Data Manager

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Lead, mentor, and develop the data team (comprising data engineers and analysts), establishing clear objectives, career pathways, and providing continuous feedback.

• Define and implement the data strategy and roadmap in collaboration with Product, Engineering, Finance, and Operations teams.

• Take ownership of the design and progression of the data platform, focusing on ingestion, modeling, warehousing, and serving layers on the cloud.

• Construct and uphold reliable, scalable data pipelines (both batch and streaming) that manage high volumes of payment transactions across various countries.

• Ensure data quality, lineage, and observability, while defining SLAs and monitoring critical datasets.

• Establish data governance, access control, and security protocols in line with PCI DSS and local data protection laws.

• Provide reliable reporting and self-service analytics for essential business areas: transactions, settlements, reconciliation, treasury, merchant performance, and revenue.

• Define and monitor company-wide KPIs and metrics, serving as the definitive source of truth for business data.

• Collaborate with Risk, Compliance, and Product teams on fraud detection, risk scoring, and ML/AI applications.

• Promote the use of AI tools throughout the data lifecycle to enhance analysis, automation, and decision-making.

• Translate business queries into data solutions and convey insights clearly to both leadership and non-technical stakeholders.

• Assist with hiring, onboarding, and the professional growth of data talent.

⛳️ Requirements

• 6–8+ years of experience in data engineering, analytics, or business intelligence, including at least 2–3 years in leadership roles within data teams.

• Demonstrated experience in building and scaling data platforms and teams in fast-paced tech companies or fintech environments.

• 4+ years of experience within a Fintech setting.

• Advanced SQL skills and strong expertise in Python for data processing and automation.

• Practical experience with cloud data stacks, preferably AWS (S3, Redshift, Glue, Athena, Lambda) or alternatives such as Snowflake or BigQuery.

• Familiarity with orchestration and transformation tools like Airflow and dbt, as well as streaming/messaging technologies such as Kafka or SQS.

• Comprehensive knowledge of data modeling, including dimensional modeling and data warehouse/lakehouse architectures.

• Experience using BI and visualization tools like Looker, Power BI, Tableau, or Metabase.

• Strong grasp of data governance, data quality frameworks, and security best practices in regulated settings.

• Exposure to machine learning workflows (feature engineering, model deployment, fraud/risk models) is advantageous.

• Regular, hands-on use of AI tools (e.g., Claude, Copilot, or similar) in data-related tasks.

• Proficient in English and Spanish.

• Excellent leadership, communication, and stakeholder management abilities with a strong sense of ownership.

• Strategic mindset—capable of linking data initiatives to business results and prioritizing for impact.

• Ability to convert complex data concepts into straightforward insights for non-technical audiences.

• Flexibility and comfort in fast-paced, multicultural, and distributed work environments.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible working hours and remote work options.

• Opportunities for professional development and training.

• Collaborative and inclusive company culture.

• Paid time off and holidays.