Sr Director Shields Enablement - Explore

The role is responsible for leading the growth and management to bring Platform data and data science capabilities and services internally to Mayo Clinic staff. Platform data and data science capabilities and services include but are not limited to access to de-identified data, data analytic applications like cohort visualizer, annotation, data dictionary, data science workspaces, model refinement and validation. The combination of Mayo Clinic experts and Platform data and technology will enable new knowledge, solutions, and discovery of novel clinical and research insights. The position will be responsible for the following essential functions:

Strategy

• Partner with Mayo Clinic’s research and practice leadership (clinical trials, IRB, etc) to identify strategic tactics to leverage Platform’s capabilities and ecosystem to advance discovery, translation, and clinical trials research activity at Mayo Clinic.
• Create an inclusive and collaborative culture that will drive the team(s) to achieve and surpass targets, goals, and objectives. Example targets include: number of patient lives impacted by Platform capabilities, number of peer reviewed publications, number of digital solutions developed and deployed within Mayo Clinic, number of novel therapeutics or advanced diagnostics created leveraging Platform data, services, or capabilities.
• Develop and implement strategy to scale Platform capabilities within Mayo Clinic
• Inform Platform’s R&D data and technology roadmap by collating, documenting Mayo Clinic staff feedback
• Provide strategic oversight of Mayo Clinic staff engagements, operations, and provide applicable support in all aspects of the program
• Modify the packaging and delivery of Platform capabilities to better meet the specific needs of Mayo Clinic
• Monitor the broader data, data science, innovation, and research ecosystem at Mayo Clinic to better understand how and where Platform can provide value
• Collaborate with the leadership team to develop and implement plans for the operational infrastructure of systems, processes, and people designed to accommodate the rapid growth objectives of our organization
• Build relationships and drive partnerships with the key staff and influencers across Mayo Clinic

Execution

• Drive operations planning, strategy, implementation, execution and continuous improvement for research, innovation, and clinical projects prioritized by Mayo Clinic staff that leverage Platform’s de-identified data, data science applications and workspaces to create new clinical and research insights
• Drive efforts to scale the data discovery program
• Foster a culture of operational excellence through the development of processes and tools and metrics-based KPIs for successful operations of the program
• Support adoption of new data, data science applications, workspaces, technologies and tools to optimize for user experience in the program
• Determine need for new capabilities based on budget, Mayo Clinic needs, and improvements in technology
• Ensure alignment with other teams in the Mayo Clinic Platform

The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added or assigned.

• Bachelor's degree in relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative fields. 
• Minimum of 8 years of experience in a data analytics or informatics role
• Advanced technical skills within common analytic toolsets and ability to adapt to new technologies
• Strong knowledge of technology at the intersection of services and software, especially healthcare information systems.
• Deep understanding of informatics, data, and statistics.
• Deep expertise in the use of scientific computing and data management packages
• Working knowledge of data governance, regulatory compliance, and privacy policies and best practices.
• Creative thinker who can quickly develop innovative ideas.
• Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or datamining techniques. 
• Demonstrated ability to independently manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. 
• Flexible and able to multitask; can work within an ambiguous, fast-moving environment, while also driving toward clarity and solutions; demonstrated resourcefulness in setting priorities and guiding investment