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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing the full data product lifecycle, from ideation to deployment, with a strong focus on data architecture, analytics, and team leadership. Proficient in utilizing data platforms, cloud services, and modern data transformation tools to drive product performance and continuous improvement.
Highest-signal resume keywords
Data Product Lifecycle ManagementData Architecture and InfrastructureAzure Cloud ServicesDBT and SnowflakeTeam Leadership and Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData ProfilingData Governance PracticesProject ManagementRisk ManagementValue-Based PrioritizationData TransformationData WarehousingMetrics and KPIs MonitoringTechnical Depth in Data Environments
Soft Skills
Strategic ThinkingCollaborationMentoringCommunicationStakeholder Engagement
Tools & Technologies
Azure Cloud ServicesDBTSnowflakeProject Management ToolsAnalytics Platforms
Industry Keywords
Data Lifecycle ManagementData EnablementCross-Functional Team LeadershipInternational Stakeholder CommunicationData-Related Project Management
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Lead the full life cycle of data products from ideation through deployment and optimization
- Manage the complete data lifecycle, from data generation through pipelines to data enablement
- Understand data architecture and infrastructure, including storage, integrations, and analytics platforms
- Collaborate with technical and business teams to define roadmaps and prioritize tasks based on business value
- Analyze data types, relationships, patterns, and trends through data profiling
- Document clear, specific, and achievable data requirements with internal and external stakeholders
- Understand business workflows, sources, entities, and attributes
- Validate products with users against real use cases using data and metrics
- Monitor product performance through metrics and KPIs and drive continuous improvement
- Support AI incorporation into team workflows
- Lead cross-functional teams of data scientists, data developers, and analytics specialists
- Attract, retain, and develop data talent through mentoring, training, and growth opportunities
Requirements
What you’ll need- Advanced English proficiency (C1 or above), spoken and written, to communicate directly with international stakeholders
- Solid, hands-on background in data and analytics environments; genuine technical depth is required, not only product or analytics-only experience
- Experience managing data-related projects, including planning, execution, and stakeholder communication
- Strong strategic thinking and product mindset, with experience in value-based prioritization and risk management
- Proven experience leading and developing technical teams
- Experience working within data platform environments hosted on Azure Cloud Services
- Exposure to modern data transformation and warehousing tooling such as DBT and Snowflake
- Experience using project management tools to plan, track, and communicate delivery status
- Prior experience working with international clients across different time zones (nice to have)
- Background transitioning from product management, project management, or technical team leadership into data product roles (nice to have)
- Experience with data governance practices (nice to have)
- Experience with additional cloud platform providers such as AWS or GCP (nice to have)
Benefits
Comp & perks- Premium Healthcare
- Meal voucher
- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay-Life insurance
- CI&T University
- Colombian Holidays
- Paid Vacations
- Inclusive and safe work environment
- Opportunities for diverse and underrepresented groups
