Manager, Information Systems

Requisição: 70413

Sobre a Whirlpool Corporation

Whirlpool Corporation (NYSE: WHR) Ser a melhor empresa de eletrodomésticos, melhorando continuamente a vida em casa. Como aúnica grande fabric ante de eletrodomésticos para cozinha e lavanderia dos EUA, a empresa está impulsionando inovações significativas para atender às crescent es necessidades dos consumidores, por meio do portfólio de marcas icônicas, incluindo Whirlpool, Kitchen Aid, Jenn Air, Maytag, Amana, Brastemp, Consul e In Sink Erator .

Em 2024, a empresa registrou aproximadamente US $17 bilhões em vendas anuais – quase 90% delas nas Américas – 44.000 colaboradores e 40 centros de pesquisa de tecnologia e manufatura. Informações adicionais sobre a empresa podem ser encontradas em

A equipe da qual você fará parte

A equipe de Sistemas da Informação é responsável pela implementação da arquitetura empresarial e pelo desenvolvimento e manutenção do ambiente de computação/TI da organização. Ela determina e desenvolve abordagens e soluções arquitetônicas, conduz análises de negócios, documenta sistemas atuais e desenvolve recomendações de como proceder com os aplicativos.

Resumo desta função

In this role, you will lead the Data Analytics organization for LAR (Latin America Region) North, responsible for shaping the data landscape and driving a data-driven culture across the region. You will be responsible for four key pillars: Analytics Solutions, Data Quality, Data Visualization and BI as a Service.

You will enable secure, scalable, and cloud-driven data platforms that support business strategy, accelerate digital transformation, and drive modernization across enterprise systems, primarily leveraging Google Cloud Platform (GCP). You will lead a multidisciplinary team of data engineers and analysts to define standards, deliver robust data pipelines, and implement self-service BI capabilities that empower business units with actionable insights. This position requires strategic leadership, deep technical expertise in data architectures, and the ability to influence technology direction at multiple levels

Suas responsabilidades incluirão

• Lead and develop a high-performing Data Analytics team, promoting collaboration, technical excellence, and continuous learning.

• Define and evolve the regional Data & Analytics strategy, ensuring alignment with LAR North business outcomes and global IT roadmaps.

• Act as a trusted advisor to senior leadership, influencing priorities, investments, and data-driven decision-making.

• Understand business priorities and success measures to design and implement appropriate analytical solutions.

Analytics Solutions & Data Engineering

• Design, develop, and maintain scalable ETL/ELT pipelines in GCP to support data ingestion and transformation from various sources (SAP ECC, S/4
  
  HANA, Salesforce, etc.).

• Create robust and automated pipelines utilizing batch and streaming mechanisms (Dataflow, Pub/Sub, Spark) leveraging cloud-native toolsets.

• Optimize data workflows for performance, scalability, and cost-efficiency (TCO).

• Provide thought leadership on how to leverage GCP cloud services to enable new and evolving business models.

• Lead the migration of on-premise legacy environments to GCP

Data Quality, Governance & BI as a Service

• Ensure data quality and integrity through automated validation, monitoring, and governance frameworks.

• Implement best practices for data security, compliance, and privacy (GDPR/Local laws).

• Scale BI as a Service capabilities to enable developer and business self-service environments using tools like Tableau and Looker.

• Mature monitoring and SRE practices for data platforms to improve reliability and operational efficiency.

Requisitos mínimos

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM field.

• 5+ years of experience in Leadership, Data Architecture, or Data Engineering roles.

• Proven experience leading and developing high-performing technical teams, fostering collaboration and continuous learning.

• Hands-on GCP Experience:
  Advanced proficiency in Google Cloud Platform, specifically Big Query, Dataflow, Dataproc, and Pub/Sub.

• Data Engineering:
  Solid track record…