Description

　　The Assistant Director, Ambulatory Reporting & Analytics, will assume a pivotal role in directing and overseeing strategic and tactical decisions for UCLA Health Clinics' business intelligence tools and applications. This leadership position involves building and managing a dynamic team of developers and analysts dedicated to gathering requirements and crafting advanced analytic solutions in support of UCLA Health's extensive network of 280 clinics, handling over 3 million visits annually.

　　As the visionary leader, the Assistant Director will be responsible for steering the team that develops, communicates, and implements the Ambulatory Analytics strategy, aligning closely with the directives set by senior leadership. This involves leveraging cutting-edge tools such as Cogito Data Warehouse, Clarity, Reporting Workbench, Tableau, Power BI, SSRS, SSAS, Slicer Dicer, and xDR.

　　In collaboration with various stakeholders, including end-users, application teams, Epic TSs, Super Users, FPG teams, and others, the incumbent and their team will play a crucial role in optimizing existing analytics, architecture, and technology. The Assistant Director will lead efforts to identify opportunities for improvement and the adoption of new technology, working closely with teams to collect, interpret, analyze, and present institutional data.

　　Moreover, the Assistant Director will provide expert guidance in technical aspects, managing and mentoring the development of data modeling. This encompasses the entire lifecycle, including design, development, and documentation of the model, as well as the creation of associated metrics and information delivery models. By embodying a commitment to excellence, the Assistant Director will play a key role in shaping the future of Ambulatory Analytics at UCLA Health.

　　Salary Range: $105,200- $250,600Qualifications

　　Required

　　Bachelor's degree in a clinical subject, healthcare informatics, or related area and / or equivalent combination of experience / training (masters preferred)

　　EPIC Data model certification (May be obtained within 6 months of hire date)

　　7+ years of previous experience managing analytics or reporting services functions and teams in a healthcare environment

　　Leadership and managerial track record

　　Leadership in Project management and process track record

　　Extensive knowledge of best practices regarding reporting, workflows, policies, procedures, systems and culture in the healthcare environment

　　Strong knowledge of data warehouse concepts, data structures, Business Intelligence platforms and visualization packages

　　Experience managing front-end Business Intelligence tools and building reports

　　Senior-level knowledge of SAP Business Objects architecture, functions, features, and capabilities

　　Understanding of SQL as well as relational and multidimensional designs

　　Experience in gathering, documenting, prioritizing and tracking requirements

　　Ability to translate business questions and requirements into reports, views, and BI query objects

　　Strong problem-solving and metadata skills

　　Strong interpersonal and communications skills

　　Organizational skills and customer service orientation

　　Demonstrated ability to influence and shape consensus, lead group discussions and presentations to clinical and business operations leaders from across the organization

　　Ability to establish and maintain a spirit of cooperation and respect, flourish in an unstructured environment, and always engage in professional and ethical conduct

　　Ability to remain calm in difficult and stressful situations

　　Must recognize problems, evaluate, and refer to the appropriate channels for action

　　High functioning team skills, including active listening, rapport building, effective written & verbal communication, receiving and delegating work assignments

　　Ability to probe for information about the underlying needs of the organization

　　Ability to identify, document, resolve and/or escalate issues and maintain a complete issues log

　　Ability to research organize, analyze, and synthesize data to support effective decision making

　　Ability to manage multiple and competing tasks

　　UCLA Health welcomes all individuals, without regard to race, sex, sexual orientation, gender identity, religion, national origin or disabilities, and we proudly look to each person’s unique achievements and experiences to further set us apart.