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Team Lead, Data Operations (Citymapper)

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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Average salary estimate

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What You Should Know About Team Lead, Data Operations (Citymapper), Via

At Citymapper, powered by Via, we’re on a thrilling journey to transform urban mobility for millions of users around the globe! As a Team Lead for Data Operations based in New York, you’ll become a vital part of this mission, steering a dynamic team of Data Analysts who are the backbone of our application’s success. With your leadership, this talented group will ensure that our app delivers only the best data quality for users relying on accurate transport information. Your responsibilities will include collaborating closely with engineers to develop scalable tools and automating tasks to enhance data reliability. You'll also have the exciting task of innovating new ways to measure data quality and partnering with marketing to share our achievements. Furthermore, you’ll have the unique opportunity to work with other teams within Citymapper, Remix, and Via, driving product development and assisting with customer success. To succeed in this role, you’ll need at least 4 years of experience in a fast-paced environment and a knack for managing teams to achieve excellence. If you’re passionate about elevating data quality and have a strong foundation in both technical and non-technical communication, you’ll thrive as you help millions navigate their cities with confidence. Join us in making Citymapper the go-to solution for urban mobility – because everyone deserves to enjoy the ride, stress-free!

Frequently Asked Questions (FAQs) for Team Lead, Data Operations (Citymapper) Role at Via
What does a Team Lead, Data Operations do at Citymapper?

A Team Lead, Data Operations at Citymapper leads a team of Data Analysts ensuring optimal data quality for the application. They collaborate with engineers to automate tasks, develop innovative measurement methods for data quality, and engage with marketing to communicate success stories.

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What qualifications do I need to apply for the Team Lead, Data Operations position at Citymapper?

To apply for the Team Lead, Data Operations at Citymapper, candidates should have at least 4 years of experience in a related field, preferably in operations management. Skills in data handling, team leadership, and effective communication are essential.

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What is the salary range for the Team Lead, Data Operations role at Citymapper?

The salary range for the Team Lead, Data Operations position at Citymapper is between $80,000 and $90,000, determined by the candidate’s experience, knowledge, and skills.

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What are the career growth opportunities as a Team Lead, Data Operations at Citymapper?

As a Team Lead, Data Operations at Citymapper, you have numerous opportunities for career growth, including potentially advancing to higher leadership roles within the company while enhancing your skills in team management and data strategy.

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Is experience with Python necessary for the Team Lead, Data Operations role at Citymapper?

While experience with Python is not required, it is considered a plus for the Team Lead, Data Operations position at Citymapper, especially if it enhances your ability to manage data effectively.

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How does Citymapper ensure data quality in its application?

Citymapper ensures data quality through rigorous processes managed by the Data Operations team, including real-time monitoring, automated data checks, and continuous collaboration with product development and marketing teams.

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Can I apply for the Team Lead, Data Operations role at Citymapper if I don't meet all the qualifications?

Yes! At Citymapper, we encourage diverse candidates to apply for the Team Lead, Data Operations position even if they don’t meet every qualification outlined in the job description. We value unique perspectives and experiences.

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Common Interview Questions for Team Lead, Data Operations (Citymapper)
How do you measure the success of data quality in your previous roles?

In previous roles, I measured data quality success by assessing accuracy rates, user satisfaction, and the efficiency of data handling processes. I implemented key performance indicators (KPIs) that provided a clear picture of data integrity and its impact on business decisions.

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Can you describe your experience in leading data-focused teams?

I have successfully led data-focused teams by establishing clear goals, fostering a collaborative environment, and prioritizing continuous improvement initiatives, which enhanced overall productivity and morale.

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What strategies do you use to communicate technical data insights to non-technical audiences?

To effectively communicate technical data insights, I use simple language and visual aids such as charts and graphs, focusing on actionable insights that align with business objectives, ensuring everyone understands the implications of the data.

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How do you handle conflicts within your team?

I address conflicts within the team by promoting open communication, encouraging team members to voice their concerns, and facilitating discussions that help us find collaborative solutions, which ultimately strengthen our working relationships.

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What tools have you used to improve data operations in past projects?

In past projects, I have utilized tools like SQL for database management, Python for automation, and BI tools for data visualization, all of which helped streamline data operations and provide deeper insights.

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How do you prioritize data quality over speed of delivery?

While speed is important, I prioritize data quality by implementing comprehensive review processes and checks, ensuring that the data delivered meets the highest standards, which ultimately enhances customer trust and satisfaction.

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What experience do you have with large datasets?

I have significant experience working with large datasets, employing various data management techniques, including data cleaning, normalization, and analysis, to ensure accuracy and usability for decision-making.

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Describe a challenging project you've worked on related to data operations.

One challenging project involved overhauling a data collection process, where I led cross-functional teams to address integration issues, which required comprehensive stakeholder communication and detailed project planning to achieve the desired outcomes.

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How do you stay updated with trends in data operations?

I stay updated with trends in data operations by regularly engaging with industry literature, attending conferences, and participating in professional communities that focus on data management and analytics.

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What role does mentorship play in your leadership style?

Mentorship plays a crucial role in my leadership style, as I believe in nurturing talent and providing guidance to my team. I encourage individual growth by offering support and sharing knowledge, which helps to build a high-performing team.

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MATCH
VIEW MATCH
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$80,000/yr - $90,000/yr
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
November 29, 2024

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