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        Manager, Business Intelligence
- Guthrie (Sayre, PA)
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             Summary: The Manager, Business Intelligence (BI) will work as part of the Strategic Insights team to turn data into actionable information for caregivers. In this role, you will lead a high-performing team of BI Developers and Sr. Developers in delivering innovative analytics solutions that support clinical, operational, and strategic decision-making across the organization. This role is responsible for overseeing day-to-day team operations, prioritizing tasks, managing stakeholder relationships, and ensuring the quality and effectiveness of BI deliverables. Working with the Director, Strategic Insights the Manager will play a key role in evolving analytic capabilities across the enterprise, advancing the organization’s data strategy, fostering innovation, and promoting a culture of data-driven excellence. Experience: + 5+ years of experience in business intelligence, data analytics, or data science. + 2+ years of experience in a leadership or supervisory role within a BI or analytics team. + Proven experience in designing and deploying BI solutions using tools such as Power BI, Tableau, Epic Clarity, and Qlik Sense. + Strong understanding of relational databases, data modeling, and ETL processes. + Experience working with healthcare data and familiarity with EMR systems (e.g., Epic) preferred. + Knowledge of data governance principles and healthcare regulatory requirements (e.g., HIPAA), preferred. + Excellent leadership, communication, and stakeholder management skills. + Strong analytical and problem-solving abilities. + Ability to manage multiple projects and prioritize tasks effectively. + High attention to detail and commitment to data quality and integrity. Education: + Bachelor’s degree in Information Technology, Computer Science, Data Science, Business Administration, or a related field required. + Master’s degree preferred. Licenses/Certifications: + Epic Certification in Clarity/Caboodle Data Model preferred. + Microsoft Certified: Power BI Data Analyst, Fabrics Analytics Engineer, or Fabrics Data Engineer preferred. + Certification in data governance or related areas (e.g., CDMP, DM-BOK) is a plus. Essential Functions: + BI Team Leadership & Management + Supervise and mentor BI Developers and Sr. BI Developers, fostering professional growth and collaboration. + Manage daily team operations, including task assignments, workload balancing, and performance monitoring. + Conduct regular team meetings to review progress, address challenges, and align priorities. + Provide regular updates to the Director, Strategic Insights on team status. + Project & Task Prioritization + Oversee the intake, scoping, prioritization, and tracking of BI requests and projects. + Ensure timely delivery of analytics solutions that meet business needs and quality standards. + Coordinate with the Director, Strategic Insights to align team efforts with organizational goals. + Stakeholder Engagement + Serve as a liaison between the BI team and internal stakeholders, including clinical, operational, and technical leaders. + Facilitate requirements gathering sessions and translate business needs into actionable analytics initiatives. + Communicate project status, timelines, and outcomes clearly and effectively. + Analytics Strategy & Oversight + Work with the Director, Strategic Insights to align and evolve team capabilities in line with the strategic goals of the organization. + Guide the development and deployment of dashboards, reports, and advanced analytics solutions. + Aligning with the enterprise data strategy, ensure consistency in data modeling, visualization standards, and documentation across the team. + Promote alignment with the overall enterprise data strategy and industry best practices in analytics design, performance optimization, and user experience. + Data Governance & Quality Assurance + Support the Data Governance team and data governance initiatives by enforcing standards for data integrity, security, and compliance. + Collaborate with IT, compliance, and data governance teams to ensure adherence to regulatory requirements (e.g., HIPAA). + Monitor and improve data quality processes, including validation, cleansing, and enrichment. + Innovation & Advanced Analytics + Encourage the exploration and adoption of emerging technologies and methodologies (e.g., AI, machine learning, cloud analytics). + Oversee the development of predictive models and other advanced analytics use cases. + Evaluate the impact of analytics solutions and recommend enhancements. + Documentation & Training + Ensure comprehensive documentation of BI solutions, processes, and governance protocols. + Promote data literacy and provide training to stakeholders on BI tools and data interpretation. 
 
 
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