Overview
As the Head of Data Science & Data Engineering , you will play a pivotal role in shaping the future of Bankaya's data capabilities. This is a unique hybrid leadership position where you will both manage and mentor our talented Data Science and Data Engineering teams while also remaining a hands-on individual contributor. You\'ll work directly on the most critical projects, unblocking the team and ensuring we deliver high-quality, impactful data solutions.
You will be a key member of our internal Design Committee, collaborating with our ML Architect, Business Intelligence / Data Coordinator, and Tech Leads to define and execute our long-term data strategy. This is a rare opportunity to build, lead, and get your hands dirty with the technology that drives a leading Mexican fintech.
What You'll Do
- Lead & Grow the Team : You will lead and manage a high-performing team of data engineers and data scientists. Your primary focus will be on their career development, providing mentorship, and fostering a collaborative, innovative, and technically excellent culture.
- Be a Hands-On IC : You won\'t just be a manager. You will be a hands-on contributor, jumping into the code to finish critical tasks, solve complex technical challenges, and unblock the team when needed.
- Define Strategic Direction : As part of the Design Committee, you will help set the technical vision and roadmap for our entire data ecosystem. You will be responsible for defining our data platform, architecture, and technology stack.
- Drive End-to-End Solutions : You will oversee the entire data lifecycle, from building robust data pipelines and warehousing solutions to deploying and monitoring machine learning models in production.
- Collaborate and Partner : You will work closely with stakeholders across the company, including Product, Engineering, and Business teams, to understand their needs and deliver data-driven solutions that directly impact our business and customers.
Required Qualifications
Dual-Role Experience : You have proven experience leading both Data Science and Data Engineering teams. You must demonstrate a clear history of being an effective manager who also maintains hands-on technical skills.Strong Technical Foundation : Significant hands-on experience in at least one of these disciplines (Data Science or Data Engineering) with a solid working knowledge of the other. You are proficient in Python and SQL and have a deep understanding of data warehousing, ETL / ELT, and cloud platforms (AWS, GCP, or Azure).Strategic & Architectural Mindset : You\'re a big-picture thinker who can design scalable, reliable, and secure data infrastructure and solutions.People Leader : You have a passion for mentoring and growing talent. You can motivate and inspire a team to do their best work.Communication Skills : You can communicate complex technical concepts to both technical and non-technical audiences.Preferred Qualifications
Fintech Experience : Prior experience in the fintech, banking, or payments industry is a strong plus.Location : While not a hard requirement, experience working within or a strong understanding of the Mexican / LATAM market is highly valued.Bilingual : Fluency in Spanish and English is a significant advantage.If you\'re a seasoned leader who loves to stay hands-on and wants to build the data foundation for a fast-growing Mexican fintech, we encourage you to apply.
Seniority level
Not ApplicableEmployment type
Full-timeJob function
Engineering and Information TechnologyIndustries
Technology, Information and Internet#J-18808-Ljbffr