprise information platform.
Provide oversight of Connecticut Children's Epic Cogito ecosystem, including Clarity, Caboodle, Reporting Workbench, Radar Dashboards, and Slicer Dicer, ensuring alignment with enterprise reporting, regulatory, operational, financial, and clinical requirements.
Establish governance for enterprise data assets and Epic reporting content, including standardized metric definitions, report lifecycle management, metadata management, master data management, and change control.
Collaborate with Epic application teams, other Information Solutions infrastructure teams, the Enterprise Performance Office, and operational leadership to optimize enterprise data platforms and expand decision support capabilities.
Ensure enterprise data assets meet organizational standards for quality, integrity, consistency, availability, timeliness, privacy, and security through robust governance and quality management practices.
Drive modernization of the enterprise data platform by evaluating and implementing emerging technologies that strengthen enterprise intelligence, automation, artificial intelligence, machine learning, and advanced analytics capabilities.
Drive adoption of standardized enterprise reporting and decision support tools while reducing report duplication and ensuring 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 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.
Serve as an advisor to senior leadership on enterprise intelligence, decision support, and data strategy, ensuring alignment between organizational priorities and technology-enabled information solutions.
Build collaborative partnerships with the Enterprise Performance Office, executive leadership, data stewards, physicians, nursing, finance, operations, quality, research, and Information Solutions to align enterprise intelligence initiatives with strategic objectives, including standardized metrics, executive dashboards, and performance monitoring solutions.
Partner closely with the Enterprise Performance Office to establish and sustain an enterprise performance management framework that integrates performance improvement methodologies with enterprise-level strategy and strategic projects.
Establish transparent governance processes that prioritize enterprise intelligence initiatives and balance organizational demand with resource allocation to maximize enterprise value.
Develop enterprise data governance strategies that establish 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 Enterprise Intelligence and Decision Support organization through effective leadership, coaching, mentoring, succession planning, employee engagement, and professional development.
Establish operational goals, service level expectations, performance metrics, and continuous improvement objectives for the Business Intelligence, Data Engineering, and Decision Support teams.
Lead multidisciplinary initiatives with broad organizational impact and influence enterprise-wide strategic decisions through effective collaboration and executive leadership.
Champion innovation through advanced analytics, predictive analytics, artificial intelligence, machine learning, and automation to enhance enterprise decision support and strengthen operational performance.
Performs Other Duties as Assigned.