I help business tell the story of performance and success through enterprise application data architecture, visualization through enterprise data management, business intelligence utilization and consultation with all levels of management to tie corporate vision to strategic execution. Strategic planning demands that measures are based in solid data architecture and they are tied to corporate goals to be relevant for executives, while simultaneously supporting operational metrics that front line management needs to run the business in a way that supports corporate vision. My role is to bridge the gap between high level strategy and operational data use, through data strategy, architecture and effective data management, and then enabling the information from that solution to be presented in scaled interactive dashboard solutions to management. The goal is an efficient and well understood measurement mechanism for the business that provides intuitive access to corporate data to provide internal and external benchmarks that is based on a well managed data foundation.Skills:I engage leadership teams to develop strategy that executes on current and available technologies to bring strategic vision to fruition. I draw on facilitation skills, deep business acumen and a depth of knowledge in data management disciplines and in all facets of current data engineering disciplines including ETL, data modeling, advanced query development, metrics development and KPI utilization via business intelligence applications. Domain specializations:Data Science, Data Management, Resource Management, Finance, IT Service Management (ITIL), IT metadata catalogs, IT audit compliance and Lean support.Technologies: Jira, Rally, Clarity, Hadoop, SQL Server, Jupyter, Microsoft BI stack (SSAS / SSRS / Power View / Power Pivot, Power BI), SAS EG, Microstrategy, Business Objects, Hyperion (Essbase and Brio), COGNOS, AnalytiX and Casewise
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