Head of Data

WE TRANSFORM THE FUTURE OF PEOPLE

Qibit Mèxico is the global network of talent experts in digital and technological profiles. We are part of the largest ecosystem and global leader of integrated human capital solutions, Gi Group Holding. We create value by connecting leading companies with the best talents in the market around the world. Our purpose is to build bridges, change careers and transform people's future.

Overview

The Head of Data is responsible for defining and executing the company's data strategy, ensuring that data becomes a core asset that drives business growth, operational efficiency, and informed decision‑making. This role oversees data governance, data engineering, analytics, and advanced data initiatives such as AI and machine learning. The ideal candidate combines strategic vision with strong technical leadership and the ability to collaborate across business units.

Key Responsibilities

Data Strategy & Leadership

Data Strategy & Leadership

• Develop and implement a company‑wide data strategy aligned with business objectives.

• Lead and mentor multidisciplinary teams including data engineering, analytics, BI, and data science.

• Establish a long‑term roadmap for data platforms, architecture, and tooling.

• Promote a data‑driven culture across the organization.

Data Governance & Quality

• Define and enforce data governance policies, standards, and best practices.

• Ensure data accuracy, consistency, security, and compliance with relevant regulations (e.g., GDPR, CCPA, local data laws).

• Oversee data cataloging, lineage, and metadata management.

Data Engineering & Architecture

• Lead the design and optimization of scalable data pipelines, data warehouses, and data lakes.

• Evaluate and implement modern data technologies (cloud platforms, ETL/ELT tools, streaming systems).

• Ensure high availability, performance, and reliability of data infrastructure.

Analytics & Insights

• Oversee the development of dashboards, KPIs, and analytical models that support strategic decision‑making.

• Partner with business leaders to identify opportunities for data‑driven improvements.

• Drive the adoption of advanced analytics, predictive modeling, and AI solutions.

Cross‑Functional Collaboration

• Work closely with Product, Engineering, Finance, Operations, and Executive Leadership to align data initiatives with business priorities.

• Translate complex data concepts into actionable insights for non‑technical stakeholders.

• Manage relationships with external vendors, consultants, and technology partners.

Qualifications

Education & Experience

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.

• 8–12+ years of experience in data‑related roles, with at least 4 years in leadership positions.

• Proven experience building and scaling modern data platforms and teams.

Technical Skills

• Strong knowledge of cloud data ecosystems (AWS, Azure, GCP).

• Expertise in SQL, data modeling, ETL/ELT frameworks, and data warehousing.

• Familiarity with analytics tools (Power BI, Tableau, Looker) and machine learning frameworks.

• Understanding of data governance frameworks and regulatory compliance.

Soft Skills

• Strategic thinker with strong business acumen.

• Excellent communication and stakeholder‑management abilities.

• Ability to lead, inspire, and develop high‑performing teams.

• Strong problem‑solving and decision‑making skills.

Success Metrics

• Adoption of data‑driven decision‑making across the organization.

• Improved data quality, accessibility, and reliability.

• Delivery of high‑impact analytics and AI initiatives.

• Efficient scaling of data infrastructure and teams.

• Compliance with data governance and regulatory standards.

Location: CDMX,

Competitive salary + benefits