Senior Manager - Analytics Data Platform - Arity
About the role
Drive sales growth by engaging with interested prospective customers, all while working remote. No cold calling—connect through inbound calls and proactive outbound calls with active insurance shoppers. Enjoy competitive compensation with a base salary + uncapped performance-based incentives. Sell reputable products from Allstate and our family of brands.
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.
Requirements
- 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.
Qualifications
- 10 or more years of experience.
Skills
- Amazon S3, Amazon SageMaker, Amazon Web Services (AWS), Data Science, Google BigQuery, Google Cloud Platform (GCP), Machine Learning Operations, Vertex AI
Pay
Compensation offered for this role is $151,700.00 – $221,675.00 annually and is based on experience and qualifications.
Schedule
This role is remote.
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