Arity - Analytics Data Engineering and Infrastructure Director
New York, NY 
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Job Description

The world isn't standing still, and neither is Allstate. We're moving quickly, looking across our businesses and brands and taking bold steps to better serve customers' evolving needs. That's why now is an exciting time to join our team. As a leader in a corporation with 83,000 employees and agency force members, you'll have a hand in transforming not only Allstate but a dynamic industry. You'll have opportunities to take risks, challenge the status quo and shape the future for the greater good.

You'll do all this in an environment of excellence and the highest ethical standards - a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.

Everything we do at Allstate is driven by a shared purpose: to protect people from life's uncertainties so they can realize their hopes and dreams. For 89 years we've thrived by staying a step ahead of whatever's coming next - to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We've been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don't follow the trends. We set them.

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Founded by The Allstate Corporation in 2016, Arity is a fully remote data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here-the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That's because at Arity, we believe work and life shouldn't be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don't just want you to see yourself here. We want you to be yourself here.
At Arity, our Analytics team is at the core of helping us transform mobility. They not only know how to analyze and find meaning within the data but are passionate about how it affects the end-users of our products. They work with a treasure trove of massive data sets every day-after all, Arity is constantly collecting and deciphering billions of miles of driving data. And as our data continues to grow by the second, our Analytics teammates grow right alongside it. We give them the opportunity to model and visualize that data to create innovative products, working side-by-side with our diverse product teams. The insights uncovered by the Analytics team help catalyze groundbreaking solutions for our customers and are a driving force in making transportation smarter, safer, and more useful for everyone. Personally, we think that's pretty game-changing stuff.

Job Summary:

This role is responsible for leading a team of data and infrastructure engineers in the overall delivery of data solutions, enabling advanced data science and analytics. This includes the development and management of cloud-based big data systems for analytics R&D, the implementation of advanced data processing pipelines and AI solutions, and discovery of new technical challenges that can be solved with existing and emerging big data hardware and software solutions. The Director is responsible for setting the strategic direction for their business segment in support of the business objectives of the company and building alignment with key stakeholders on the big data management strategy and execution.

Key Responsibilities:
  • Grow and develop the Analytics Data Engineering and Infrastructure team and drive technical excellence.
  • Drive the analysis, design, and development of a roadmap and implementation plan to continuously modernize the analytics data platform and improve operational efficiency in accordance with business objectives.
  • Implement data security measures and ensure compliance with data governance policies and standards. Engineer secure app patterns into cloud platforms.
  • Identify and address performance bottlenecks, troubleshoot technical issues, and implement optimizations to enhance overall data platform performance using cloud design patterns, cloud operations and cloud cost models.
  • Oversee and provide guidance for work completed in the cloud environment.
  • Work collaboratively with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver effective solutions.
  • Act as a technology thought leader and a key influencer on technical decisions and organization strategy that have long-term, strategic impact on the business.
Supervisory Responsibilities:
This job does have supervisory duties.
Education and Experience:
  • 4 year Bachelors Degree (Preferred)
  • 12 or more years of experience (Preferred)
  • In lieu of the above education requirements, an equivalent combination of education and experience may be considered.
Certificates, Licenses, Registrations:
  • No Certification, License or Registration is required for the job.
Functional Skills:
  • Deep knowledge about public cloud architecture, cloud strategy, cloud operations, compliance, and related tools.
  • Hands-on experience in designing and delivering big data management and applications on cloud platforms using modern software development processes, methodologies, and tools.
  • Demonstrated experience in working with cloud-based ML frameworks, such as TensorFlow, PyTorch, and Spark ML, and in MLOps workflows, patterns and delivery objectives.
  • Proficient in system design or a programming language such GoLang, Scala, Python
  • Demonstrated experience in designing and supporting data warehouses such as Snowflake, BigQuery, and Redshift
  • Excellent collaboration skills and ability to work on a remote team.
  • Strong analytical, problem solving and organizational skills.

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

Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.

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 Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

 

Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Experience
4+ years
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