Senior Director – Client Data Solutions

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🕒 June 16

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Cielo Talent

1001 - 5000 employees

🤝 B2B

👥 HR Tech

B2B • HR Tech • Consulting

Cielo Talent is a global talent acquisition partner that offers a range of solutions in recruitment process outsourcing, contingent workforce management, and talent acquisition consulting. They leverage advanced technology, including AI, to provide tailored solutions for businesses seeking to fill specific talent needs. With a focus on diversity, equity, and inclusion, Cielo aims to partner with organizations worldwide to improve their talent acquisition strategies. They work across various industries, such as healthcare, life sciences, and technology, to deliver effective and efficient hiring solutions.

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• Remote work options

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