Responsible for the consumer signals and intelligence roadmap as part of the centralized product & engineering group at Cox Automotive. The role includes managing the data science and product analytics short-term and long-term initiatives as well as the delivery of new or enhanced capabilities that drive revenue for products across all of the Cox Automotive Consumer & Retail set of brands (including: Autotrader, Kelley Blue Book, Dealer.com, Vinsolutions, vAuto, Instant Cash Offer, AMP). My products focus on strengthening consumer engagement on our web and CRM platforms through improved targeted advertising and personalization.

Responsible for product strategy, vision and leadership of Consumer Insights and Recommendations (machine learning based insights and vehicle recommendations) to increase efficiency of personalization and advertising across Consumer Solutions and CRM teams at Cox Automotive.Strategy design for maximizing revenue, driving down costs, increasing uptime and greater financial yield from new and existing assets.Product Road Mapping and product marketing of algorithms to support a digital marketplace focused on consumer personalization and advertising.OKR development framework to ensure expected outputs with meaningful product growth/coverage.

Led a team of data scientists and architects that are focused on researching new data product ideas and working with our businesses to launch our new products. Used a variety of machine learning, statistical and data manipulation tools including a suite of AWS products and packages. Was on the front line of taking a data solutions group from a SAS-centric organization to one that is tool agnostic and can build new data products in any environment. Coordinated with clients and internal stakeholders to design data products that drove high margin revenue opportunities.Specialized in designing, developing, testing and implementing large-scale products such as: consumer recommendation engines, wholesale vehicle recommendations engines, wholesale cash offers and consumer profiles/insights.Partnered with many teams in sales, marketing, product, and IT throughout the process of building, selling and maintaining our products.

Led a team of data scientists building new optimization products for large clients of Cox Automotive Inventory Solutions. Worked closely with clients and internal stakeholders to design products that best met their needs.Team designed, developed, tested and implemented large-scale optimization products for large consignors including: OEMs, banks and rental companies with large fleets of vehicles.Worked across many teams in sales, marketing, product, IT and external clients throughout the process of building and maintaining our products.

• Support the analytic needs of the Product Management organization by analyzing web traffic and product performance data. Build analytical solutions to advance the company’s understanding of consumer behavior on the AutoTrader.com site and to enable the optimization of dealer and manufacturer advertising products. Mine and interpret data and offer recommendations and insight around specific questions.• Work with internal stakeholders to establish KPIs and related metrics for new products and major site enhancements• Provide reports on product performance against strategic and operational goals, leveraging data from various internal and external sources. Analyze trends and recommend corrective action• Develop requirements for the capture of web analytics data. Work with IT to ensure that tags are implemented properly and that data can be accessed in a manner that facilitates ongoing analysis and reporting• Proactively undertake deeper analysis of consumer behavior on the site using web analytic and other data mining tools• Leverage knowledge of statistical analysis to create forecasts of site and product performance. Recommend changes to site design and to product packaging to optimize the value customers receive from AutoTrader.com and to maximize the company’s pricing power• Prepare written analysis and present findings and recommendations to internal and external clients • Write queries (SQL, SAS) to develop analyses in response to queries from internal customers. • Ensure accuracy of results produced as a result of data analysis

Responsible for translating complex analytical concepts into actionable results for our clients. I am involved in the development and execution of all data management functions and statistical analysis relating to client specific projects. I am also directly responsible for preparing, analyzing and generating effective project results in an efficient and errorless manner using classical statistical techniques, delivered on time and on budget. Primary Responsibilities:• Generate and executes all project related SAS or other statistical programming with minimal supervision. Manage data audit steps to ensure data quality. • Produce appropriate and effective project deliverables including: sample diagnostics, customer profiles, complex queries, data mining, model algorithms, gains charts, model score distributions, etc.• Demonstrate a strong understanding of project scope, data extraction methodology, design of dependent and profile variables, logic and design of data cleaning, exploratory data analysis and statistical methods. • Produce timely and error-free deliverables in an efficient manner, managing multiple tasks and varying project scopes.• Create detailed project documentation and model scoring instructions, and effectively and accurately archive of project data.

Use SAS to create target lists for marketing campaigns and perform post-campaign analyses. Build response models and segmentation analyses of our customers. Build relationships with various clients of SCS Marketing Service and assist/consult the clients when they need guidance. Maintain and explore the many databases that the company uses to continuously look for new solutions to problems.

Provide assistance to SCS Marketing Services Load Research, Customer Analytics, and eBusiness teams. Performed weekly maintenance of FlatBill customers. Worked on customer segmentation and profiling of customers. Helped to create/automate eBusiness monthly dashboard reporting.

Just slingin' drinks and talkin' bout stuff with the regulars