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Arity Jobs (NOW HIRING)

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 ...

Arity Analytics Data Platform Arity's Analytics Data Platform (ADP) team enables our analytics and data science teams to research, develop, deploy, and optimize analytics products that drive Arity ...

OR · On-site

$18 - $25/hr

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 ...

Arity information

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$62K

$119.8K

$166K

How much do arity jobs pay per year?

As of May 29, 2026, the average yearly pay for arity in the United States is $119,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst at Arity, and why are they important?

To thrive as a Data Analyst at Arity, you generally need a solid background in statistics, data analysis, and programming, often supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and programming languages such as Python or R is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help convey complex insights to stakeholders. These competencies ensure accurate data-driven decision-making and support Arity’s mission to leverage data for innovative transportation solutions.

What types of projects do Arity team members typically work on and how is collaboration structured within the company?

Arity team members often work on data-driven mobility solutions, such as developing predictive models for transportation, enhancing telematics platforms, and building scalable APIs for mobility data. Collaboration is highly cross-functional—teams typically include data scientists, software engineers, product managers, and UX designers working closely together in agile sprints. Regular stand-up meetings, code reviews, and design sessions foster open communication and ensure that projects align with both technical standards and business goals. New hires can expect to engage with a variety of stakeholders and contribute to impactful, industry-leading products.

What are Arity jobs?

Arity jobs are roles within Arity, a technology company that specializes in using data analytics and insights to improve transportation systems and mobility. Employees at Arity may work in areas such as data science, engineering, product management, or analytics to develop solutions that help make transportation safer, smarter, and more efficient. Job responsibilities often involve analyzing mobility data, building digital products, and collaborating with partners in the transportation industry. Arity is a subsidiary of Allstate and focuses on innovation in the evolving mobility space. Working at Arity offers opportunities to impact the future of transportation technology.

What is the difference between Arity vs Data Analyst?

AspectArityData Analyst
Required credentialsTypically requires a degree in computer science, statistics, or related fieldsUsually requires a bachelor's degree in a related field, often with certifications in data analysis tools
Work environmentTech companies, startups, or firms focusing on data-driven productsBusiness, finance, healthcare, and various industries analyzing data for insights
Employer and industry usageUsed by tech firms developing data platforms and APIsCommon across industries for interpreting data and generating reports
Common search and comparison intentUnderstanding roles in data technology and platform developmentAnalyzing data to inform business decisions

Arity and Data Analyst roles share overlapping skills in data handling and analysis, but Arity often focuses on developing data platforms and APIs within tech environments, while Data Analysts primarily interpret data to support business strategies across various industries.

Infographic showing various Arity job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 82% Physical, and 18% Remote job distribution, with an average salary of $119,772 per year, or $57.6 per hour.
Senior Manager - Analytics Data Platform

Senior Manager - Analytics Data Platform

Arity

Chicago, IL • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

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 toward 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.
Arity Analytics Data Platform
Arity’s Analytics Data Platform (ADP) team enables our analytics and data science teams to research, develop, deploy, and optimize analytics products that drive Arity’s mission forward. The ADP team defines, provisions, and manages data pipelines, tools, platforms, and infrastructure to optimize analytics workflows and facilitate efficient collaboration with Arity’s engineering teams to bring analytics products to production. We promote best practices for code and model management, reproducibility, scalability, and governance of the end-to-end analytics lifecycle. The team also plays a central role in the adoption and effective use of emerging AI-based development tools within the Arity Analytics community.

The Role:


You will lead 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 ingesting, processing, and managing spatial-temporal and other types of data for analytics R&D; the implementation and operationalization of advanced data processing pipelines and AI solutions; identifying and integrating new data management and data analytics tools and ensuring best practices in their usage; and establishing and administering MLOps best practices in collaboration with Arity Engineering. The Senior Manager is responsible for the recruitment, selection, mentorship, and development of team members and for setting the strategic direction for the team in support of the business objectives of the company. This role is also accountable for building alignment with key stakeholders across Arity on the big data management strategy and execution. 

Key Responsibilities:

  • Manage and develop the Analytics Data Platform team and drive technical excellence. 

  • Drive the analysis, design, and development of a roadmap and implementation plan to continuously modernize our analytics data and model management 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. 

  • Use your knowledge of cloud design patterns, cloud operations, and cloud cost models to identify and address performance bottlenecks, troubleshoot technical issues, and implement optimizations to enhance overall data & model management platform performance. 

  • Be a subject matter expert in cloud computing & model management/MLOps to help data scientists and analysts work effectively in the cloud environment. 

  • Work collaboratively with cross-functional teams, including data scientists, analysts, engineers, and business stakeholders, to understand data and ML system requirements and deliver effective solutions. 

  • Be a technology thought leader and a key influencer on technical decisions and organizational strategy that have long-term, strategic impact on the business. 

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 AWS Sagemaker AI, Google Vertex AI, Microsoft Azure ML, or Databricks, 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 cloud-based data lakes/warehouses/lakehouses 

  • Excellent collaboration skills and ability to work on a remote team. 

  • Strong analytical, problem solving, and organizational skills.

Experience:

  • 10 or more years of experience (preferred) 

Supervisory Responsibilities:

  • This job has supervisory duties. 

#LI-TE1

Skills

Amazon S3, Amazon SageMaker, Amazon Web Services (AWS), Data Science, Google BigQuery, Google Cloud Platform (GCP), Machine Learning Operations, Vertex AI

Compensation

Compensation offered for this role is 151,700.00 - 221,675.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

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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To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

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.