At Citymapper (powered by Via), we’re on a mission to help make complex cities more accessible to everyday users. Our application transports millions of people in hundreds of cities around the world by giving them access to the most current and sophisticated transportation options available. We make getting around your favourite city easy, so that you can enjoy the ride.

As a Team Lead, Data Operations at Citymapper, you will be responsible for the data and the team that is the backbone of our application’s success. You’ll lead a team of highly skilled and motivated Data Analysts who form the foundation of Citymapper’s exceptional data quality. Millions of users around the world trust our application to be on time for work, a job interview, or a date - and we take great responsibility in fulfilling that need.

What You'll Do:

  • You’ll lead a team of highly skilled and motivated Data Analysts, the driving force behind Citymapper’s exceptional data quality.
  • You will work with our engineers to build for scale by improving tools and automating tasks, ensuring the highest data quality for all regions
  • You will develop and evolve new ways of measuring and improving data quality, and work with our marketing team on telling that story.
  • You will collaborate with other teams at Citymapper, Remix and Via to facilitate product development and delivery, customer success and retention, and user growth.
  • You will ensure data quality in our web and mobile products so that users continue to love and trust Citymapper.

Who You Are:

  • A generalist with at least 4 years of experience to guide you – preferably as a technical/operations manager or team lead in a fast-paced, product-oriented company
  • You have a proven track record of managing teams with exceptional attention to detail and a strong ability to uphold high standards across your team.
  • A leader who builds and motivates high-performing teams through mentorship, clear goal-setting, and fostering a culture of continuous improvement
  • You are comfortable dealing with large datasets and skilled at translating them into actionable insights that drive business decisions
  • You excel at communicating complex technical concepts to both technical and non-technical audiences
  • Fluency in English is a must (other languages considered a huge plus)

What Catches Our Eye:

While not required, it would be a definite plus:

  • Experience working with Python, and/or common transit data formats (GTFS, TransXChange, Siri, Hafas, etc).
  • A passion for public transportation and cities, and an interest in how public transportation networks operate.

Compensation and Benefits:

  • Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
  • Salary Range: $80,000-$90,000
  • We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.

We’re Via, and we build technology that changes the way the world moves. We pioneered the TransitTech category to ensure that the future of transportation is shared, dynamic public mobility — the kind that reduces carbon emissions across congested cities, minimizes reliance on private cars, and provides everyone with accessible, efficient, and affordable ways of getting around. 

We created the first end-to-end TransitTech solution for cities and transit agencies, offering world-class software, service design, and operational expertise to fundamentally improve the way the world moves.

Via was founded with the guiding principle that we go further when we go together. We are dedicated to building a diverse, inclusive and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. All backgrounds, identities, and voices are welcomed and celebrated at Via.

Ready to join the ride? 

Via is an equal opportunity employer.

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