Head of Data

Head of Data to own our data platform end to end and turn it into a competitive advantage across the full credit lifecycle, from broker acquisition and origination to underwriting, servicing and collections. Reporting to the VP of Product & Data, you will build the data foundations, make our data ready for AI and LLM consumption, and lead the high-impact projects in pricing, credit risk, growth and operational efficiency. The ideal candidate is a builder who leads: hands-on enough to model a warehouse and ship a model, senior enough to set the data strategy, build the team and present to executive leadership and funding partners.

About Marathon Talent

We are a fast-growing fintech, founded in Colombia by a team with extensive experience in both lending and technology. We provide top-tier credit products and technology solutions with a user-focused approach, ensuring quick and efficient loan origination. Our mission is to offer the best lending experience in the market.

This role is a critical leadership position within our company, with the opportunity to shape how data and AI power every lending decision we make. If you are a builder who thrives at the intersection of data platforms, credit and AI, we'd love to hear from you!

Responsibilities

• Data Strategy & Leadership: Define and execute the data roadmap, prioritized by business value, and build and lead the data team (analytics engineering, data engineering and data science).
• Data Warehouse & Infrastructure: Own our BigQuery warehouse and MongoDB/Postgres CDC pipelines. Build certified gold layers, immutable snapshots, data contracts, quality tests and freshness SLAs.
• Semantic Layer & Metrics: Establish a single, documented definition for every core metric (origination funnel, conversion, delinquency, vintages) shared by BI, finance and AI tools.
• AI & LLM Data Readiness: Prepare data across every stage of the credit lifecycle for LLM consumption: machine-readable data dictionaries, PII redaction, structured document and conversation data, versioned RAG corpora and evaluation frameworks.
• AI Agents & Operational Efficiency: Partner with product and engineering to deploy AI agents in onboarding, customer service and collections, measuring their impact on cost and service levels.
• Credit Risk & Pricing Analytics: Lead the evolution of default prediction and underwriting models (including reject inference and bureau data) and risk-based pricing, validated through controlled experiments.
• Growth & Distribution Analytics: Build predictive models for our broker network (activation, churn and productivity) to prioritize commercial efforts and increase origination.
• Funding & Investor Reporting: Deliver reproducible, auditable loan tapes, borrowing base and covenant reports for warehouse lenders and investors, reconciled with accounting.
• Data Governance & Compliance: Ensure data practices comply with Colombian regulation (Ley 1581 on personal data, Ley 1266 on credit bureau reporting) and support ISO 27001 controls.
• Experimentation & Data Culture: Make A/B testing the default for product and pricing decisions, and enable self-serve analytics across the company.

Requirements

• 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.
• Familiarity with Colombian financial and data regulations (SFC, SIC, Ley 1581, Ley 1266).
• Experience building loan tapes and covenant reporting for warehouse facilities or securitizations.
• Experience with experimentation platforms and causal inference.
• Master's degree in a quantitative field.
• Experience scaling data functions in a startup environment.

Head of Data

Marathon Talent · Bogotá, Colombia (Hybrid) · — · Posted 2026-10-27

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