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Allstate

Senior Manager – Analytics Data Platform

Allstate

Senior Manager leading a team of engineers to deliver advanced data solutions for analytics at Arity, a remote company focused on data and transportation. Collaborating with teams to enhance data & model management strategy and efficiency.

Posted 5/5/2026full-timeRemote • Illinois • 🇺🇸 United StatesSenior💰 $151,700 - $221,675 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudPythonScala

About the role

Key responsibilities & impact
  • Lead a team of data and infrastructure engineers in the overall delivery of data solutions enabling advanced data science and analytics.
  • 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.
  • 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.

Requirements

What you’ll need
  • 10 or more years of experience (preferred)
  • 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 as 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.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

ATS Keywords

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Hard Skills & Tools
cloud architecturecloud strategycloud operationsbig data managementAWS SageMakerGoogle Vertex AIMicrosoft Azure MLDatabricksMLOpsprogramming languages
Soft Skills
collaborationanalytical skillsproblem solvingorganizational skills