Cielo

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI, United States · Director

Sponsorship not specifiedDetected 36 days ago
PythonNoSQLPostgreSQLRedisDynamoDBSnowflakeAWSAzureDockerAPI DevelopmentMachine LearningPandasAirflowData EngineeringData ScienceProduct StrategyProject ManagementExcelRecruitingPerformance ManagementLeadershipCommunicationMicrosoft Office

About the role

  • Are you ready to accelerate your career?
  • Join Cielo as a Senior Director - Client Data Solutions!
  • Cielo is a brand that reflects our big idea - that talent is rising - and with it our opportunity to rise above.

Responsibilities

  • ​​​​​Lead, mentor, and scale Data Engineering, Integration Engineering, and Client Reporting teams, providing technical guidance, career development, and performance management.
  • Partner with executive stakeholders across Product, AI Engineering, and Client Services to align data capabilities with business priorities.
  • 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.
  • 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.
  • Deliver scalable, templated reporting solutions that reduce reliance on custom, one-off reporting.
  • Partner with Client Services and Operations to translate business needs into reusable, analytics-ready data models.

Requirements

  • 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
  • Knowledge of data governance, security, and compliance requirements
  • Proficiency in data quality management and monitoring tools
  • Extensive experience with data modeling, ETL/ELT processes, and database technologies (Snowflake, PostgreSQL, NoSQL)
  • Experience with API design, development, and integration patterns

Nice to have

  • Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field strongly preferred
  • Experience in talent acquisition technology, HR systems, or related industries preferred

Skills

  • Duties and Responsibilities:
  • Establish KPIs to measure data platform performance, reporting adoption, data quality, and business impact.
  • Contribute to Engineering Leadership governance, including technical standards, architecture, and long-term strategy.
  • 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.
  • Ensure performance, usability, and consistency of data powering all client reporting experiences.
  • 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.

Visa & Work Authorization

  • 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, resistan

This listing is sourced directly from Cielo's careers page and normalized into a canonical job model.