Marketing Data & Tech Manager (Remote)

Oportun; México; Remote; MXN 900,000 - 1,600,000; Full time

Job summary

Oportun is seeking a hands-on Manager of Marketing Data and Technology to own data reliability across the marketing ecosystem. You’ll lead data validation, tagging, APIs, and automation initiatives, partnering with Marketing, Analytics, Product, and Engineering to ensure accurate, timely data.

In this role you’ll use Python/SQL to transform data, monitor data flows, and document processes. You’ll thrive in a fast-paced, cross‑time‑zone setting and help drive AI-enabled improvements for

Qualifications

• 5+ years of marketing technology, data operations, data engineering, marketing analytics, or similar technical role.
• Proficiency in Python or SQL with the ability to write, troubleshoot, and maintain code for data validation, transformation, or automation.
• Hands-on experience managing website tagging and tracking, including Google Analytics and tag management platforms (Google Tag Manager or Tealium).
• Experience configuring, testing, and troubleshooting REST APIs, webhooks, and data integrations.
• Experience reconciling data across systems, implementing quality checks, and resolving underlying data issues.
• Demonstrated ability to serve as the primary owner of assigned systems and processes in a small team environment.
• Strong problem‑solving skills with the ability to identify issues, recommend practical solutions, and follow through on implementation.
• Strong organizational, documentation, communication, and project management skills.
• Ability to work autonomously across teams, vendors, and time zones while managing competing priorities.

Responsibilities

• Own marketing data quality across assigned platforms and internal databases, including accuracy, completeness, consistency, and timely delivery.
• Build and maintain validation, reconciliation, monitoring, and alerting processes to identify missing records, discrepancies, and failed data flows.
• Investigate root causes of data and integration issues and drive solutions through implementation and ongoing monitoring.
• Manage website tagging and tracking, including Google Analytics, tag management configurations, pixels, and event implementations.
• Configure, maintain, monitor, and troubleshoot APIs, webhooks, and data integrations between marketing vendors and internal systems.
• Use Python or SQL to query, validate, transform, and reconcile data and automate recurring operational tasks.
• Manage and troubleshoot assigned MarTech tools and configurations to support reliable data collection, audience activation, and reporting.
• Establish and maintain consistent UTM parameters, campaign naming conventions, and tracking standards to improve attribution and measurement.
• Identify data gaps, process weaknesses, and opportunities to improve tracking, integrations, automation, and operational efficiency.
• Document data flows, tracking definitions, configurations, validation procedures, and troubleshooting processes to support team continuity and reliable operations.
• Coordinate with cross-functional partners and vendors on requirements, testing, releases, issue resolution, priorities, and risks.
• Look for practical ways to use AI and automation to improve data validation, monitoring, troubleshooting, documentation, and operational efficiency.
• Look for ways to use AI tools thoughtfully — to work smarter, reduce manual work, and make better decisions faster

Skills

Python/SQL

Website tagging

APIs & Integrations

Data quality checks

Documentation

Cross-functional coordination

Autonomy

Project management

Education

Bachelor’s degree or equivalent

Tools

Databricks

Amplitude

Iterable

Job description

Oportun is seeking a hands-on Manager of Marketing Data and Technology to own data reliability across the marketing ecosystem. You’ll lead data validation, tagging, APIs, and automation initiatives, partnering with Marketing, Analytics, Product, and Engineering to ensure accurate, timely data.

In this role you’ll use Python/SQL to transform data, monitor data flows, and document processes. You’ll thrive in a fast-paced, cross‑time‑zone setting and help drive AI-enabled improvements for