⭐ BE PART OF THE EXITLAG CLAN

GPTW certified company – Great Place to Work

Are you a fan of games, technology, and challenges that make a difference? ExitLag could be your next big mission.

We are the world's first AI-powered game optimization platform, ensuring maximum performance and connection stability for millions of players in over 190 countries.

Born in Brazil, we operate with a global culture, high performance, and a total focus on user experience. Here, gaming is serious business, and we always deliver in PRO mode.

Why work at ExitLag?

✅ We are GPTW – Great Place To Work

A high-performance team, strong culture, and people who truly believe in what they do.

✅ Impact beyond gaming

Your work transforms the experience of millions of gamers around the world.

✅ Growth + Real challenge

An environment that accelerates your technical and professional development with autonomy and delivery.

✅ Global Mindset

We are Remote First and work on global projects. Where you are never limits how far you can go.

Job Purpose

Lead the structuring, evolution, and consolidation of the Data function responsible for supporting a specific business unit at ExitLag. This role ensures that data is reliable, accessible, and properly modeled so analysts and business teams can easily consume it to drive decision-making.

The Data Manager will connect data strategy with business execution, ensuring that data initiatives align with business priorities and generate measurable impact. This role will be responsible for establishing the technical foundations, processes, and governance necessary to scale data usage across the organization while enabling insights, analytics, and experimentation that support strategic decisions.

Key Responsibilities

Data Team Structure & Data Infrastructure

• Build and structure the Data function supporting a specific business area.
• Design and implement processes, integrations, and pipelines required for efficient data collection, transformation, and storage.
• Develop scalable data pipelines to support ingestion, transformation, and delivery of business-critical data.

Data Architecture & Modeling

• Define and evolve the organization’s data modeling strategy to ensure consistency, reliability, and ease of consumption.
• Ensure proper documentation of datasets, metrics, and data structures.

Stakeholder Management & Prioritization

• Define and manage the data roadmap aligned with short- and mid-term business priorities.
• Act as the main liaison between the Data team and business leadership.
• Ensure clarity around scope, expectations, timelines, and deliverables for data initiatives.

Data Governance & Quality

• Establish and enforce best practices in data governance, quality, reliability, and security.
• Monitor and ensure the integrity and trustworthiness of data used in decision-making.

Analytics & Business Insights

• Structure dashboards, metrics frameworks, and analytical models that support strategic decision-making.
• Translate data into actionable insights that drive business growth and operational efficiency.
• Support experimentation initiatives, including A/B testing and hypothesis validation.

Leadership & Team Development

• Lead, mentor, and develop the Data team, fostering technical growth, autonomy, and a high-performance culture.
• Act hands-on when necessary, supporting architecture decisions, complex analysis, and problem-solving.

Communication & Strategic Alignment

• Communicate insights, results, and data-driven recommendations clearly to both technical and non-technical stakeholders.
• Contribute to the company’s broader data strategy by aligning technical capabilities with business needs.

Technical Requirements

• Fluent English (ability to communicate with international stakeholders).
• Solid experience in data engineering and data architecture in scalable environments.
• Proven experience building or restructuring data teams or data functions.
• Strong experience with data pipelines (ETL/ELT), Data Lakes, and Data Warehouses.
• Advanced SQL proficiency and strong understanding of data modeling best practices.
• Knowledge of data governance, data quality, and data security frameworks.
• Previous experience leading technical teams or managing data professionals.

Nice to Have

• Experience with advanced analytics, statistics, or data science initiatives.
• Experience leading experimentation frameworks and A/B testing programs.
• Background in technology companies, digital platforms, or high-scale data environments.

Benefits and Advantages:

1. Hiring as a legal entity (PJ)
2. 100% remote and flexible environment
3. Solid career plan aligned with performance.
4. Allowance for home office, health, wellness, and food of R$1,300.00 on a Flash card
5. Partnership with TotalPass, Zenklub, and Exitlag free of charge, available to everyone in the Clan.
6. Paid time off and days off to ensure you are always at your best.
7. Profit sharing plan + company shares after 6 months of employment.
8. 50% assistance for courses and specializations after 6 months of employment.
9. Bradesco health plan 100% paid by the company for the holder
10. Annual bonus of one salary for the entire company, proportional to your length of service.