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Data & Analytics Manager
hace 2 semanas
Objective:
Lead the creation and growth of the Data & Analytics capability for International LATAM. Build and lead a high-performing team that delivers scalable data platforms, advanced analytics, and a regional data governance model for LATAM. Translate business needs into data-driven solutions to turn data into a strategic asset that drives insights, improves decision making, and accelerates business outcomes across the region.
Position Requirements:
1.- 8+ years in data, analytics, or BI roles, with 3+ years in a people-leadership/manager role.
2.- Proven experience building and scaling data teams and operating models in multi-country or distributed environments.
3.- Track record implementing data governance, data quality, and metadata management programs.
4.- Hands-on background delivering cloud-native data platforms and analytics (production deployments).
5.- Experience working with business stakeholders to design analytics use cases that drive measurable outcomes and ROI.
6.- Prior experience in LATAM or multi-cultural regional operations preferred.
7.- Strong project, vendor, and stakeholder management experience.
8.- English - Fluent (must)
Technical Knowledge:
1.- Cloud data platforms (AWS, Azure, or GCP) and data lake/warehouse architectures.
2.- Modern data engineering: ETL/ELT, streaming, orchestration (Airflow, dbt, Spark, etc.).
3.- Analytics & visualization tools: Power BI (must)
4.- Data governance frameworks, MDM, data catalogues, lineage, privacy (GDPR/PDPA/Latin America equivalents).
5.- Data modeling, SQL, and familiarity with Python/R for analytics and ML pipelines.
6.- Data quality, monitoring, and observability best practices.
7.- Security, access control, and regulatory compliance in data environments.
8.- Agile delivery methodologies and DevOps/DataOps practices.
Key Responsibilities
1.- Team building & leadership: recruit, develop, retain cross-functional data team
2.- Data governance & compliance: design and deploy LATAM governance, policies, metadata, lineage, stewardship
3.- Data platform & architecture: design, operate, scale cloud data platforms and pipelines
4.- Analytics & BI delivery: deliver dashboards, reports, predictive models aligned to business priorities, Data quality & master data: implement data quality rules, monitoring, and MDM for critical domains
5.- Stakeholder engagement & value realization: partner with regional business to prioritize use cases and measure ROI
6.- Data security & privacy: enforce access controls, encryption, and privacy practices
7.- Cost & vendor management: manage budgets, cloud costs, and third-party vendors
