Manage the full lifecycle of data products, from ideation and development through deployment and optimization.
Define strategy and product roadmaps and lead delivery and continuous improvement efforts.
Collaborate with business and technical stakeholders to prioritize initiatives, define data requirements, and ensure alignment with business objectives.
Oversee data architecture, data pipelines, and governance to ensure data quality, security, and accessibility.
Monitor performance using KPIs and drive continuous improvement through data-driven insights.
Lead cross-functional teams (engineering, analytics, data science) to deliver high-impact solutions while fostering collaboration and technical excellence.
Requirements
Excellent English communication skills (reading, writing, and speaking)
Experience working with international clients
Previous experience in the data and analytics domain
Previous experience in project management
Experience with value-based prioritization and risk management
Team leadership experience
Nice to have
Experience in Data Platform, Data Visualization, or Data Migration
Experience with major Azure cloud platform services
Experience migrating data platforms to the cloud
Experience building data platforms both on-premises and in the cloud
Experience with widely used operational tools such as HubSpot, Workday, Segment, or Braze
Experience with project management tools
Experience with AI/ML
Benefits
Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Partnerships with gyms and health/wellness providers via Wellhub (Gympass) TotalPass
Profit sharing and results participation (PLR)
Life insurance
Continuous learning platform (CI&T University)
Employee discount club
Free online platform dedicated to physical, mental, and overall well-being
Pregnancy and responsible parenting course
Partnerships with online learning platforms
Language learning platform
And many more!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architecturedata pipelinesdata governancedata qualitydata securitydata accessibilitydata visualizationdata migrationAIML