Provide leadership in all facets of data management. Provide the vision and strategy for data management activities, developing policies and procedures for data in an active research setting.
Provide leadership, management, operational oversight and support in planning, designing, and implementing complex grant- and contract-based research projects in relation to the creation and delivery of algorithms, toolsets and workflows to enhance data products and business solutions and define data frameworks and data modelling techniques for core Center data applicable to research projects.
Collaborate closely with other assistant directors in the development of proposals and research plans including methodologies, estimates of effort, deliverables/milestones, timelines, and statements of work as they relate to data science and data management and effectively lead team members in the development of creative solutions for designing, implementing, and supporting a variety of user data systems and tools.
Provide scientific and technical leadership and expertise and be able to actively contribute to data management and analysis activities across units within the Center in the creation of an eco-system of tools, applications and processes to support funded grant and contract research activities while demonstrating strong analytical skills and experience with distributed platforms, engines and tools, data modelling, and predictive modelling.
Actively participate in center strategic planning activities and direct the implementation of goals, objectives, policies, procedures, and word standards for the information management and database functions in the Center and working to develop, evaluate, enhance, and/or implement quality improvement practices, processes, and procedures for conduction grant- and contract-based research.
Provide leadership and enterprise-level consulting within the
Center on the design, development and implementation of databases, logical data models, linkages between datasets, classification schemas, data architecture, data integrity, big data transformation, enterprise data development and architecture, and technical product management.
Serve as an expert resource and thought leader to advice on best practices across the data spectrum, actively contribute to planning for further development and monitor and interpret changes in policies and regulations related to the technical architecture of complex data frameworks, and the engineering of a continuous design, development, and testing lifecycle for data-driven solutions to practical problems within the center and evaluate the impact of existing processes, procedures and policies upon center activities to effectively develop and draft changes as required and ensure implementation after approval.