Senior Manager - Analytics Data Platform

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 organization al   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   Sag e maker   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   lak es/ 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