Head of Data

Marathon Talent

. Define and execute the data roadmap, prioritized by business value.

Posted 10/28/2026full-timeBogotá • ColombiaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data teams and executing data roadmaps, with a strong focus on predictive modeling, data quality frameworks, and compliance with financial regulations. Proficient in SQL and Python, with hands-on experience in cloud data warehousing and AI use cases.

Highest-signal resume keywords

Data Team LeadershipSQL ExpertisePredictive ModelingBigQuery ManagementColombian Financial Regulations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonPredictive ModelingData Quality FrameworksData Warehouse DesignCDC PipelinesDimensional ModelingA/B TestingData Privacy ControlsData Contracting

Soft Skills

Executive CommunicationDecision-MakingAdaptability

Tools & Technologies

BigQueryMongoDBPostgresDbtDataformOrchestration ToolsAI Agents

Industry Keywords

FintechLendingBankingColombian RegulationISO 27001Payroll LoansPension Deducted LoansCausal InferenceLoan TapesCovenant Reporting

Tech Stack

Tools & technologies

BigQueryCloudMongoDBPostgresPythonSQL

About the role

Key responsibilities & impact

Define and execute the data roadmap, prioritized by business value.
Build and lead the data team across analytics engineering, data engineering and data science.
Own the BigQuery warehouse and MongoDB/Postgres CDC pipelines.
Build certified gold layers, immutable snapshots, data contracts, quality tests and freshness SLAs.
Establish documented definitions for core metrics shared by BI, finance and AI tools.
Prepare credit-lifecycle data for LLM consumption, including data dictionaries, PII redaction, structured documents and conversation data, versioned RAG corpora and evaluation frameworks.
Partner with product and engineering to deploy AI agents in onboarding, customer service and collections, measuring cost and service-level impact.
Lead default prediction, underwriting and risk-based pricing models, validated through controlled experiments.
Build predictive models for broker activation, churn and productivity to prioritize commercial efforts and increase origination.
Deliver reproducible, auditable loan tapes, borrowing base and covenant reports for warehouse lenders and investors, reconciled with accounting.
Ensure data practices comply with Colombian regulation and support ISO 27001 controls.
Make A/B testing the default for product and pricing decisions and enable self-serve analytics across the company.

Requirements

What you’ll need

Based in Bogotá, Colombia.
8+ years of experience in data, with at least 3 years leading data teams, preferably in fintech, lending or banking.
Hands-on expertise in SQL and Python, and in modern data stack tools (BigQuery or similar cloud warehouse, dbt or Dataform, orchestration).
Proven experience designing a data warehouse from operational sources, including CDC pipelines, dimensional modeling and data quality frameworks.
Track record of taking predictive models (credit risk, propensity or pricing) from analysis to production, with monitoring in place.
Experience delivering AI or LLM use cases in production, including retrieval, evaluation and data privacy controls.
Excellent executive communication, with the ability to present to leadership committees, investors and funding partners.
Ability to operate in highly uncertain environments and make decisions with incomplete information.
Bachelor's degree in Engineering, Statistics, Computer Science, Economics or a related quantitative field.
Preferred: Experience with payroll and pension deducted loans (PDL) or other structured loan products.
Preferred: Familiarity with Colombian financial and data regulations (SFC, SIC, Ley 1581, Ley 1266).
Preferred: Experience building loan tapes and covenant reporting for warehouse facilities or securitizations.
Preferred: Experience with experimentation platforms and causal inference.
Preferred: Master's degree in a quantitative field.
Preferred: Experience scaling data functions in a startup environment.