AVP Data & Analytics Job Listing at MedStar Medical Group in Columbia, MD (Job ID req41345)

Description

The Assistant Vice President (AVP) of Data and Analytics is critical for driving the vision and execution of the Digital Transformation data and analytics strategy and enabling data-driven decision-making across the Digital Transformation portfolio. As the AVP of Data and Analytics, he/she provides strategic thought leadership, oversees data analytics and reporting efforts, and mentors a high-performing team of data professionals. Additionally, the AVP of Data and Analytics leverages hands-on expertise for data collection and collation, data modeling, data architecture, and analytics to deliver actionable insights that shape business outcomes. Specific functions include the design and build of data products, dashboards, analyses and reporting for various Digital Transformation programs and initiatives and partnering with key stakeholders to develop detailed data requirements in alignment with MedStar's Enterprise Analytics and other data teams on standards for data governance and reporting.
Education

• Master's degree In related field required and
• Demonstrated expertise operationalizing data governance, data modeling, data stewardship, data quality, and analytics and insights. required and
• Doctoral degree Ph.D. or MD preferred

• 8-10 years In the healthcare data analytics field required and
• 5-7 years managing teams with progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated required

• Extensive hands-on experience with data wrangling, data modeling, and building data architectures.
• Proven experience in driving business intelligence, reporting, and advanced analytics to provide actionable insights.
• Demonstrated ability to manage, mentor, and grow a diverse data and analytics team.
• Strong experience with data analytics tools (e.g., Tableau, Power BI, SQL, Python, R, etc.), as well as experience with data engineering and ETL processes. Familiarity with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
• Exceptional written and verbal communication skills and experience creating high impact presentations, intuitive and well-structured reports and dashboards, and deep-dive analyses.
• Ability to provide guidance to analytics to produce high value dashboards, analyses and statistical models for clinical use.
• Strong project management skills needed to organize and manage multiple data initiatives simultaneously.
• Demonstrated ability to communicate with c-suite executives and work collaboratively across the organization using active listening and consensus-building.