Senior Director – Client Data Solutions

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🕒 Junho 16

🧀 Wisconsin – Remoto

🧀 Wisconsin – Remote

⏰ Tempo Integral

🟠 Sênior

👔 Diretor

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Cielo Talent

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🏥 Saúde

📦 Logística

👥 RH Tech

Healthcare • Logistics • HR Tech

A Cielo Talent é uma parceira global de aquisição de talentos que oferece uma gama de soluções em terceirização de processos de recrutamento, gestão de força de trabalho contingente e consultoria em aquisição de talentos. Eles utilizam tecnologia avançada, incluindo IA, para fornecer soluções personalizadas para empresas que buscam preencher necessidades específicas de talento. Com foco em diversidade, equidade e inclusão, a Cielo busca fazer parceria com organizações em todo o mundo para aprimorar suas estratégias de aquisição de talentos. Eles atuam em várias indústrias, como saúde, ciências da vida e tecnologia, para oferecer soluções de contratação eficazes e eficientes.

Descrição

• Define and execute the organization’s data integration and client data strategies, spanning integrations, data platform, and reporting enablement. • Establish KPIs to measure data platform performance, reporting adoption, data quality, and business impact. • Partner with executive stakeholders across Product, AI Engineering, and Client Services to align data capabilities with business priorities. • Contribute to Engineering Leadership governance, including technical standards, architecture, and long-term strategy. • Drive technical direction for data architecture, integration patterns, and platform scalability. • Oversee the design and delivery of scalable, reliable data integration pipelines and integration workflows across client systems and internal platforms. • Establish best practices for data engineering, including testing, deployment, observability, and documentation. • Guide implementation of data quality, monitoring, and reliability frameworks. • Ensure compliance with data governance, security, and regulatory requirements. • Continuously evaluate and evolve the data technology stack to support growth and innovation. • Own the strategy and delivery of client-facing data products, including dashboards, reporting layers, and embedded data experiences. • Collaborate with Product Management to embed reporting capabilities into core platform offerings. • Partner with Product Management to align data capabilities with product roadmaps and client value propositions. • Collaborate with AI Engineering to ensure enterprise data supports AI/ML model development, deployment, and consumption. • Work closely with client-facing teams to understand customer needs and deliver scalable, repeatable data solutions. • Champion a data-driven culture across the organization. • Oversee planning, prioritization, and execution of data integration and platform initiatives. • Manage budgets, vendor relationships, and data-related technology investments. • Establish processes for monitoring, troubleshooting, and maintaining production data systems. • Enable faster delivery of reporting capabilities through standardization and reusable data assets.

🎯 Requisitos

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field strongly preferred • 8+ years of experience in data engineering, data platforms, or integration roles • 5+ years of experience leading technical teams, including managing managers • Deep experience with modern data architecture, ETL/ELT, and integration frameworks • Proven track record of delivering client-facing data solutions or data products at scale • Demonstrated ability to align technical solutions with business outcomes • Strong understanding of our core tech stack: AWS, Microsoft Azure, Apache Airflow, Docker, Python (Pandas), RDBMS (Snowflake, PostgreSQL), and NoSQL (Redis, DynamoDB) • Extensive experience with data modeling, ETL/ELT processes, and database technologies (Snowflake, PostgreSQL, NoSQL) • Experience with API design, development, and integration patterns • Experience working with AI/ML teams to support data requirements for model development and deployment • Track record of successfully delivering complex data integration projects that meet business requirements • Experience in talent acquisition technology, HR systems, or related industries preferred • Knowledge of data governance, security, and compliance requirements • Proficiency in data quality management and monitoring tools • Understanding of the full life cycle of project/program execution following established project management methodology • Demonstrate expert knowledge of talent acquisition platforms, tools, products, and other complimentary technologies to support these platforms • Deep subject matter expertise in a variety of workstreams (change management, risk assessment, compliance, sponsorship modelling, user acceptance testing, end-to-end testing, end user training, communications, resistance management, launch planning, and configuration) • Commercially astute

🏖️ Benefícios

• Remote work options