Two decades, hands-on roots.
From DBA and data architect to a 345-person global organization. Every role kept technical depth in the left hand and organizational scale in the right.
Globant
2024 – Present · GlobalTechnology Director, Data & AI
Annual budget ownership · vendor & alliance ecosystem · Top 100 strategic accounts · NA, LATAM, Middle East, Europe, Australia
- Co-led Globant's GenAI strategy; co-created and scaled AI Pods to 17+ accounts (~30% faster time-to-value, ~20% less rework)
- Core banking modernization: 6 institutions, 100+ apps, up to 40% OPEX reduction in 12 months
- Improved time-to-impact ~30% vs baseline via standardized workflows with quality gates
Accenture
Jul 2021 – Jun 2024Data & Analytics Manager — Practice Lead, Data & AI Colombia
- Founded the Generative AI practice ”Genoma”, 7 reusable assets, delivery models, enablement, commercial narratives
- Led Data & AI strategy for Banking and Oil & Gas: roadmaps, investment cases, transformation programs
- 11+ initiatives · 10+ Data/AI strategies delivered
Xertica
Mar 2020 – Jun 2021Head of Pre-Sales LATAM
- Redesigned the end-to-end pre-sales process, funnel discipline, consistency, targets exceeded
- Opened and expanded executive relationships: 7+ new enterprise accounts
- +7% conversion · +22% revenue · −5% delivery time · +70% client satisfaction · +10% alliance revenue
Visión Colombia
Dec 2014 – Feb 2020Solutions Manager
- Built reusable assets and delivery standards, faster time-to-market, consistent execution
- Led strategic bids that grew revenue and strengthened retention
- +35% contribution to target · +75% retention · +22% revenue via bids · 20+ assets · 20+ projects on time & scope
Foundation
2006 – 2014Visión — Senior Consultant · Mainsoft — Security & Platform Consultant
- Platform administrator → DBA → data engineer → data architect → technical lead, the technical floor every executive call still stands on
Executive scope, technical depth.
The CTO differentiator is holding both columns at once.
- Data & AI strategy: executive priorities into roadmaps, investment cases, capability design
- Operating model & governance design: co-created AI Pods at Globant; created Value OS at Athrios; governance wired into execution (30% cost ↓ in 14 months)
- Subscription-based delivery: tiers, intake rules, KPI reporting, predictable cost
- C-level stakeholder management: commercial cycle and delivery governance with executives
- Multi-region leadership: 20 managers, 345 indirect, 5 regions, annual budget
- Commercial strategy: US$3M practice target ~20% YoY · +22% revenue · US$60M program closed
- Change management & adoption: transformation installed through cadence, owners, gates, metrics
- 200+ architectures designed and built, banking, retail, healthcare, insurance
- Platform migrations: Teradata, Cloudera, Netezza, Oracle → GCP, AWS, Azure; multicloud, lakehouse, data fabric, data mesh
- Batch → real-time: Kafka, CDC, windowing, Lambda/Kappa; stream only where latency changes the decision
- Agentic stack: MCP, Agent-to-Agent, LangChain; RAG / hybrid / agentic RAG on pgvector & Qdrant
- Engines: Databricks, Snowflake, BigQuery · Delta Lake/Iceberg · dbt · catalogs
- Banking-grade controls: certified regulatory reporting, source-to-KPI lineage, masking, RBAC/ABAC, MDM golden records
- DevOps / IaC: CI/CD, Terraform · Anthropic ecosystem: Claude Code, MCP in agentic designs
How I run transformation.
Agents without governance create faster noise; agents with operating discipline create leverage.
Governance should work as guardrails that accelerate trusted delivery, not as bureaucracy that delays it.
Start with the business metric; then design the platform and operating model around it.
Transformation is not announced; it is installed, through cadence, owners, gates, metrics and adoption.
Leverage beats headcount.
Quality is not cleanup; it is operating discipline.
Education & certifications.
Full résumé with detailed scope, metrics and project history.
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