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Job ID :
96172
Location :
Chicago, IL US
Level :
Senior Manager
Job Category :
Data Science & Analytics
Description :

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 Description

Data science incorporates techniques across many disciplines – including mathematics/statistics, computer programming, data engineering and ETL, software development, and high performance computing – with traditional business expertise with the goal of extracting meaning from data to optimize future business decisions. Individuals in this field should be fluent in several of these disciplines and sufficiently proficient in others to effectively design, build, and deliver end to end analytics products. Arity Data Science and Analytics is responsible for aligning with and contributing to company-wide objectives by identifying new product opportunities and enhancing current capabilities.

 

Job Summary

Arity Data Scientists are responsible for working as members of a product team to build predictive models and develop new machine learning techniques that enable Arity, and its partners, to make better decisions to achieve its goals. This is a highly dynamic position that requires a high degree of flexibility, intellectual curiosity, and the ability to rapidly adapt to changing business needs, new technologies, and modeling/machine learning techniques.

  

This role is responsible for leading across functions to build alignment for the use of data to make decisions that enable Arity products to succeed and grow.  This includes the development of strategies that leverage the state of art machine learning/predictive modeling and developing the alignment with key stakeholders on these strategies. The role is responsible for the development of automated decision making strategies that enable business decisions to be made using tools that optimize outcomes. The role is accountable for development of teams that maintain the tools developed by the Data Scientists. The role determines the optimal portfolio of projects to execute and leads teams of managers and data scientists to successfully execute and implement those projects. This role is a key developer of the data analytics strategy Arity. This role is also accountable for building alignment with key stakeholders on the strategy within Arity and Allstate.

Key Responsibilities

Strategy Development

  • Accountable for the building & evolving the vision and strategy of using machine learning/predictive modeling, optimization and data to develop a portfolio of projects to achieve corporate goals
  • Builds alignment for strategies across the organization, fostering relationships and engaging resources across departments
  • Influences broader organizational and technological change to facilitate easier adoption and integration of product and analytic initiatives
  • Leads efforts for continuous improvements with data, tools, methodology and processes
  • Advances modeling development within the department
  • Serves as subject matter expert and consultant on product related issues inside and outside the department

    Portfolio Leadership

  • Translates vision and strategies into roadmaps and projects
  • Oversees prioritization of work across major focuses areas to ensure appropriate focus on highest value projects
  • Leads multiple, complex analytical and modeling/machine learning projects with many team members 
  • Establishes frameworks to ensure projects are managed according to overall plan managing scope, mitigating risks and solving for project risks
  • Effectively understands the business problems, requirements, and context in communicating findings to ensure models are well understood and incorporated into business processes
  • Determines optimal program organization and delivery approach, assists in managing budget, coordinating resources and oversees development of integrated project plans

     

    Engages senior leadership to influence and improve the business

  • Presents business cases with senior leadership at Arity and influences cross-functionally to take, implement and deliver on recommended actions
  • Achieves results on initiatives that contribute goals
  • Encourages risk taking and innovation
  • Applies efforts to diverse and complex situations to determine solutions, alternatives or guidance
  • Represents Arity on panels, in outside venues or forums
  • Serves as a subject matter expert on complex issues with regulators, legal consul and the field
  • Partners with outside business units in order to improve the effectiveness of business decisions

     

 

People Leadership

  • Directs managers and team members who are responsible for work that needs to be performed
  • Identifies necessary staffing and skill sets to successfully execute on strategies
  • Identifies skill gaps and devises training and hiring plans with managers to develop new talent
  • Directs, supports, and executes talent management developing bench strength for modeling teams from analysts to project managers to new managers
  • Coaches, mentors and influences others to accomplish departmental goals
  • Actively seeks to connect resources across departments to share expertise educating teams on initiatives, strategy and models
  • Work to maintaining a friendly and collaborative work environment

     

Job Qualifications

  • Preferably a Master’s in a quantitative field such as statistics, mathematics, finance, or economics or an actuarial designation (ACAS/FCAS) with a bachelor’s degree in a quantitative field
  • Deep expertise in pricing, statistical, machine learning, rating plan design, and insurance regulation knowledge, with working knowledge of personal lines underwriting and product offerings and company sales and marketing processes
  • Proven strong ability in leading teams and cross functional projects
  • Proven strong ability to manage teams overseeing machine learning/predictive modeling work in software such as SAS, SPSS, Matlab, R, CART, etc.
  • Proven strong ability to manage teams overseeing development of prototypes in Python, Perl, Java, C, etc
  • Proven deep knowledge of advanced modeling/machine learning techniques
  • Ability to train, develop, and teach more junior team members
  • An advanced knowledge about business in general and seasoned, in-depth, multi-dimensional knowledge of industry and company economics
  • Ability to analyze and interpret complex concepts 
  • Ability to lead teams in the development rating plans
  • Ability to lead teams in the development Modeling Frameworks
  • Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
  • Ability to concentrate on a wide range of loosely defined complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable
  • Proven communication and influence skills taking varying audiences into consideration

 


The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.

Good Work. Good Life. Good Hands®.

As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy.

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Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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It is the policy of Allstate to employ the best qualified individuals available for all jobs without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity/gender expression, disability, and citizenship status as a veteran with a disability or veteran of the Vietnam Era.

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