Who we are?

There’s a fintech revolution underway in Mexico, and Clip is leading the way!

Clip is the leading platform for digital payments and financial solutions. We were born with the idea that all businesses in Mexico should have the opportunity to access the latest innovation in financial technology, driven by #ElPoderDeClip.

Being part of Clip will make you proud. You will work in what you are passionate about within a talented community, in a safe space where you can be your best self and where growth means constant learning.

The Role

We are looking for a Senior Manager to join our fast-growing fintech and lead a data-focused team supporting a newly established business unit while aligning with core products. The role involves co-developing data strategies with leadership, implementing governance frameworks, analyzing data for insights, and ensuring a scalable, robust data architecture.

The ideal candidate will foster a collaborative team culture, manage risk and compliance, and drive continuous improvement and innovation. They will oversee strategic business unit projects and contribute to sustained growth in a dynamic fintech landscape.

What will I be doing?

1. Stakeholder Management: Act as a key liaison between technical and non-technical stakeholders, collaborating with product, marketing, finance, and compliance teams to understand their data needs and deliver impactful solutions that align with business objectives.
2. Team Leadership and Mentorship: Lead, develop, and inspire a team of data analysts, engineers, and scientists. Foster a culture of collaboration, innovation, and continuous learning while ensuring team goals are aligned with organizational objectives.
3. Data Strategy Co-development: Co-define, with the leadership, and execute a data strategy that supports the goals of the Financial Services Business Unit and aligns with company objectives, providing clear direction to the data team under your leadership.
4. Data Governance: Implement and enforce robust data governance policies to ensure data quality, integrity, privacy, and security. Collaborate with other Data Directors to align on standards, metadata management, and regulatory compliance.
5. Data Analysis and Insights: Oversee the analysis of large datasets to uncover actionable insights, identify trends, and inform strategic decisions using advanced analytics, machine learning techniques, and data visualization tools.
6. Data Architecture and Infrastructure: Partner with IT teams to design and maintain scalable, efficient, and future-proof data architecture and infrastructure, including database technologies, data warehouses, and cloud solutions.
7. Data Engineering: Lead efforts to develop efficient and scalable ETL pipelines, data integration solutions, and data storage systems to support business and analytical needs.
8. Risk and Compliance Management: Identify and mitigate risks related to data security, breaches, and regulatory non-compliance. Ensure robust security measures, disaster recovery plans, and adherence to industry standards.
9. Continuous Improvement: Drive innovation and continuous improvement across all data-related processes, leveraging emerging technologies and best practices to maintain a competitive edge.Key

Ideal Candidate

1. Bachelor's degree in Computer Science, Information Technology
2. 4+ years managing teams
3. 5+ years of experience in data engineering teams.

Technical knowledge

1- Data Management:

• Understanding of database systems (relational databases like MySQL, PostgreSQL, and NoSQL databases like MongoDB, Cassandra).
• Knowledge of data modeling techniques to design efficient and scalable databases.
• Familiarity with data warehousing concepts and platforms such as Amazon Redshift, Google BigQuery, or Snowflake.
• Experience with data integration tools and techniques for extracting, transforming, and loading (ETL) data from various sources.

2- Data Analytics and Visualization:

• Ability to develop and interpret complex SQL queries for data analysis.
• Proficiency in statistical analysis and data mining techniques.
• Experience with analytical tools and languages such as Python (with libraries like Pandas, NumPy, SciPy), R, or MATLAB.
• Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn in Python.

3- Machine Learning and Predictive Analytics:

• Understanding of machine learning algorithms and techniques for predictive modeling, classification, clustering, and regression.

4- Big Data Technologies:

• Experience with distributed computing frameworks such as Apache Spark.
• Knowledge of cloud-based big data platforms like AWS or GCP.
• Understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying and managing big data applications.

5- Data Security and Compliance:

• Awareness of data security principles and best practices to ensure the confidentiality, integrity, and availability of data.
• Experience implementing security controls, encryption techniques, and access management policies.

6- Programming and Scripting:

• Proficiency in programming languages such as Python or Java for developing data pipelines, applications, and automation scripts.

7- Software Development Lifecycle:

• Understanding of software development methodologies such as Agile or DevOps, and their application to data projects.

Clip was born with the genuine idea of financial inclusion and this has been our way of living ever since.

In Clip, we are committed to a diverse and inclusive workplace. Clip does not discriminate on any basis of origin, gender identity, sexual orientation, race, disability, age or other legal status. Clip is an equal opportunity employer.

If you are unstoppable, creative and have the skills we need, we want to hear from you!

Consult our privacy notice: https://www.clip.mx/privacidad.