As the Senior Manager of Arity’s Analytics Data Platform team, you will lead a group of data and infrastructure engineers to develop cloud-based big data systems for ingesting, processing, and managing spatial-temporal data, while also implementing advanced data pipelines and AI solutions. Your day-to-day responsibilities include driving technical excellence within your team, modernizing analytics data management platforms, ensuring compliance with data governance policies, and collaborating with cross-functional teams to deliver effective solutions. You will need deep knowledge of public cloud architecture, hands-on experience with cloud-based ML frameworks like AWS SageMaker or Google Vertex AI, proficiency in programming languages such as Python, and expertise in designing cloud-based data lakes/warehouses. This role is crucial for advancing Arity’s mission by optimizing analytics workflows and facilitating efficient collaboration across the organization to bring innovative transportation solutions to market.
Skills
AWS
Amazon SageMaker
Google Cloud Platform (GCP)
Vertex AI
Data Science
Machine Learning Operations
Python
GoLang
Scala
Big Data Management
CI/CD
MLOps
What you'll do
Manage and develop the Analytics Data Platform team to drive technical excellence.
Design and implement a roadmap for modernizing analytics data management platforms.
Ensure compliance with data governance policies by implementing security measures.
Optimize cloud-based big data systems to enhance operational efficiency and performance.
Serve as a subject matter expert in cloud computing and MLOps for effective collaboration.
Work closely with cross-functional teams to deliver solutions that meet business objectives.
Influence long-term technical decisions and organizational strategy impacting the company.
What we're looking for
At least 10 years of relevant experience in cloud computing and data management.
Proven expertise in designing and implementing big data solutions on public clouds like AWS or GCP.
Hands-on experience with MLOps workflows, including model management and deployment.
Strong knowledge of cloud-based ML frameworks such as AWS SageMaker, Google Vertex AI.
Demonstrated ability to lead and mentor a team of data and infrastructure engineers.
Excellent collaboration skills for working effectively in remote teams and across functions.
Market check
Salary context
This
$151,700–$221,675
range sits above
52%
of similar postings on FindRole.
Peer median band
$132,000–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$140,442–$221,950
Middle half of comparable postings.
Based on 239 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Allstate
The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.
Allstate currently has
23 open roles
on FindRole.
Listed pay typically runs
$100,000–$181,025
across 23 roles with salary data.
(Usa) Sam'S Home Office Ar Bentonville Home Office, US45 days ago
$90,000–$180,000
Python
SQL
Databricks
BigQuery
GitHub
Generative AI
ML
Statistical Modeling
Data Pipelines
CI/CD
Automation
Scalability
Repeatability
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MMA
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