The Allstate Corporation is the largest publicly held personal lines property and casualty insurer in America. Allstate was founded in 1931 and became a publicly traded company in 1993. We are listed on the New York Stock Exchange under the trading symbol ALL. Allstate is widely known through the "You're In Good Hands With Allstate " slogan. As of year-end 2013, Allstate had $123.5 billion in total assets. In 2014 Allstate was number 92 on the Fortune 500 list of largest companies in America.Where good people build rewarding careers.Think that working in the insurance field can t be exciting, rewarding and challenging? Think again. You ll help us reinvent protection and retirement to improve customers lives. We ll help you make an impact with our training and mentoring offerings. Here, you ll have the opportunity to expand and apply your skills in ways you never thought possible. And you ll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life.Job DescriptionAllstate s Innovation Team is at the forefront of change and growth within the company, driving the creation of standalone businesses or reinvention of existing ones. Innovation projects typically include cross-functional team members within Business Strategy, Product, Technology, Design, and Go to Market functions, who use data-driven prototypes and testing to achieve desired business outcomes. The team is seeking to augment its analytics capabilities further by hiring a senior manager to lead a small group of data science and data engineering specialists.The Senior Manager of Data Science will be responsible for leading the analytical efforts for innovation programs, partnering with business and product functions to help define the right analytical approaches to solving business problems. These approaches will include the development and execution of models, algorithms, and techniques using structured and unstructured data, and the role will be a key person in defining what data will be needed, how it will be collected, and how it will be managed.These efforts will require an experienced person accustomed to translating complex analyses into key insights for data-driven decision making and effective communication of the results. This person will also be the key interface with other data analytics organizations within and outside the enterprise on larger initiatives. The role will grow and manage a small team of more junior data science