Charity Taylor Email & Phone Number

I landed in the realm of data & analytics more by accident than design. Hooray for happy accidents!My background in finance allowed me a cross-functional view of the automotive industry for which I am truly grateful. With roles spanning manufacturing, product development, sales & marketing, supply chain within a major OEM, I learned firsthand how the virtuous cycle of curiosity can fuel success. The more I asked, the more I learned. The more I learned, the better I supported my stakeholders, which improved their ability to deliver and, in turn, increased their willingness to teach. I am fortunate to have learned from some of the smartest players in business.My role supporting sales & marketing introduced me to the power of leveraging real-time market data to drive operational decisions, and to the instrumental role of well-structured data in enabling analysis. That put me on an entirely different path - one that builds upon my quantitative background and analytical prowess but is primarily focused on effectively harnessing data to inform decisions. I've leveraged best-in-class data to describe the what, explain the why, and guide the what now for a broad array of multi-billion-dollar decision-makers. I've worked with talented teams to create and deliver key metrics, new products, and predictive capabilities. Together we've designed robust, transparent, repeatable processes that generate high-quality output and inform high-impact decisions. I've learned the importance of data structure and modularity in creating repeatable processes and, through spearheading successful initiatives, I have witnessed firsthand how effectively democratizing data can yield exponential growth. I delight in the counterintuitive - the joy of discovering an entirely unexpected truth through expert analysis of high-quality data. Data is pretty hot right now. But it's really all about the decision made stronger by data and the impact that has on the organization and its people. Data science is in its heyday, but in a world where large language models can enable anyone to write code or build predictive algorithms, the quality of the inputs and the mastery with which they are applied to problems truly worth solving remain key differentiators. Identifying problems worth solving. Creating high-quality inputs that deliver more signal than noise. Leveraging those inputs - absolute, relative, or derived - to fuel operational decisions. Building high-functioning teams that keep their foot on the accelerator. I'm here for it! Even if only by accident.