Senior Manager – Analytics Data Platform

Vaga não está no LinkedIn

🕒 Maio 5

🌽 Illinois – Remoto

🌽 Illinois – Remote

💵 $151.700 - $221.675 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Allstate

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1931

💸 Finanças

💰 Post-IPO Equity em 2014-01

Insurance • Finance

A Allstate é uma líder do setor na oferta de soluções de seguros, com foco em proteção de residências, automóveis, dispositivos e identidade. Com um compromisso com o bem-estar dos clientes, a Allstate visa proporcionar tranquilidade e segurança financeira para seus clientes. A empresa também enfatiza o impacto comunitário e a sustentabilidade por meio de várias iniciativas, demonstrando sua dedicação à responsabilidade social e à mudança positiva.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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