Currently supporting all CFO, COO, and Business Unit leadership team functions from an analytics and intelligence perspective using various analytical tools and methods to drive business value at the firmwide level. Commitment to understanding the needs of key leadership stakeholders with the goal of prioritizing a large analytics book of work to enable the functions to execute in an efficient manner.Managing a team of data analysts, data visualization experts, and process automation specialists from New York to Dublin Ireland, Warsaw Poland, and Mumbai India to create large-scale solutions across the enterprise; the overall goal is to drive value via the use and dissemination of data while reducing costs, reducing risk and increasing process efficiencies.Enabling the implementation of real-time insights to customers as a strategic advantage. Acting as a product owner for a suite of over 100 customer dashboards with hundreds of monthly users. Ensure the overall dashboard product suite is growing user adoption, providing key insights, and staying best in class in user experience.Drive Intelligence automation to scale by identifying and prioritizing use cases while ensuring in line with overall strategic objectives. Champion the use of low code technologies to provide stop-gap, medium- and long-term solutions to business problems while reducing overall implementation costs in a rapid and agile manner. Heavily influence the organizations' data strategy and plans to migrate to the cloud as well as tactical plans to uplift the overall data ecosystems. Expand the data science function by identifying opportunities to leverage AI/ML applications to drive additional insights.SKILLS:• Dashboards & Visualizations - Power Bi, Dataflows, Datamarts, M Code, DAX, QlikView, Tableau, IBM Watson Analytics• Sales Pipeline: Salesforce.com, pipeline analytics by route to market, channel, geography, milestone aging, deal size binning, partner analysis• Investment & Product Analytics: portfolio optimization, product profitability, pricing, competitive benchmarking, customer analysis, contract strategy+• Data Analytics - SQL, DAX, M Code, R, Python, SAS EM, Hadoop, Spark, Machine Learning, AI, predictive models, logistic and linear regression, decision trees, association rules, neural networks, ensemble models, chatbots• Agile Development - MS Agile Dev Ops, Rally, Agile Central, Trello, Jira, Confluence, Trello, managing and measuring user stories, features, defects, acceptance criteria, scrum teams.