Oversee the development, maintenance, and governance of visual performance dashboards for Corporate Services and Finance functions to monitor key service delivery metrics. Manage data visualization tools and platforms, including Tableau, Power BI, and Smartsheet, ensuring effective reporting and data-driven decision-making. Ensure data accuracy, integrity, and governance across various reporting systems. Oversee technical project execution to meet business needs effectively. Manage, monitor and govern automation solutions to enhance efficiency and reduce manual effort. Oversee the design and implementation of automation solutions to enhance process efficiency and support improvement initiatives. Leverage automation tools such as Power BI, Power Query, Power Automate, Power Apps, Smartsheet, Tableau, and SharePoint to streamline workflows and optimize business processes. Oversee data collection, aggregation, and analysis from various systems and data warehouses. (Cvent, Concur, SAP, etc.) Lead the development of reports and analytics to support strategic decision-making and business operations. Address ad-hoc data analytics requests to support functional leaders. Manage AI automation and maintenance for intake and AI self-service platforms/tools such as ServiceNow.. Find opportunities for AI-driven improvements in data management and business process automation. Partner with Technology teams to ensure seamless data integrations and system configurations to ensure standardized data connectivity and enforce data governance policies. Support functional leaders by proactively identifying trends, conducting investigations, and recommending data-driven improvements. Assist functions in monitoring key functional metrics to monitor performance in delivery to customer, business performance, and operational efficiency. Prepares monthly/quarterly/yearly metrics for Corporate Services leadership team on overall activities Manage and oversee the development and maintenance of data analytic queries, data stores, and standardized/custom report layouts. Ensure the creation and governance of a library of executive report formats, aligning reporting processes with business objectives and collaborator requirements. Evaluate algorithms using methodologies such as regression, classification, clustering, prediction Identify and monitor both recurring reporting requirements and assigned and ad hoc project progress by tracking activity; resolving problems; publishing progress reports; recommending actions Conduct insightful, ad hoc analyses to investigate ongoing or one-time operational issues Provide coaching and professional development to enhance the teams technical and analytical capabilities. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree in Data Analytics, Computer Science, Business, or a related field & 2 years of data analysis, automation or business intelligence experience OR Master s degree and 4 to 6 years of Data Analytics, Computer Science, Business, or a related field & 4 years data analysis, automation or business intelligence experience OR Bachelor s degree and 6 to 8 years of Data Analytics, Computer Science, Business, or a related field or & 6 years data analysis, automation or business intelligence experience OR Diploma and 10 to 12 years of Data Analytics, Computer Science, Business, or a related field & 10 years data analysis, automation or business intelligence experience Preferred Qualifications: Proficiency in data analytics and visualization tools such as Tableau, Power BI, and/or Smartsheet. Strong knowledge of automation platforms & applications, including Microsoft Power Platform suite & workflows (SharePoint, Power Automate, PowerQuery, PowerApp, Pages, etc.) Proficiency in programming languages such as Python, R, and JSON Experience with AI-driven analytics and large learning models (LLM) Experience with self-service platforms such as ServiceNow. Proficiency in enterprise data governance principles Experience with SQL and NoSQL databases, including designing and optimizing relational tables, indexing strategies, and complex queries. Proficient in working with big data models, data lakes, and distributed computing frameworks to support scalable and high-performance data processing. Familiarity with additional automation tools, such as UiPath and emerging AI technologies Strong project management and multitasking skills, with the ability to handle multiple requests simultaneously. Knowledge of Waterfall and AGILE project management methodologies Basic understanding of Improvement In Execution Frameworks Strong data visualization skills, formulating data and ideas into concise and meaningful visual communication in tools such as creating dashboards, executive reports, infographics, etc. Strong knowledge of statistical techniques: regression, clustering, classification. Strong knowledge of data discovery and visualizations techniques: distributions, histograms, bar plot charts Demonstrated initiative (self-starting) and influencing without authority Strong attention to detail and the ability to work across multiple projects and regions simultaneously Excellent verbal, written, and interpersonal communication skills, including the ability to concisely present various subjects to leadership and coordinate all functional leads to provide requested data/updates Strong communication and collaborator management skills. Experience in People Management